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Published online by Cambridge University Press:  02 December 2009

David Colander
Affiliation:
Middlebury College, Vermont
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Post Walrasian Macroeconomics
Beyond the Dynamic Stochastic General Equilibrium Model
, pp. 369 - 400
Publisher: Cambridge University Press
Print publication year: 2006

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References

Achen, C. H. and Shively, W. P. (1995). Cross-Level Inference. Chicago: University of Chicago Press.Google Scholar
Adam, K. (2004). Learning to forecast and cyclical behavior of output and inflation. forthcoming. Macroeconomic Dynamics.Google Scholar
Adelman, I. and Adelman, F. L. (1959). The dynamic properties of the Klein-Goldberger model. Econometrica, 27.CrossRefGoogle Scholar
Aghion, P., Frydman, R., Stiglitz, J. and Woodford, M. (2003). Knowledge, Information and Expectations in Modern Economics. Princeton, NJ: Princeton University Press.Google Scholar
Aizer, A. and Currie, J. (2004). Networks or neighborhood? Correlations in the use of publicly-funded maternity care in California. Journal of Public Economics, 88(12).CrossRefGoogle Scholar
Akerlof, G. (2002). Behavioral macroeconomics and macroeconomic behavior. The American Economic Review, 92.Google Scholar
Akerlof, G. and Kranton, R. (2000). Economics and identity. Quarterly Journal of Economics, 115(3).CrossRefGoogle Scholar
Akerlof, G. and Yellen, J. (1990). The fair-wage effort hypothesis and unemployment. Quarterly Journal of Economics, 105.CrossRefGoogle Scholar
Albin, P. S. (1998). Barriers and Bounds to Rationality: Essays on Economic Complexity and Dynamics in Interactive Systems. Princeton, NJ: Princeton University Press.Google Scholar
Albin, P. S. and Foley, D. (1992). Decentralized, dispersed exchange without an auctioneer: a simulation study. Journal of Economic Behavior and Organization, 18.CrossRefGoogle Scholar
Alchian, A. (1950). Uncertainty, evolution, and economic theory. Journal of Political Economy, 58.CrossRefGoogle Scholar
Aldous, D. (1985). Exchangeability and related topics. In Lecture Notes in Mathematics, No. 1117. Berlin: Springer-Verlag.Google Scholar
Allen, B. (1982). Some stochastic processes exhibiting externalities among adopters. International Economic Review, 23(3).CrossRefGoogle Scholar
Allen, T. M. and Carroll, C. D. (2001). Individual learning about consumption. Macroeconomic Dynamics, 5(2).CrossRefGoogle Scholar
Altuğ, S. (1989). Time-to-build and aggregate fluctuations: some new evidence. International Economic Review, 30.CrossRefGoogle Scholar
Ames, E. and Reiter, S. (1961). Distribution of correlation coefficients in economic time series. Journal of the American Statistical Association, 56.CrossRefGoogle Scholar
Andersen, L. C. and Jordan, J. L. (1968). Monetary and fiscal actions: a test of their relative importance in economic stabilization. Federal Reserve Bank of St. Louis Review, November.Google Scholar
Anderson, T. W. (1950). Estimation of the parameters of a single equation by the limited-information maximum-likelihood method. In Statistical Inference in Dynamic Economic Models, ed. Tjalling, K. C.. Cowles Commission Monograph 10. New York, NY: John Wiley & Sons, Inc.Google Scholar
Anderson, T. W. and Rubin, H. (1949a). Estimation of the parameters of a single equation in a complete system of stochastic equations. Annals of Mathematical Statistics, 20.CrossRefGoogle Scholar
Anderson, T. W. and Rubin, H. (1949b). The asymptotic properties of estimates of the parameters of a single equation in a complete system of stochastic equations. Annals of Mathematical Statistics, 21.Google Scholar
Anderson, R. M. and Sonnenschein, H. (1985). Rational expectations equilibrium with econometric models. Review of Economic Studies, 52(3).CrossRefGoogle Scholar
Anderson, P. W., Arrow, K. J. and Pines, D. (1988). The Economy As an Evolving Complex System, Proceedings Volume V, Santa Fe Institute Studies in the Sciences of Complexity. Reading, MA: Addison-Wesley.Google Scholar
Anderson, S. P., Goeree, J. K. and Holt, C. A. (1998). A theoretical analysis of altruism and decision error in public goods games. Journal of Public Economics, 70.CrossRefGoogle Scholar
Ando, A. and Modigliani, F. (1965). The relative stability of monetary velocity and the investment multiplier. American Economic Review, 55, September.Google Scholar
Antoniak, C. (1969). Mixture of Dirichlet Processes with Applications to Bayesian Nonparametric Problems. Ph.D. dissertation, University of California, Los Angeles.Google Scholar
Aoki, M. (1995). Economic fluctuations with interactive agents: dynamic and stochastic externalities. Japanese Economic Review, 46.CrossRefGoogle Scholar
Aoki, M. (1996). New Approaches to Macroeconomic Modeling: Evolutionary Stochastic Dynamics, Multiple Equilibria and Externalities as Field Effects. New York: Cambridge University Press.CrossRefGoogle Scholar
Aoki, M. (2002). Modeling Aggregate Behaviour and Fluctuations in Economics: Stochastic Views of Interacting Agents. New York: Cambridge University Press.Google Scholar
Aoki, M. and Yoshikawa, H. (2002). Demand saturation-creation and economic growth. Journal of Behavioral Organization, 48.Google Scholar
Aoki, M. and Yoshikawa, H. (2003). Uncertainty, policy ineffectiveness and long stagnation of the macro economy. Working Paper No. 316, Center for Japan–U.S. Business and Economic Studies, Leonard N. Stern School of Business. New York University, NY.Google Scholar
Aoki, M. and Yoshikawa, H. (2005). Effects of Demand Share Patterns on GDP, Okun's Law, Beveridge Curves and Sector Sizes. Presentation at the 11th International Conference on Computing in Economics and Finance, Washington, DC, June.Google Scholar
Aoki, M. and Yoshikawa, H. (2006). A Reconstruction of Macroeconomics: a Perspective from Statistical Physics and Combinatorial Stochastic Processes. New York: Cambridge University Press.CrossRefGoogle Scholar
Arifovic, J. (2000). Evolutionary algorithms in macroeconomic models. Macroeconomic Dynamics, 4, 373–414.CrossRefGoogle Scholar
Arifovic, J. and Gencay, R. (2000). Statistical properties of genetic learning in a model of exchange rate. Journal of Economic Dynamics and Control, 24.CrossRefGoogle Scholar
Arrow, K. J. (1987). Oral history I: an interview. In Arrow and the Ascent of Modern Economic Theory, ed. Feiwel, G. R.. New York: New York University Press.CrossRefGoogle Scholar
Arrow, K. J. and Hahn, F. H. (1971). General Competitive Analysis. San Francisco: Holden-Day.Google Scholar
Arthur, W. B. (1997). Asset pricing under endogenous expectations in an artificial stock market. In The Economy as an Evolving Complex System II, eds. Arthur, W. B., Durlauf, S. N., Lane, D. A. and Taylor, P.. Reading, MA: Addison-Wesley.Google Scholar
Arthur, W. B., Durlauf, S. N. and Lane, D. A., eds. (1997). The Economy as an Evolving Complex System II, Proceedings Volume XXVII, Santa Fe Institute Studies in the Sciences of Complexity. Reading, MA: Addison-Wesley.Google Scholar
Auerbach, R. (1982). Some modern varieties of monetarists. Monetarism and the Federal Reserve's Conduct of Monetary Policy, U.S. Congress Joint Economic Committee Report.Google Scholar
Auyang, S. M. (1998). Foundations of Complex-System Theory in Economics, Evolutionary Biology and Statistical Physics. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Axelrod, R. (1984). The Evolution of Co-operation. New York: Basic Books.Google Scholar
Axelrod, R. (1997). The Complexity of Cooperation: Agent-Based Models of Complexity and Cooperation.Princeton, NJ: Princeton University Press.Google Scholar
Axelrod, R. (2006). Agent-based modeling as a bridge between disciplines. In Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics, Handbooks in Economic Series. Amsterdam: North-Holland.Google Scholar
Axelrod, R. and Tesfatsion, L. (2006). A guide for newcomers to agent-based modeling in the social sciences. In Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics, Hand Books in Economic Series. Amsterdam: North-Holland.Google Scholar
Axtell, R. L. (2000). Why agents? On the varied motivations for agent computing in the social sciences. In Proceedings of the Workshop on Agent Simulation: Applications, Models and Tools, eds. Macal, C. M. and Sallach, D.. Chicago, IL: Argonne National Laboratory.Google Scholar
Axtell, R. L. (2001). Zipf distribution of U.S. firm sizes. Science, 293.CrossRefGoogle ScholarPubMed
Axtell, R. L. (2002). Non-cooperative dynamics of multi-agent teams. In Proceedings of the First International Joint Conference on Autonomous Agents and Multiagent Systems, Part 3, eds. Castelfranchi, C. and Johnson, W. L.. Bologna, Italy: ACM Press.Google Scholar
Axtell, R. L. (2003). Economics as distributed computation. In Meeting the Challenge of Social Problems via Agent-Based Simulation, eds. Terano, T., Deguchi, H. and Takadama, K.. Tokyo: Springer-Verlag.CrossRefGoogle Scholar
Axtell, R. L. (2006). Mimeo. A methodology of agent computing in economics. Center on Social and Economic Dynamics.Washington, DC: The Brookings Institution.
Axtell, R. L. and Epstein, J. M. (1999). Coordination in transient social networks: an agent-based computational model of the timing of retirement. In Behavioral Dimensions of Retirement Economics, ed. Aaron, H. J.. Washington, DC: The Brookings Institution Press.Google Scholar
Axtell, R. L., Epstein, J. M. and Young, H. P. (2001). The emergence of classes in a multi-agent bargaining model. In Social Dynamics, eds. Durlauf, S. N. and Young, H. P.. Cambridge, MA/Washington, DC: MIT Press/Brookings Institution Press.Google Scholar
Axtell, R. L., Epstein, J. M., Dean, J. S., Gumerman, G. J., Swedlund, A. C., Harburger, J., Chakravarty, S., Hammond, R., Parker, J. and Parke, M. T. (2002). Population growth and collapse in a multiagent model of the Kayenta Anasazi in Long House Valley. Proceedings of the National Academy of Science USA, 99(suppl. 3).CrossRefGoogle Scholar
Bagehot, W. (1873). Lombard Street: a Description of the Money Market. London: ed. King, Henry S. (simultaneously with Scribner, Armstrong and Co., New York).Google Scholar
Baillie, R. T., Bollerslev, T. and Mikkelsen, H. O. (1996). Fractionally integrated generalized autoregressive conditional heteroskedasticity, Journal of Econometrics, 74.CrossRefGoogle Scholar
Barabasi, A.-L. (2002). Linked: The New Science of Networks. Boston: Perseus.Google Scholar
Barberis, N., Huang, M. and Santos, T. (2001). Prospect theory and asset prices. Quarterly Journal of Economics, 116.CrossRefGoogle Scholar
Barens, I. (1989). From the ‘Banana Parable’ to the principle of effective demand: some reflections on the origin, development and structure of Keynes' General Theory. In Perspectives on the History of Economic Thought, Vol. 2, ed. Walker, D. A.. Aldershot, UK: Edward Elgar.Google Scholar
Barens, I. (1997). What went wrong with IS-LM/AS-AD analysis – and why?Eastern Economic Journal, 23(1).Google Scholar
Barnett, W. A., Geweke, J. and Shell, K. (1989). Economic Complexity: Chaos, Sunspots, Bubbles and Nonlinearity. New York: Cambridge University Press.Google Scholar
Barr, A. and Serneels, P. (2004). Wages and Reciprocity in the Workplace. Working Paper 2004–18, Oxford University Center for the Study of African Economies, Oxford, UK.Google Scholar
Barreteau, O. (2003). Our companion modelling approach. Journal of Artificial Societies and Social Simulation, 6(1). http://jasss.soc.surrey.ac.uk/6/2/1.html.Google Scholar
Barro, R. and Grossman, H. I. (1971). A general disequilibrium model of income and employment. American Economic Review, 61(1).Google Scholar
Barro, R. and Grossman, H. I. (1976). Money, Employment and Inflation. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Barro, R. and McCleary, R. (2003). Religion and economic growth across countries. American Sociological Review, 68(5).CrossRefGoogle Scholar
Basmann, R. L. (1962). Letter to the editor. Econometrica, 30.Google Scholar
Basmann, R. L. (1974). Exact Finite Sample distributions for some econometric estimators and test statistics: a survey and appraisal. In Intriligator and Kendrick (1974).
Basmann, R. L. and Hwang, H.-S. (1990). A Monte Carlo study of structural estimator distributions after performance of likelihood ratio pre-tests. In Contributions to Econometric Theory and Application: Essays in Honour of A.L. Nagar. New York, NY: Springer-Verlag (1990).Google Scholar
Basmann, R. L., Battalio, R. C. and Kagel, J. H. (1976). An experimental test of a simple theory of aggregate per-capita demand functions. Schweitz Zeitschrift für Volkswirtschaft und Statistik. Heft2/1976.Google Scholar
Basmann, R. L., Molina, D. J. and Slottje, D. J. (1983). Budget constraint prices as preference changing parameters of generalized Fechner-Thurstone direct utility functions. American Economic Review, 73.Google Scholar
Basu, N. and Pryor, R. J. (1997). Growing a Market Economy. Sandia Report. Albuquerque, NM: Sandia National Laboratories.Google Scholar
Batten, D. F. (2000). Discovering Artificial Economics: How Agents Learn and Economies Evolve.Boulder, Colorado: Westview Press.Google Scholar
Baumol, W. (1951). Economic Dynamics. London: Macmillan.Google Scholar
Baxter, M. and King, R. (1991). Production Externalities and Business Cycles, Discussion Paper 53, Federal Reserve Bank of Minneapolis.Google Scholar
Belew, R. K. and Mitchell, M., eds. (1996). Adaptive Individuals in Evolving Populations: Models and Algorithms, Proceedings Volume XXVI, Santa Fe Institute Studies in the Sciences of Complexity, Reading, MA: Addison-Wesley.Google Scholar
Bell, A. M. (1997). Bilateral trading on a network: convergence and optimality results. Department of Economics Working Papers, Vanderbilt University, Nashville, TN.Google Scholar
Bénabou, R. (1996). Equity and efficiency in human capital investment: The local connection. Review of Economic Studies, 63(2).CrossRefGoogle Scholar
Benartzi, S. and Thaler, R. (1996). Myopic loss aversion and the equity premium puzzle. Quarterly Journal of Economics, 110.Google Scholar
Benhabib, J. and Farmer, R. (1994). Indeterminacy and increasing returns. Journal of Economic Theory, 63.CrossRefGoogle Scholar
Benhabib, J. and Farmer, R. E. A. (2000). The monetary transmission mechanism. Review of Economic Dynamics, 3(3).CrossRefGoogle Scholar
Benhabib, J. and Rustichini, A. (1994). Introduction: symposium on growth, fluctuations and sunspots: confronting the data. Journal of Economic Theory, 63.CrossRefGoogle Scholar
Benhabib, J., Schmitt-Grohé, S. and Uribe, M. (2001a). The perils of Taylor rules. Journal of Economic Theory, 96.CrossRefGoogle Scholar
Benhabib, J., Schmitt-Grohé, S. and Uribe, M. (2001b). Monetary policy and multiple equilibria. American Economic Review, 91.CrossRefGoogle Scholar
Bernanke, B. S. (2000). Japanese monetary policy: a case of self induced paralysis. In Japan's Financial Crisis and Its Parallels to U.S. Experience, eds. Mikitani, R. and Posen, A. S.. Washington, DC: Institute for International Economics.Google Scholar
Bernardo, J. and Smith, A. (1994). Bayesian Theory. New York: John Wiley.CrossRefGoogle Scholar
Berndt, E. R. (1990). The Practice of Econometrics: Classic and Contemporary. Reading, MA: Addison-Wesley.Google Scholar
Bernstein, P. L. (1992). Capital Ideas: the Improbable Origins of Modern Wall Street. New York: Free Press.Google Scholar
Bertrand, M., Luttmer, E. and Mullainathan, S. (2000). Network effects and welfare cultures. Quarterly Journal of Economics, 115(3).CrossRefGoogle Scholar
Bewley, T. (1999). Why Wages Don't Fall During a Recession. Cambridge, MA: Harvard University Press.Google Scholar
Beyer, A. and Farmer, R. E. A. (2002). Natural rate doubts. Working Paper Series, No. 121, European Central Bank.Google Scholar
Beyer, A. and Farmer, R. E. A. (2003a). Identifying the monetary transmission mechanism using structural breaks. European Central Bank Working Paper Series, No. 275.Google Scholar
Beyer, A. and Farmer, R. E. A. (2003b). On the indeterminacy of determinacy and indeterminacy. European Central Bank Working Paper Series, No. 277.Google Scholar
Beyer, A. and Farmer, R. E. A. (2004). On the indeterminacy of New-Keynesian Economics. European Central Bank Working Paper Series, No. 323.Google Scholar
Binmore, K. G., Gale, J. and Samuelson, L. (1995). Learning to be imperfect: the ultimatum game. Games and Economic Behavior, 8.Google Scholar
Bisin, A., Moro, A. and Topa, G. (2002). Mimeo. The Empirical Content of Models with Multiple Equilibria. New York University, New York.Google Scholar
Bisin, A., Horst, U. and Ozgur, O. (2004). Mimeo. Rational Expectations Equilibria of Economies with Local Interactions. New York University, New York.Google Scholar
Blanchard, O. (2000a). What do we know about macroeconomics that Fisher and Wicksell did not?Quarterly Journal of Economics, 115(4), November.CrossRefGoogle Scholar
Blanchard, O. (2000b). Discussions of the Monetary Response – Bubbles, Liquidity Traps and Monetary Policy, pp. 185–193.Google Scholar
Blanchard, O. and Fischer, S. (1989). Lectures on Macroeconomics. Cambridge, MA: MIT Press.Google Scholar
Blinder, A., et al. (1998). Asking About Prices: a New Approach to Understanding Price Stickiness. New York: Russell Sage.Google Scholar
Blount, S. (1995). When social outcomes aren't fair: the effect of causal attributions on preferences. Organization Behavior and Human Decision Processes, 63.CrossRefGoogle Scholar
Blume, L. (1993). The statistical mechanics of strategic interaction. Games and Economic Behavior, 5(3).CrossRefGoogle Scholar
Bodkin, R. G., Klein, L. R. and Marwah, K. (1991). A History of Macroeconomic Model-Building. Brookfield, VT: Edward Elgar Publishing Company.Google Scholar
Boivin, J. and Giannoni, M., Forthcoming. Has montetary policy become more effective? Review of Economics and Statistics.
Boozer, M. and Cacciola, S. (2001). Inside the black box of project star: estimation of peer effects using experimental data. Discussion Paper No. 832. Yale University Growth Center.Google Scholar
Bowles, S. and Gintis, , , H. (1993). The revenge of Homo economicus: contested exchange and the revival of political economy. Journal of Economic Perspectives, 7(1).CrossRefGoogle Scholar
Bowles, S. and Gintis, H. (1998). How communities govern: the structural basis of prosocial norms. In Economics, Values and Organizations, ed. Putterman, L. and Ben-Ner, A.. New York: Cambridge University Press.Google Scholar
Bowles, S. and Gintis, H. (2000a). Walrasian economics in retrospect. Quarterly Journal of Economics, 115(4).CrossRefGoogle Scholar
Branch, W. A. (2004). The theory of rationally heterogeneous expectations: evidence from survey data on inflation expectations. Economic Journal, 114.CrossRefGoogle Scholar
Branch, W. A. and Evans, G. W. (2004). Forthcoming. Intrinsic heterogeneity in expectation formation. Journal of Economic Theory.Google Scholar
Branch, W. A. and Evans, G. W. (2005). Mimeo. Model Uncertainty and Endogenous Volatility.Google Scholar
Branch, W. A. and McGough, B. (2005). Consistent expectations and misspecification in stochastic non-linear economies. Journal of Economic Dynamics and Control, 29.CrossRefGoogle Scholar
Brock, W. (1993). Pathways to randomness in the economy: emergent nonlinearity and chaos in economics and finance. Estudios Economico, 8(3).Google Scholar
Brock, W. (2004). Mimeo. Profiling Problems with Partially Identified Structure. Department of Economics, University of Wisconsin, Madison, WI.Google Scholar
Brock, W. and Durlauf, S. (2000). Interactions based models. NBER, Technical Working Paper No. 258.Google Scholar
Brock, W. and Durlauf, S. (2001a). Discrete choice with social interactions. Review of Economic Studies, 68(2).CrossRefGoogle Scholar
Brock, W. and Durlauf, S. (2001b). Interactions-based models. In Handbook of Econometrics, Vol. 5, eds. Heckman, J. and Leamer, E.. Amsterdam: North-Holland.Google Scholar
Brock, W. and Durlauf, S. (2001c). Growth empirics and reality. World Bank Economic Review, 15(2).Google Scholar
Brock, W. and Durlauf, S. (2004a). Elements of a theory of design: limits to optimal policy. The Manchester School, 72 (suppl. 2).CrossRefGoogle Scholar
Brock, W. and Durlauf, S. (2004b). Mimeo. Identification of Binary Choice Models with Social Interactions. University of Wisconsin, Madison, WI.Google Scholar
Brock, W. and Durlauf, S. (2004c). Mimeo. Local Robustness Analysis: Theory and Application. Department of Economics, University of Wisconsin, Madison, WI.Google Scholar
Brock, W. and Durlauf, S. (2004d). Forthcoming. A multinomial choice model with social interactions. In The Economy as an Evolving Complex System III, eds. Blume, L. and Durlauf, S.. New York: Oxford University Press.Google Scholar
Brock, W. and Hommes, C. (1997). A rational route to randomness. Econometrica, 65(5).CrossRefGoogle Scholar
Brock, W. and Hommes, C. (1998). Heterogeneous beliefs and routes to chaos in a simple asset pricing model. Journal of Economic Dynamics and Control, 22.CrossRefGoogle Scholar
Brock, W., Hsieh, D. and LeBaron, B. (1991). Nonlinear Dynamics, Chaos and Instability: Statistical Theory and Economic Evidence. Cambridge, MA: MIT Press.Google Scholar
Brock, W., Durlauf, S. and West, K. (2003). Policy evaluation in uncertain economic environments (with discussion). Brookings Papers on Economic Activity, 1.Google Scholar
Brock, W., Durlauf, S. and West, K. (2004). Mimeo. Model Uncertainty and Policy Evaluation: Some Theory and Empirics. Department of Economics, University of Wisconsin, Madison, WI.CrossRefGoogle Scholar
Brooks-Gunn, J., Duncan, G., Klebanov, P. and Sealand, N. (1993). Do neighborhoods affect child and adolescent development?American Journal of Sociology, 99(2).CrossRefGoogle Scholar
Bryant, R. (1983). A simple rational expectations Keynes-type model. Quarterly Journal of Economics, 97.Google Scholar
Bullard, J. and Duffy, J. (2001). Learning and excess volatility. Macroeconomics Dynamics, 5(2).Google Scholar
Bullard, J. B. and Eusepi, S. (2005). Did the great inflation occur despite policymaker commitment to a Taylor rule?Review of Economic Dynamics, 8(2).CrossRefGoogle Scholar
Burke, M., Fournier, G. and Prasad, K. (2004). Mimeo. Physician Social Networks and Geographical Variation in Medical Care. Florida State University, Tallahassee, FL.Google Scholar
Cagan, P. (1956). The monetary dynamics of hyperinflation. In Studies in the Quantity Theory of Money, ed. Friedman, M.. Chicago: University of Chicago Press.Google Scholar
Camerer, C. (2003). Behavioral Game Theory: Experiments in Strategic Interaction. Princeton, NJ: Princeton University Press.Google Scholar
Camerer, C. F. and Loewenstein, G. (2004). Behavioral economics: past, present and future. In Advances in Behavioral Economics, eds. Camerer, C. F., Loewenstein, G. and Rabin, M.. Princeton, NJ: Princeton University Press.Google Scholar
Campbell, J. Y. and Cochrane, J. H. (1999). By force of habit: {A} consumption-based explanation of aggregate stock market behavior. Journal of Political Economy, 107.CrossRefGoogle Scholar
Carlsson, H. and Damme, E. (1993). Global games and economic selection. Eca, 61.Google Scholar
Carpenter, J. (2002). The demand for punishment. Working Paper 02-43, Middlebury College, Middlebury, VT.Google Scholar
Carpenter, J. and Matthews, P. H. (2004). Social reciprocity. Middlebury College Working Paper 02-29R, Middlebury College, Middlebury, VT.Google Scholar
Carpenter, J. and Matthews, P. H. (2005). Norm enforcement: anger, indignation or reciprocity. Middlebury College Working Paper 05-03, Middlebury College, Middlebury, VT.Google Scholar
Carpenter, J. and Sakei, E. (2004). Do social preferences increase productivity? Field experimental evidence from fishermen in Toyoma Bay. Middlebury College Working Paper 051-15, Middlebury College, Middlebury, VT.Google Scholar
Carroll, C. D. (2002). Requiem for the representative agents? Aggregate implications of microeconomic consumption behavior. American Economic Review, 90.Google Scholar
Carroll, C. D. (2003). Macroeconomic expectations of households and professional forecasters. Quarterly Journal of Economics, 118.CrossRefGoogle Scholar
Carter, M. and Castillo, M. (2004). Mimeo. Identifying Social Effects with Economic Field Experiments. Georgia Tech University.Google Scholar
Carter, R. A. L., Dutta, J. and Ullah, A., eds. (1990). Contributions to Econometric Theory and Application: Essays in Honour of A. L. Nagar. New York, NY: Springer-Verlag.CrossRefGoogle Scholar
Cartwright, N. (1989). Nature's Capacities and Their Measurement. Oxford: Clarendon Press.Google Scholar
Cass, D. and Shell, K. (1983). Do sunspots matter. Journal of Political Economy, 91(2), 295–329.CrossRefGoogle Scholar
Cazavillan, G., Lloyd-Braga, T. and Pintus, P. (1998). Multiple steady-states and endogenous fluctuations with increasing returns to scale in production. Journal of Economic Theory, 80(1), 60–107.CrossRefGoogle Scholar
Chari, V. V. and Kehoe, P. (1999). Optimal fiscal and monetary policy. In Handbook for Macroeconomics, eds. Taylor, J. and Woodford, M.. Amsterdam: North-Holland.Google Scholar
Chari, V., Kehoe, P. and Prescott, E. (1989). Time consistency and policy. In Modern Business Cycle Theory, ed. Barro, R.. Cambridge: Harvard University Press.Google Scholar
Chatterjee, S. and Ravikumar, B. (1999). Minimum consumption requirements: theoretical and quantitative implications for growth and distribution. Macroeconomic Dynamics, 3(4).CrossRefGoogle Scholar
Chernoff, H. (1954). Rational selection of decision functions. Econometrica, 22(4).CrossRefGoogle Scholar
Christ, C. (1951). A test of an econometric model for the United States, 1921–1947. In NBER Conference on Business Cycles. National Bureau of Economic Research, New York, NY. Also reprinted in Cowles Commission Papers, New Series No. 49 (1952).Google Scholar
Christ, C. (1960). Simultaneous equation estimation: any verdict yet?Econometrica, 28(4).CrossRefGoogle Scholar
Clarida, R., Gali, J. and Gertler, M. (2000). Monetary policy rules and macroeconomic stability: evidence and some theory. Quarterly Journal of Economics, 115(1).CrossRefGoogle Scholar
Clark, G. (1987). Why isn't the whole world developed?Journal of Economic History, 47(1).CrossRefGoogle Scholar
Clark, A. (1997). Being There: Putting Brain, Body and World Together Again. Cambridge, MA: MIT Press.Google Scholar
Clark, G. and Werf, Y. (1998). Work in progress? The industrious revolution. Journal of Economic History, 58(3).CrossRefGoogle Scholar
Clements, M. P. and Hendry, D. F. (1999). Forecasting Non-stationary Economic Time Series. Cambridge, MA: MIT Press.Google Scholar
Clower, R. (1965). The Keynesian counter-revolution: a theoretical appraisal. In The Theory of Interest Rates, eds. Hahn, F. H. and Frank, P. R.. London: Macmillan.Google Scholar
Clower, R. and Howitt, P. (1996). Taking markets seriously: groundwork for a post Walrasian macroeconomics. In Beyond Microfoundations: Post Walrasian Macroeconomics, ed. Colander, D.. Cambridge, MA: Cambridge University Press.CrossRefGoogle Scholar
Cochrane, J. H. (1998). What do the VARs mean? Measuring the output effects of monetary policy. Journal of Monetary Economics, 41.CrossRefGoogle Scholar
Cochrane, J. H. and Hansen, L. P. (1992). Asset pricing explorations for macroeconomists. NBER Macroeconomics Annual 1992, 7.Google Scholar
Coddington, A. (1976). Keynesian economics: The search for first principles. Journal of Economic Literature, 14(4) December.Google Scholar
Cogley, T. and Sargent, T. (2004). Mimeo. The Conquest of U.S. Inflation: Learning and Robustness to Model Uncertainty. University of California at Davis.Google Scholar
Colander, D. (1984). Was Keynes a Lernerian?Journal of Economic Literature, 22.Google Scholar
Colander, D. (1992). The new, the neo and the new neo: A review of new Keynesian economics, eds. Mankiw, N. G. and Romer, D.. Methodus, 3.Google Scholar
Colander, D. (1994). The macrofoundations of microeconomics. Eastern Economic Journal, 21.Google Scholar
Colander, D. (1995). The stories we tell: a reconsideration of AS/AD analysis. Journal of Economic Perspectives, 9(3), SummerCrossRefGoogle Scholar
Colander, D., ed. (1996). Beyond Microfoundations: post Walrasian Macroeconomics. Cambridge, MA: Cambridge University Press.CrossRefGoogle Scholar
Colander, D. (1998). Beyond new Keynesian economics: Post Walrasian economics. In New Keynesian Economics Post Keynesian Alternatives, ed. Rotheim, R.. Cheltenham, UK: Edward Elgar.Google Scholar
Colander, D. (2000). The death of neoclassical economics. Journal of the History of Economic Thought, 22.CrossRefGoogle Scholar
Colander, D. (2003a). Post-Walrasian macro policy and the economics of muddling through. International Journal of Political Economy, 33(2). Also in New Developments in Macroeconomic Policy, ed. Setterfield, M.. Armonk: Sharpe Publishing.Google Scholar
Colander, D. (2003b). Thinking outside the heterodox box: post Walrasian macroeconomics and heterodoxy. International Journal of Political Economy, 33(2). Also in New Developments in Macroeconomic Policy, ed. Setterfield, M.. Armonk: Sharpe Publishing.Google Scholar
Colander, D. (2004). The strange persistence of the IS-LM model. History of Political Economy, 36.Google Scholar
Colander, D. (2005). The Making of an Economist Redax. Journal of Economic Perspectives, 19(1).Google Scholar
Colander, D. and Guthrie, R. (1980). Great expectations: what the dickens is rational expectations?Journal of Post Keynesian Economics, 3(2), Winter.CrossRefGoogle Scholar
Colander, D. and Landreth, H. (1996). The Coming of Keynesianism to America. Cheltenham, England: Edward Elgar.Google Scholar
Colander, D. and van Ess, H. (1996). Post Walrasian macroeconomic policy. In Beyond Micro Foundations: Post Walrasian Macroeconomics, ed. Colander, D.. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Colander, D., Holt, R. and Rosser, J. B. (2003). The Changing Face of Mainstream Economics. Middlebury College Working Paper 03-27. Middlebury College, Middlebury, VT.Google Scholar
Cole, H. and Ohanian, L. (2004). New deal policies and the persistence of the great depression. Journal of Political Economy, 112(4).CrossRefGoogle Scholar
Conley, T. and Topa, G. (2002). Socio-economic distance and spatial patterns in unemployment. Journal of Applied Econometrics, 17(4).CrossRefGoogle Scholar
Constantinides, G. M. (2002). Rational asset prices. Journal of Finance, 57.CrossRefGoogle Scholar
Constantinedes, G. M. and Duffie, D. (1996). Asset pricing with heterogeneous consumers. Journal of Political Economy, 104.Google Scholar
Cook, C. and Tesfatsion, L. (2006). Agent-based computational laboratories for the experimental study of complex economic systems. Working Paper, Department of Economics, Iowa State University, Ames, IA, in progress.Google Scholar
Cooley, T. F. and LeRoy, S. F. (1985). A theoretical macroeconomics: a critique. Journal of Monetary Economics, 16.CrossRefGoogle Scholar
Cooper, R. (1999). Coordination Games. New York: Cambridge University Press.CrossRefGoogle Scholar
Cooper, R. (2002). Estimation and identification of structural parameters in the presence of multiple equilibria. Les Annales d'Economie et de Statistique, 66.Google Scholar
Cooper, R. and Corbae, D. (2001). Financial collapse and active monetary policy: a lesson from the Great Depression. Federal Reserve Bank of Minneapolis: Staff report 289 (forthcoming, Journal of Economic Theory).Google Scholar
Cooper, R. and Ejarque, J. (1995). Financial intermediation and the Great Depression: a multiple equilibrium interpretation. Carnegie-Rochester Series on Public Policy, 43.CrossRefGoogle Scholar
Cooper, R. and John, A. (1988). Coordinating coordination failures in Keynesian models. Quarterly Journal of Economics, 103.CrossRefGoogle Scholar
Cooper, R. and John, A. (1997). Dynamic complementarities: a quantitative analysis. Journal of Monetary Economics, 40.CrossRefGoogle Scholar
Dagsvik, J. and Jovanovic, B. (1994). Was the Great Depression a low-level equilibrium?European Economic Review, 38(9).CrossRefGoogle Scholar
Darby, M. (1976). Macroeconomics. New York: McGraw-Hill.Google Scholar
Darley, V. (1994). Emergent phenomena and complexity. In Artificial Life IV, eds. Brooks, R. A. and Maes, P.. Cambridge, MA: MIT Press.Google Scholar
Darley, V., Outkin, A., Plate, T. and Gao, F. (2001). Learning, Evolution and Tick Size Effects in a Simulation of the NASDAQ Stock Market. Proceedings of the 5th World Multi-Conference on Systemics, Cybernetics and Informatics (SCI 2001). Orlando, FL: International Institute for Informatics and Systematics.Google Scholar
Davidson, P. (1978). Money and the Real World. 2nd edn. London: Macmillan.CrossRefGoogle Scholar
Davidson, P. (1994). Post Keynesian Macroeconomic Theory. Aldershot: Edward Elgar.Google Scholar
Davidson, P. (1996). Did Keynes reverse the Marshallian speeds of adjustment? Using Harcourt's method to resolve theoretical controversies and gain insight into the real world. In Capital Controversy, Post Keynesian Economics and the History of Economic Thought, eds. Arestis, P., Palma, G. and Sawyer, M.. London: Routledge.Google Scholar
Davis, J. B. (2005). Complexity theory's network conception of the individual. Marquette University Working Paper, Marquette University, Milwaukee, WI.Google Scholar
Day, R. H. and Chen, P., eds. (1993). Nonlinear Dynamics and Evolutionary Economics. Oxford, UK: Oxford University Press..Google Scholar
Vries, J. (1994). The industrial revolution and the industrious revolution. Journal of Economic History, 54(2).CrossRefGoogle Scholar
Del Negro, M. and Schorfheide, F. Forthcoming. Priors from general equilibrium models for VARs. International Economic Review.
Demiralp, S. and Hoover, K. D. (2004). Searching for the causal structure of a vector autoregression. Oxford Bulletin of Economics and Statistics, 65.Google Scholar
Dennis, J., Johansen, S. and Juselius, K. (2005). CATS for RATS: Manual to Cointegration Analysis of Time Series. Illinois: Estima.Google Scholar
Derrida, B. (1994). From random walks to spin glasses. Physica D, 107.Google Scholar
Diamond, P. (1982). Aggregate demand management in search equilibrium. Journal of Political Economy, 90.CrossRefGoogle Scholar
Diebold, F. (1998). The past, present and future of macroeconomic forecasting. Journal of Economic Perspectives, 12, Spring.CrossRefGoogle Scholar
Dierker, E. and Grodal, B. (1986). Non existence of Cournot-Walras equilibrium in a general equilibrium model with two oligopolists. In Contributions to Mathematical Economics, in Honor of Gerard Debreu, eds. Hildenbrand, W. and Mas-Colell, A.. Amsterdam: North-Holland.Google Scholar
Ding, Z., Granger, C. and Engle, R. F. (1993). A long memory property of stock market returns and a new model. Journal of Empirical Finance, 1.CrossRefGoogle Scholar
Doppelhofer, G., Miller, R. and Sala-i-Martin, X. (2000). Determinants of long-term growth: a Bayesian averaging of classical estimates (BACE) approach. Working Paper 7750, National Bureau of Economic Research, Cambridge, MA.Google Scholar
Draper, D. (1995). Assessment and propagation of model uncertainty. Journal of the Royal Statistical Society (series B), 57.Google Scholar
Duesenberry, J. (1948). Income-consumption relations and their implications. In Income, Employment and Public Policy, ed. Metzler, L.. New York: Norton Publishers.Google Scholar
Duffy, J. and Fisher, E. O'N. (2004). Sunspots in the laboratory. SSRN Working Paper.Google Scholar
Dufwenberg, M. and Kirchsteiger, G. (2004). Forthcoming. A theory of sequential reciprocity. Games and Economic Behavior.Google Scholar
Dupor, W. (1999). Aggregation and irrelevance in multi-sector models. Journal of Monetary Economics, 43.CrossRefGoogle Scholar
Durlauf, S. (1993). Nonergodic economic growth. Review of Economic Studies, 60(2).CrossRefGoogle Scholar
Durlauf, S. (1996). A theory of persistent income inequality. Journal of Economic Growth, 1(1).CrossRefGoogle Scholar
Durlauf, S. (2001). A framework for the study of individual behavior and social interactions. Sociological Methodology, 31.Google Scholar
Durlauf, S. (2004). Neighborhood effects. In Handbook of Regional and Urban Economics, Vol. 4, eds. Henderson, J. V. and Thisse, J.-F.. Amsterdam: North-Holland.Google Scholar
Durlauf, S. N. and Young, H. P., eds. (2001). Social Dynamics. Cambridge, MA: MIT Press.Google Scholar
Durlauf, S., Johnson, P. and Temple, J. (2004). Growth econometrics. In Handbook of Economic Growth, eds. Aghion, P. and Durlauf, S.. Amsterdam: North-Holland.Google Scholar
Dyson, F. (2004). The world on a string. New York Review of Books, 51(8), May.Google Scholar
Eckel, B. (2003). Thinking in Java, 3rd edn. NJ: Prentice Hall.Google Scholar
Ekeland, I., Heckman, J. and Nesheim, L. (2002). Identifying hedonic models. American Economic Review, 92(2).CrossRefGoogle Scholar
Ekeland, I., Heckman, J. and Nesheim, L. (2004). Identification and estimation of Hedonic models. Journal of Political Economy, 112(suppl. 1).CrossRefGoogle Scholar
Elster, J. (1998). Emotions and economic theory. Journal of Economic Literature, 36.Google Scholar
Engle, R. F., Hendry, D. F. and Richard, J. F. (1983). Exogeneity. Econometrica, 55(2).Google Scholar
Epstein, J. M. (2006). Remarks on the foundations of agent-based generative social science. In Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics Handbooks in Economic Series, Amsterdam: North-Holland.Google Scholar
Epstein, J. M. and Axtell, R. (1996). Growing Artificial Societies: Social Science from the Bottom Up. Washington, DC/Cambridge, MA: Brookings Institution Press/MIT Press.Google Scholar
Epstein, L. and Wang, T. (1994). Intertemporal asset pricing behavior under Knightian uncertainty. Econometrica, 62.CrossRefGoogle Scholar
Ericsson, N. and Irons, J. (1995). The Lucas critique in practice: theory without measurement. In Macroeconometrics: Developments, Tensions and Prospects, ed. Hoover, K. D.. Boston: Kluwer.CrossRefGoogle Scholar
Estrella, A. and Fuhrer, J. C. (1999). Are ‘deep’ parameters stable? The Lucas critique as an empirical hypothesis. Working Paper no. 99-4. Federal Reserve Bank of Boston.Google Scholar
Evans, G. W. and Honkapohja, S. (2001). Learning and Expectations in Macroeconomics. Princeton, NJ: Princeton University Press.CrossRefGoogle Scholar
Evans, G. W. and Ramey, G. (2003). Adaptive expectations, underparameterization and the Lucas critique. Journal of Monetary Economics, 53.Google Scholar
Evans, G. W., Oates, W. and Schwab, R. (1992). Measuring peer group effects: a study of teenage behavior. Journal of Political Economy, 100(5).CrossRefGoogle Scholar
Evans, G. W., Honkapohja, S. and Sargent, T. J. (1993). On the preservation of deterministic cycles when some agents perceive them to be random fluctuations. Journal of Economic Dynamics and Control, 17.CrossRefGoogle Scholar
Ewens, W. J. (1990). Population genetics theory—the past and future. In Mathematical and Statistical Problems in Evolution, ed. Lessard, S.. Boston: Kluwer Academic Publishing.Google Scholar
Fagiolo, G., Dosi, G. and Gabriele, R. (2004). Towards an Evolutionary Interpretation of Aggregate Labor Market Regularities, Sant'Anna School of Advanced Studies Working Paper. Sant' Anna School of Advanced Studies.Google Scholar
Faith, J. (1998). Why gliders don't exist: anti-reductionism and emergence. In Artificial Life VI, eds. Adami, C., Belew, R. K., Kitano, H. and Taylor, C. E.. Cambridge, MA: MIT Press.Google Scholar
Falk, A. and Fehr, E. (2003). Why labor market experiments?Journal of Labour Economics, 1(10).Google Scholar
Fang, H. and Loury, G. (2004). Mimeo. Toward an Economic Theory of Cultural Identity. Yale University.Google Scholar
Farmer, R. and Guo, J.-T. (1994). Real business cycles and the animal spirits hypothesis. Journal of Economic Theory, 63(2).CrossRefGoogle Scholar
Fazzari, S. M. (1985). Keynes, Harrod and the rational expectations revolution. Journal of Post Keynesian Economics, 8, Fall.CrossRefGoogle Scholar
Fehr, E. and Gächter, S. (2000). Cooperation and punishment in public goods experiments. American Economic Review, 90.CrossRefGoogle Scholar
Fehr, E. and Gächter, S. (2004). Third party punishment. Evolution and Human Behavior, 25.CrossRefGoogle Scholar
Fehr, E. and Tyran, J.-R. (2001). Does money illusion matter?American Economic Review, 91.CrossRefGoogle Scholar
Fehr, E., Kirchsteiger, G. and Riedl, A. (1996). Involuntary unemployment and non-compensating wage differentials in an experimental labor market. Economic Journal, 106.CrossRefGoogle Scholar
Fehr, E., Gächter, S. and Kirchsteiger, G. (1996). Reciprocal fairness and noncompensating wage differentials. Journal of Institutional and Theoretical Economics, 142.Google Scholar
Fehr, E., Fischbacher, U. and Kosfeld, M. (2005). Neuroeconomic foundations of trust and social preferences. IZA Working Paper No. 1641.Google Scholar
Feigelman, M. V. and Ioffe, L. B. (1991). Hierarchical organization of memory. In Models of Neural Networks, eds. Domany, E., Hemmen, J. L. and Lessard, S.. Berlin and New York: Springer-Verlag.CrossRefGoogle Scholar
Feiwel, R. G. (1985). Quo vadis macroeconomics? Issues, tensions and challenges. In Issues in Contemporary Macroeconomics and Distribution, ed. Feiwel, G. R.. State University of New York, Albany, pp. 1–100.CrossRefGoogle Scholar
Felipe, J. and Fisher, F. M. (2003). Aggregation in production functions: what applied economists should know. Metroeconomica, 54.CrossRefGoogle Scholar
Fernandez, C., Ley, E. and Steel, M. (2001a). Benchmark priors for Bayesian model averaging. Journal of Econometrics, 100(2).CrossRefGoogle Scholar
Fernandez, C., Ley, E. and Steel, M. (2001b). Model uncertainty in cross-country growth regressions. Journal of Applied Econometrics, 16(5).CrossRefGoogle Scholar
Feynman, R. (1995). Six Easy Pieces: Essentials of Physics Explained by its most Brilliant Teacher. Reading, MA: Addison-Wesley.Google Scholar
Finch, J. H. and McMaster, R. (2004). On the paths of classical political economy and Walrasian economics through post Walrasian economics. University of Aberdeen Economics Working Paper. University of Aberdeen, Aberdeen, Scotland.Google Scholar
Fisher, M. F. (1983). Disequilibrium Foundations of Equilibrium Economics, Econometric Society Monographs No. 6. Cambridge, UK: Cambridge University Press.CrossRefGoogle Scholar
Fisher, I. (1906). The Nature of Capital and Income. New York: Macmillan.Google Scholar
Fisher, I. (1907). The Rate of Interest, Its Nature, Determination and Relation to Economic Phenomena. New York: Macmillan.Google Scholar
Fisher, I. (1930). The Theory of Interest as Determined by Impatience to Spend and Opportunity to Invest. New York: Macmillan.Google Scholar
Flake, G. W. (1998). The Computational Beauty of Nature: Computer Explorations of Fractals, Chaos, Complex Systems and Adaptation. Cambridge, MA: MIT Press.Google Scholar
Föllmer, H., Horst, U. and Kirman, A. (2005). Equilibria in financial markets with heterogeneous agents: a new perspective. Journal of Mathematical Economics, 41, 123–55.CrossRefGoogle Scholar
Föllmer, H. (1974). Random economies with many interacting agents. Journal of Mathematical Economics, 1(1), 51–62, MarchCrossRefGoogle Scholar
Frank, R. (1987). If Homo economicus could choose his own utility function, would he want one with a conscience?American Economic Review, 77.Google Scholar
Franklin, S. (1997a). Autonomous agents as embodied AI. Cybernetics and Systems, 28.CrossRefGoogle Scholar
Franklin, S. (1997b). Artificial Minds. Cambridge, MA: MIT Press.Google Scholar
Frederick, S., Loewenstein, G. and O'Donoghue, T. (2002). Intertemporal choice: a critical review. Journal of Economic Literature, 40.Google Scholar
Friedman, M. (1948). A monetary and fiscal framework for economic stability. American Economic Review, 384.Google Scholar
Friedman, M. (1949). The Marshallian demand curve. Journal of Political Economy, 57.CrossRefGoogle Scholar
Friedman, M. (1953a). The case for flexible exchange rates. In Essays in Positive Economics. Chicago, IL: University of Chicago Press.Google Scholar
Friedman, M. (1953b). The methodology of positive economics. In Essays in Positive Economics. Chicago, IL: Chicago University Press.Google Scholar
Friedman, M. (1955). Leon Walras and his economic system: a review article. American Economic Review, 45.Google Scholar
Friedman, M. (1968). The role of monetary policy. American Economic Review, 58, March, 1–17.Google Scholar
Friedman, M. (1970a). The counterrevolution in monetary theory, Occasional Paper No 33, Institute of Economic Affairs.Google Scholar
Friedman, M. (1970b). A theoretical framework for monetary analysis. Journal of Political Economy, 78, March/April.CrossRefGoogle Scholar
Friedman, M. (1971). A monetary theory of nominal income. Journal of Political Economy, 79, March/April.CrossRefGoogle Scholar
Friedman, M. (1972). Comments on the critics. Journal of Political Economy, 80(5), September, OctoberCrossRefGoogle Scholar
Friedman, M. and Meiselman, D. (1963). The relative stability of monetary velocity and the investment multiplier in the United States, 1897–1958. In Stabilization Policies, Commission on Money and Credit. New York: Prentice Hall.Google Scholar
Friedman, M. and Schwartz, A. (1963). Money and business cycles. Review of Economics and Statistics. (suppl.), February.Google Scholar
Frisch, R. (1933). Editor's note. Econometrica, 1.Google Scholar
Frisch, R. (1954). Linear expenditure functions: an expository article. Econometrica, 22.CrossRefGoogle Scholar
Frydman, R. and Phelps, E. S., eds. (1983). Individual Forecasting and Aggregate Outcomes: Rational Expectations Examined. New York: Cambridge University Press.Google Scholar
Fudenberg, D. and Levine, D. K. (1998). The Theory of Learning in Games. Cambridge, MA: MIT Press.Google Scholar
Fuhrer, J. C. (1997). The (un)importance of forward-looking behavior in price specifications. Journal of Money, Credit and Banking, 29, August.CrossRefGoogle Scholar
Fuhrer, J. C. and Rudebusch, G. D. (2003). Estimating the Euler equation for output. Journal of Monetary Economics, 51 (publication date 2004).Google Scholar
Gabaix, X. (2004). Mimeo. The Granular Origins of Aggregate Fluctuations. MIT, Cambridge, MA.Google Scholar
Gali, J. and Gertler, M. (1999). Inflation dynamics: a structural econometric analysis. Journal of Monetary Economics, 44(2).CrossRefGoogle Scholar
Gallant, A. R., Rossi, P. E. and Tauchen, G. (1992). Stock prices and volume. The Review of Financial Studies, 5.CrossRefGoogle Scholar
Gallant, A. R., Rossi, P. E. and Tauchen, G. (1993). Nonlinear dynamic structures. Econometrica, 61.CrossRefGoogle Scholar
Gartaganis, A. J. (1954). Autoregression in the United States economy 1870–1929. Econometrica, 22.CrossRefGoogle Scholar
Geanakoplos, J., Pearce, D. and Stacchettti, E. (1989). Psychological games and sequential rationality. Games and Economic Behavior, 1.CrossRefGoogle Scholar
Geanakoplos, J. (1996). The Hangman's Paradox and Newcomb's Paradox as psychological games. Cowles Foundation Discussion Paper No. 1128.Google Scholar
Giannoni, M. (2001). Mimeo. Robust Optimal Monetary Policy in a Forward-Looking Model with Parameter and Shock Uncertainty. Federal Reserve Bank of New York.Google Scholar
Giannoni, M. (2002). Does model uncertainty justify caution? Robust optimal monetary policy in a forward-looking model. Macroeconomic Dynamics, 6.CrossRefGoogle Scholar
Gibrat, R. (1931). Les Inegalieies Economiques; Applications: Aux Inegalities des Richesses, a la Concentartion des Entreprises, Aux Populations des Villes, Aux Statistiques des Families, etc., d'une Loi Nouvelle, La Loi de l'Effet Proportionnel. Paris: Librarie du Recueil Sirey.Google Scholar
Gigerenzer, G. and Selten, R., eds. (2001). Bounded Rationality: The Adaptive Toolbox. Cambridge, MA: MIT Press.Google Scholar
Gilboa, I. and Schmeidler, D. (1989). Maximin expected utility with non-unique priors. Journal of Mathematical Economics, 18.CrossRefGoogle Scholar
Gillespie, R. P. (1951). Integration, London: Oliver and Boyd.Google Scholar
Gintis, H. (2000). Game Theory Evolving. Princeton, NJ: Princeton University Press.Google Scholar
Girshick, M. A. and Haavelmo, T. (1947). Statistical analysis of the demand for food: examples of simultaneous estimation of structural equations. Econometrica, 15, 79–110. Reprinted in Studies in Econometric Method, Chapter V, eds. Hood, W. C. and Koopmans, T. C.. New York, NY: John Wiley & Sons (1953).Google Scholar
Glaeser, E., Sacerdote, B. and Scheinkman, J. (1996). Crime and social interactions. Quarterly Journal of Economics, 111(2).CrossRefGoogle Scholar
Glimcher, P. W. (2003). Decisions, Uncertainty and the Brain: The Science of Neuroeconomics. Cambridge, MA: MIT Press.Google Scholar
Gode, D. K. and Sunder, S. (1993). Allocative efficiency of markets with zero intelligence traders. Journal of Political Economy, 101.CrossRefGoogle Scholar
Gode, D. K. and Sunder, S. (2004). Double auction dynamics: structural effects of non-binding price controls. Journal of Economic Dynamics and Control, 28.CrossRefGoogle Scholar
Goeree, J. and Holt, C. (2001). Ten little treasures of game theory and ten intuitive contradictions. American Economic Review, 91.CrossRefGoogle Scholar
Goldberger, A. S. (1964). Econometric Theory. New York, NY: John Wiley & Sons.Google Scholar
Goodhart, C. A. E. (1984). Monetary Theory and Practice: the U.K. Experience. London: Macmillan.CrossRefGoogle Scholar
Graham, B. (2005). Mimeo. Identifying Social Interactions through Excess Variance Contrasts. Cambridge, MA: Harvard University.Google Scholar
Graham, B. and Hahn, J. (2004). Mimeo. Identification and Estimation of Linear-in-Means Model of Social Interactions. Department of Economics, Harvard University.Google Scholar
Grandmont, J.-M. (1985). On endogenous competitive business cycles. Econometrica, 53.CrossRefGoogle Scholar
Grandmont, J.-M., Pintus, P. and DeVilder, R. (1998). Capital labor substitution and nonlinear endogenous business cycles. Journal of Economic Theory, 80.CrossRefGoogle Scholar
Green, E. (2005). A review of interest and prices: a foundation of monetary theory by Michael Woodford. Journal of Economic Literature, 43(1) March.CrossRefGoogle Scholar
Greenspan, A. (2004). Risk and uncertainty in monetary policy. BIS Review, 1.Google Scholar
Guo, J. T. and Harrison, S. (2004). Balanced-budget rules and macroeconomic (in)stability. Journal of Economic Theory, http://faculty.ucr.edu/guojt/CrossRefGoogle Scholar
Guzik, V. (2004). Contextual Framing Effects in a Common Pool Resource Experiment. Middlebury College Senior Honors Thesis. Middlebury College, Middlebury, VT.Google Scholar
Haavelmo, T. (1943). Statistical implications of a system of simultaneous equations. Econometrica, 11.CrossRefGoogle Scholar
Haavelmo, T. (1944). The Probability Approach in Econometrics. Econometrica, 12.Google Scholar
Haavelmo, T. (1947). Methods of measuring the marginal propensity to consume. Journal of the American Statistical Association, 42.CrossRefGoogle Scholar
Haken, H. (1987). Synergetics: An Approach to Self Organization. In Self-organzing systems: The emergence of order, ed. Yates., F. E.Berlin: Plenum Press.CrossRefGoogle Scholar
Hansen, L. and Jagannathan, R. (1991). Implications of security market data for models of dynamic economies. Journal of Political Economy, 99.CrossRefGoogle Scholar
Hansen, L. and Sargent, T. (1980). Formulating and estimating dynamic linear rational expectations models. Journal of Economic Dynamics and Control, 2.CrossRefGoogle Scholar
Hansen, L. and Sargent, T. (2001). Acknowledging misspecification in macroeconomic theory. Review of Economic Dynamics, 4.CrossRefGoogle Scholar
Hanse, L. and Sargent, T. (2003a). Forthcoming. Robust Control and Economic model Uncertainty. Princeton, NJ: Princeton University Press. Also book manuscript, Hoover Institution, Stanford University, Stanford, CA.Google Scholar
Hansen, L. and Sargent, T. (2003b) Robust control of forward looking models. Journal of Monetary Economics, 50, April.CrossRef
Hansen, L. and Singleton, K. (1982). Generalized instrumental variables estimation of nonlinear rational expectations models. Econometrica, 50.CrossRefGoogle Scholar
Harrod, R. F. (1939). An essay in dynamic theory. Economic Journal, 49, March.CrossRefGoogle Scholar
Hart, O. (1995). Firms, Contracts and Financial Structure. Oxford: Oxford University Press.CrossRefGoogle Scholar
Hartley, J. E., Hoover, K. D. and Salyer, K. D., eds. (1998). Real Business Cycles: A Reader. London: Routledge.Google Scholar
Hayek, F. A., (1937). Economics and knowledge. Economica, 4, new series.Google Scholar
Hayek, F. A., (1945). The use of knowledge in society. American Economic Review, 35(4).Google Scholar
Hayek, F. A., (1964). Kinds of order in society. New Individualist Review, 3(2).Google Scholar
Heckman, J. (1979). Sample selection bias as a specification error. Econometrica, 47(1).CrossRefGoogle Scholar
Hendry, D. F. (1995). Dynamic Econometrics. Oxford: Oxford University Press.CrossRefGoogle Scholar
Hendry, D. F. and Ericsson, N. R. (1991). An econometric analysis of UK money demand. In Monetary Trends in the United States and the United Kingdom, eds. Friedman, M. and Schwartz, A. J.. American Economic Review, 81, 8–38.Google Scholar
Hendry, D. F. and Krolzig, H. M. (1999). Improving on ‘Data mining reconsidered’ by K. D. Hoover and S. J. Perez. Econometrics Journal, 2.CrossRefGoogle Scholar
Hendry, D. F. and Krolzig, H. M. (2001). Automatic Econometric Model Selection Using PcGets 1.0. London: Timberlake Consultants.Google Scholar
Henrich, J., Boyd, R., Bowles, S., Camerer, C., Fehr, E., Gintis, H. and McElreath, R. (2001). Cooperation, reciprocity and punishment in fifteen small-scale societies. American Economic Review, 91.Google Scholar
Hey, J. D. and di Cagno, D. (1998). Sequential markets: An experimental investigation of Clower's dual-decision hypothesis. Experimental Economics, 1.CrossRefGoogle Scholar
Hicks, J. (1936). Mr. Keynes's theory of employment. Economic Journal, 46, June.CrossRefGoogle Scholar
Hicks, J. (1937). Mr. Keynes and the classics: a suggested interpretation. Econometrica, 5.CrossRefGoogle Scholar
Hicks, J. (1939). Value and Capital. Oxford: Oxford University Press.Google Scholar
Hicks, J. (1965). Capital and Growth. Oxford: Oxford University Press.Google Scholar
Hicks, J. (1980). IS-LM: an explanation. Journal of Post Keynesian Economics, 3(2).CrossRefGoogle Scholar
Hicks, J. (1983). IS-LM: an explanation. In Modern Macroeconomic Theory, ed. Fitoussi, J.-P.. Oxford: Basil Blackwell.Google Scholar
Hicks, J. (1989). A Market Theory of Money. Oxford: Clarendon Press.CrossRefGoogle Scholar
Hirshleifer, J. (1958). On the theory of optimal investment decisions. Journal of Political Economy, 66(4), August.CrossRefGoogle Scholar
Hirshleifer, J. (1970). Investment, Interest and Capital. New York: Prentice-Hall.Google Scholar
Holland, J. H. (1995). Hidden Order: How Adaptation Builds Complexity. Reading, MA: Addison-Wesley.Google Scholar
Hommes, C. H. and Sorger, G. (1998). Consistent expectations equilibria. Macroeconomic Dynamics, 2.Google Scholar
Hommes, C. H., Sorger, G. and Wagener, F. (2003). Mimeo. Learning to Believe in Linearity in an Unknown Nonlinear Stochastic Economy.Google Scholar
Hood, W. C. and Koopmans, T. C., eds. (1953). Studies in Econometric Method. Cowles Commission Monograph 14. New York: Wiley.Google Scholar
Hoover, K. D. (1988). The New Classical Macroeconomics: A Skeptical Inquiry. Cambridge, MA: Basil Blackwell.Google Scholar
Hoover, K. D. (1995). Facts and artifacts: calibration and the empirical assessment of real-business-cycle models. Oxford Economic Papers, 47.CrossRefGoogle Scholar
Hoover, K. D. (2001). Causality in Macroeconomics. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Hoover, K. D. (2004). Lost causes. Journal of the History of Economic Thought, 26.CrossRefGoogle Scholar
Hoover, K. D. (2005). Forthcoming. Automatic Inference of the Contemporaneous Causal Order of a System of Equation. Econometric Theory, 21(1).CrossRefGoogle Scholar
Hoover, K. D. and Jorda, O. (2001). Measuring Systematic Monetary Policy. Federal Reserve Bank of St. Louis Review, 83.Google Scholar
Hoover, K. D. and Perez, S. J. (1999). Data mining reconsidered: encompassing and the general-to-specific approach to specification search. Econometrics Journal, 2.CrossRefGoogle Scholar
Hoover, K. D. and Perez, S. J. (2004). Truth and robustness in cross-country growth regressions. Oxford Bulletin of Economics and Statistics, 66(5).CrossRefGoogle Scholar
Horst, U. and Scheinkman, J. (2004). Mimeo. Equilibria in Systems of Social Interactions. Princeton University, Princeton, NJ.Google Scholar
Horvath, M. (1998). Cyclicality and sectoral linkages: aggregate fluctuations from independent sectoral shocks. Review of Economic Dynamics, 1.CrossRefGoogle Scholar
Horvath, M. (2000). Sectoral shocks and aggregate fluctuations. Journal of Monetary Economics, 45.CrossRefGoogle Scholar
Houthakker, H. S. (1960). Additive preferences. Econometrica, 28.CrossRefGoogle Scholar
Howitt, P. (1990). The Keynesian Recovery and Other Essays. Ann Arbor, MI: The University of Michigan Press.CrossRefGoogle Scholar
Howitt, P. (1992). Interest rate control and nonconvergence to rational expectations. Journal of Political Economy, 100, August.CrossRefGoogle Scholar
Howitt, P. (1996). Cash-in-advance: microfoundations in retreat. In Inflation, Institutions, and Information, eds. Vaz, D.. and Velupillai, K.. London: Macmillan.CrossRefGoogle Scholar
Hurwicz, L. (1951). Some specification problems and applications to econometric models. Econometrica, 19.Google Scholar
Ichimura, S. (1951). A critical note on the definition of related goods. Review of Economic Studies, 18.Google Scholar
Ingber, L. (1982). Statistical mechanics of neocortical interactions. Physica A, 5.Google Scholar
Ingram, B. F. (1995). Recent advances in solving and estimating dynamic macroeconomic models. In Macroeconometrics: Developments, Tensions and Prospect, ed. Hoover, K. D.. Boston: Kluwer.CrossRefGoogle Scholar
Ingram, B. and Whiteman, C. (1994). Supplanting the ‘Minnesota’ prior: forecasting macroeconomic time series using real business cycle priors. Journal of Monetary Economics, 34(3), December.CrossRefGoogle Scholar
Intriligator, M. D. and Kendrick, D. A. (1974). Frontiers of Quantitative Economics, Vol II, Amsterdam, NETH: North-Holland Publishing Company.Google Scholar
Ioannides, Y. (1990). Trading uncertainty and market form. International Economic Review, 31(3).CrossRefGoogle Scholar
Ioannides, Y. and Zabel, J. (2003a). Neighborhood effects and housing demand. Journal of Applied Econometrics, 18.CrossRefGoogle Scholar
Ioannides, Y. and Zabel, J. (2003b). Mimeo. Interactions, Neighborhood Selection and Housing Demand. Department of Economics, Tufts University, Medford, MA.Google Scholar
Ireland, P. (2001a). Technology shocks and the business cycle: an empirical investigation. Journal of Economic Dynamics and Control, 25.CrossRefGoogle Scholar
Ireland, P. (2001b). Money's role in the monetary business cycle. Journal of Money, Credit and Banking, 36(6).Google Scholar
Ireland, P. (2004). A method for taking models to the data. Journal of Economic Dynamics and Control, 28.CrossRefGoogle Scholar
Irwin, E. and Bockstaed, N. (2002). Interacting agents, spatial externalities and the evolution of residential land use patterns. Journal of Economic Geography, 2.CrossRefGoogle Scholar
Janssen, M. A. and Ostrom, E. (2006). Governing social-ecological systems. In Hand Book of Computational Economics, Vol. 2: Agent-Based Computational Economics Handbooks in Economic Series. Amsterdam: North-Holland.Google Scholar
Jennings, N. R. (2000). On agent-based software engineering. Artificial Intelligence, 17.Google Scholar
Johansen, S. (1996). Likelihood Based Inference in Cointegrated VAR Models. Oxford: Oxford University Press.Google Scholar
Johansen, S. (2005). The interpretation of cointegrating coefficients in the cointegrated VAR model, Oxford Bulletin of Economics and Statistics, 67, 93–104.CrossRefGoogle Scholar
Johnson, A. (2001). Emergence: The Connected Lives of Ants, Brains, Cities and Software. New York: Scribner.Google Scholar
Jonson, P. (1996). On the economics of Say and Keynes' interpretation of Say's Law. Eastern Economic Journal, 21, Spring.Google Scholar
Jordan, J. S. (1982). The competitive allocation process is informationally efficient uniquely. Journal of Economic Theory, 28.CrossRefGoogle Scholar
Jovanovic, B. (1987). Micro shocks and aggregate risk. Quarterly Journal of Economics, 102.CrossRefGoogle Scholar
Judd, K. (1997). Computational economics and economic theory: substitutes or complements?Journal of Economic Dynamics and Control, 21(6).CrossRefGoogle Scholar
Judd, K. (1998). Numerical Methods in Economics. Cambridge, MA: MIT Press.Google Scholar
Judd, K. (2006). Computationally intensive analyses in economics. In Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics Handbooks in Economic Series. Amsterdam: North-Holland.Google Scholar
Juselius, K. (1999). Models and relations in economics and econometrics. Journal of Economic Methodology, 6.CrossRefGoogle Scholar
Juselius, K. (2005). The Cointegrated VAR Model: Methodology and Applications, Oxford University Press.Google Scholar
Kahneman, D. and Tversky, A. (1979). Prospect theory: an analysis of decisions under risk. Econometrica, 47.CrossRefGoogle Scholar
Kahneman, D., Knetsch, J. L. and Thaler, R. H. (1990). Experimental tests of the endowment effect and the Coase theorem. Journal of Political Economy, 86.Google Scholar
Kalai, E. and Lerner, E. (1993). Rational learning leads to Nash equilibrium. Econometrica, 61(5).CrossRefGoogle Scholar
Kamihigashi, T. (1996). Real business cycles and sunspot fluctuations are observationally equivalent, Journal of Monetary Economics, 37.CrossRefGoogle Scholar
Kapetanios, G., Pagan, A. and Scott, A. (2005). Making a match: combining theory and evidence in policy oriented macro economic modeling. Australian National University Working Paper CAMA.
Katzner, D. (1989). The Walrasian Vision of the Microeconomy: an Elementary Exposition of the Structure of Modern General Equilibrium Theory. Ann Arbor, MI: University of Michigan Press.Google Scholar
Kelly, M. (1997). The dynamics of Smithian growth. Quarterly Journal of Economics, 112(3).CrossRefGoogle Scholar
Keynes, J. M. (1921). A Treatise on Probability. London: Macmillan.Google Scholar
Keynes, J. M. (1926). The End of Laissez Faire. London: Hogarth.Google Scholar
Keynes, J. M. (1930). A Treatise on Money. 2 Vols. (Vol. 1: The Pure Theory of Money; Vol. 2: The Applied Theory of Money). London: Macmillan and Co. Limited.Google Scholar
Keynes, J. M. (1936). The General Theory of Employment, Interest and Money. New York: Harcourt, Brace (Reprinted in 1965).Google Scholar
Keynes, J. M. (1939). Professor Tinbergen's method. Economic Journal, 49.Google Scholar
King, M. (1997). Changes in UK monetary policy: rules and discretion in practice. Journal of Monetary Economics, 39, June.CrossRefGoogle Scholar
Kingman, J. F. C. (1978). The representation of partition structure. Journal of London Mathematics Society, 18.Google Scholar
Kingman, J. F. C. and Schalten, K., eds. (1978). Random partitions in population genetics. Proceedings of the Royal Society, Series A. London.Google Scholar
Kirman, A. P. (1983a). Mistaken beliefs and resultant equilibria. In Individual Forecasting and Collective Outcomes, eds. Frydman, R. and Phelps, E.. Cambridge University Press.Google Scholar
Kirman, A. P. (1983b). Communication in markets: a suggested approach. Economic Letters, 12(2).CrossRefGoogle Scholar
Kirman, A. P. (1991). Epidemics of opinion and speculative bubbles in financial markets. In Money and Financial Markets, Chapter 17, ed. Taylor, M.. London: Macmillan.Google Scholar
Kirman, A. P. (1992). Whom or what does the representative agent represent?Journal of Economic Perspectives, 6(2).CrossRefGoogle Scholar
Kirman, A. P. (1993). Ants, rationality and recruitment. Quarterly Journal of Economics, 108.CrossRefGoogle Scholar
Kirman, A. P. (1997). The economy as an interactive system. In The Economy as an Evolving Complex System II, eds. Arthur, W. B., Durlauf, S. N. and Lane, D. A.. Proceedings Volume XXVII, Santa Fe Institute Studies in the Sciences of Complexity. Reading, MA: Addison-Wesley.Google Scholar
Kirman, A. P. and Teyssiere, G. (1998). Microeconomic Models for Long-Memory in the Volatility of Financial Time Series, Technical report, EHESS, Universite d'Aix-Marseille III, Marseille, France.Google Scholar
Klein, L. R. (1950). Economic Fluctuations in the United States, 1921–1941. Cowles Commission Monograph 11. New York, NY: John Wiley & Sons.Google Scholar
Klein, L. R. (1960). Single equation vs equation system methods of estimation in econometrics. Econometrica, 28(4).Google Scholar
Klein, L. R. and Rubin, H. (1947). A constant-utility cost of living index. Review of Economic Studies, 15.CrossRefGoogle Scholar
Klemperer, P. (2002a). What really matters in auction design. Journal of Economic Perspectives, 16.CrossRefGoogle Scholar
Klemperer, P. (2002b). Using and abusing economic theory. Alfred Marshall Lecture to the European Economic Association, December. http://www.paulklemperer.org/Google Scholar
Knack, S. and Keefer, P. (1997). Does social capital have an economic payoff? A cross-country investigation. Quarterly Journal of Economics, 112(4).CrossRefGoogle Scholar
Kocherlakota, N. (1996). The equity premium: it's still a puzzle. Journal of Economic Literature, 34.Google Scholar
Koesrindartoto, D. and Tesfatsion, L. (2004). Testing the economic reliability of FERC's wholesale power market platform: an agent-based computational economics approach. In Energy, Environment and Economics in a New Era, Proceedings of the 24th USAEE/IAEE North American Conference, Washington DC, July.Google Scholar
Koopmans, T. C. (1949). Identification problems in economic model construction. Econometrica, 17. Reprinted in Hood and Koopmans (1953).CrossRefGoogle Scholar
Koopmans, T. C., ed. (1950). Statistical Inference in Dynamic Economic Models. Cowles Commission Monograph 10. New York: Wiley.Google Scholar
Koopmans, T. C. and Hood, W. C. (1953). The estimation of simultaneous linear relationships. Studies in Econometric Method. Cowles Commission Monograph 14. New York: Wiley.Google Scholar
Koopmans, T. C. and Reiersøl, O. (1950). The identification of structural characteristics. Annals of Mathematical Statistics, 21.CrossRefGoogle Scholar
Krauth, B. (2003). Mimeo. Peer Effects and Selection Effects on Youth Smoking in California. Simon Fraser University, Burnaby, BC, Canada.Google Scholar
Krauth, B. (2004). Mimeo. Simulation-Based Estimation of Peer Effects. Simon Fraser University, Burnaby, BC, Canada.Google Scholar
Krugman, P. (1996). The Self-Organizing Economy. Cambridge, UK: Blackwell Publishers.Google Scholar
Krugman, P. (1998). It's back: Japan's slump and the return of the liquidity trap. Brookings Papers on Economic Activity, (2).CrossRefGoogle Scholar
Krusell, P. and Smith, A. (1998). Income and wealth heterogeneity in the macroeconomy. Journal of Political Economy, 106(5).CrossRefGoogle Scholar
Kuhn, T. (1962). The Structure of Scientific Revolutions. Chicago: University of Chicago Press.Google Scholar
Kurz, M. (1997). Endogenous Economic Fluctuations: Studies in the Theory of Rational Beliefs. New York: Springer-Verlag.Google Scholar
Kwakernaak, H. and Sivan, R. (1972). Linear Optimal Control Systems. New York: John Wiley and Sons.Google Scholar
Kydland, F. E. and Prescott, E. C. (1977). Rules rather than discretion: the inconsistency of optimal plans. Journal of Political Economy, 85, June.CrossRefGoogle Scholar
Kydland, F. E. and Prescott, E. C. (1982). Time to build and aggregate fluctuations. Econometrica, 50.CrossRefGoogle Scholar
Laidler, D. E. W. (1999). Fabricating the Keynesian revolution: studies of the inter-war literature on money, the cycle and unemployment. Historical Perspectives on Modern Economics. New York and Cambridge: Cambridge University Press.Google Scholar
Laidler, D. E. W. and Robson, W. B. P. (2004). Two Percent Target: Canadian Monetary Policy Since 1991. Toronto, Canada: C. D. Howe Institute.Google Scholar
Landes, D. (1998). The Wealth and Poverty of Nations. New York: W. W. Norton.Google Scholar
Lange, O. (1940). Complementarity and interrelations of shifts in demand. Review of Economic Studies, 8.CrossRefGoogle Scholar
Leamer, E. (1978). Specification Searches. New York: John Wiley and Sons.Google Scholar
Leamer, E. E. (1985). Vector autoregressions for causal inference. In Understanding Monetary Regime, eds. Brunner, K. and Meltzer, A. H.. Carnegie-Rochester Conference Series on Public Policy, Vol. 22, Spring. Amsterdam: North-Holland.Google Scholar
LeBaron, B. (2001a). A builder's guide to agent-based financial markets. Quantitative Finance, 1.CrossRefGoogle Scholar
LeBaron, B. (2001b). Evolution and time horizons in an agent-based stock market. Macroeconomic Dynamics, 5.CrossRefGoogle Scholar
LeBaron, B. (2001c). Empirical regularities from interacting long and short memory investors in an agent based stock market. IEEE Transactions on Evolutionary Computation, 5.CrossRefGoogle Scholar
LeBaron, B. (2001d). Stochastic volatility as a simple generator of apparent financial power laws and long memory. Quantitative Finance, 1.
LeBaron, B. (2002a). Calibrating an Agent-Based Financial Market, Technical report. Waltham, MA: Brandeis University.Google Scholar
LeBaron, B. (2002b). Short-memory traders and their impact on group learning in financial markets. Proceedings of the National Academy of Science: Colloquium, 99(suppl. 3).CrossRefGoogle Scholar
Ledyard, J. O. (1995). Public goods: a survey of experimental research. In The Handbook of Experimental Economics, eds. Kagel, J. H. and Roth, A.. Princeton, NJ: Princeton University Press.Google Scholar
Leeper, E. M. (1991). Equilibria under ‘active’ and ‘passive’ monetary and fiscal policies. Journal of Monetary Economics, 27(1).CrossRefGoogle Scholar
Leijonhufud, A. (1967). Keynes and the Keynesians: a suggested interpretation. American Economic Review, 57(2).Google Scholar
Leijonhufvud, A. (1968). On Keynesian Economics and the Economics of Keynes: a Study in Monetary Theory. New York: Oxford University Press.Google Scholar
Leijonhufvud, A. (1981a). The Wicksell Connection. In Information and Coordination: Essays in Macroeconomic Theory, ed. Leijonhufvud, A.. Oxford: Oxford University Press.Google Scholar
Leijonhufvud, A. (1981b). Information and Coordination: Essays in Macroeconomic Theory. New York: Oxford University Press.Google Scholar
Leijonhufvud, A. (1993). Towards a not-too-rational macroeconomics. Southern Economic Journal, 59. (Reprinted in Leijonhufvud, A., Beyond Microfoundations: Post Walrasian Macroeconomics, ed. D. Colander. Cambridge, MA: Cambridge University Press, pp. 39–55.)Google Scholar
Leijonhufvud, A. (1996). Towards a not-too-rational macroeconomics. In Beyond Microfoundations: Post Walrasian Macroeconomics, ed. Colander, D.. Cambridge, MA: Cambridge University Press, pp. 39–55.CrossRefGoogle Scholar
Leijonhufvud, A. (1997). The Wicksellian heritage. Economic Notes, 26(1).Google Scholar
Leijonhufvud, A. (1999). Mr. Keynes and the moderns. In The Impact of Keynes on Economics in the 20th Century, eds. Pasinetti, L. and Schefold, B.. Cheltenham, UK: Edward Elgar. (Previously published in The European Journal of the History of Economic Thought, 5(1), Spring (1998).)Google Scholar
Leijonhufvud, A. (2004a). The long swings in economic understanding. In Macroeconomic Theory and Economic Policy: Essays in Honor of Jean-Paul Fitoussi, ed. Velupillai, K.. London: Routledge.Google Scholar
Leijonhufvud, A. (2004b). The metamorphosis of neoclassical economics. In Evolution of the Market Process: Austrian and Swedish Economics, eds. Bellet, M., Gloria-Palermo, S. and Zouache, A.. London: Routledge.Google Scholar
Leland, W. E., Taqqu, M. S., Willinger., W. and Wilson, D. V. (1994). On the self-similar nature of Ethernet traffic. IEEE/ACM Transactions on Networking, 2.CrossRefGoogle Scholar
Leombruni, R. and Richiardi, M., eds. (2004). Industry and Labor Dynamics: the Agent-Based Computational Economics Approach, Proceedings of the WILD@ACE 2003 Conference. Singapore: World Scientific Press.CrossRefGoogle Scholar
Lerner, A. (1940). Some Swedish Stepping Stones. Canadian Journal of Economics, 6.Google Scholar
Levin, A. and Williams, J. (2003). Robust monetary policy with competing reference models. Journal of Monetary Economics, 50.CrossRefGoogle Scholar
Levy, M., Levy, H. and Solomon, S. (2000). Microscopic Simulation of Financial Markets. New York, NY: Academic Press.Google Scholar
Liesenfeld, R. (2001). A generalized bivariate mixture model for stock price volatility and trading volume. Journal of Econometrics, 104.CrossRefGoogle Scholar
Lindbeck, A., Nyberg, S. and Weibull, J. (1999). Social norms and economic incentives in the welfare state. Quarterly Journal of Economics, 114.CrossRefGoogle Scholar
Liu, T.-C. (1960). Underidentification, structural estimation and forecasting. Econometrica, 28.CrossRefGoogle Scholar
Ljungqvist, L. and Sargent, T. J. (2000). Recursive Macroeconomic Theory. Cambridge, MA: MIT Press.Google Scholar
Logato, I. and Velasco, C. (2000). Long memory in stock-market trading volume. Journal of Business and Economic Statistics, 18.Google Scholar
Long, J. and Plosser, C. (1983). Real business cycles. Journal of Political Economy, 91.CrossRefGoogle Scholar
Loury, G. (1977). A dynamic theory of racial income differences. In Women, Minorities and Employment Discrimination, eds. Wallace, P. and Lamond, A.. Lexington, MA: Lexington Books.Google Scholar
Lubik, T. A. and Schorfheide, F. (2003).Testing for indeterminacy: an application to U.S. monetary policy. American Economic Review, 94(1).Google Scholar
Lucas, R. E. Jr. (1972). Expectations and the neutrality of money. Journal of Economic Theory, 4, April.CrossRefGoogle Scholar
Lucas, R. E., Jr. (1976). Econometric policy evaluation: a critique. In The Phillips Curve and Labor Markets, eds. Brunner, K. and Meltzer, A. H.. Carnegie-Rochester Conference Series on Public Policy, Vol. 5(11), Spring. Amsterdam: North-Holland.Google Scholar
Lucas, R. E., Jr. (1977). Understanding business cycles. In Studies in Business Cycle Theory, ed. Lucas, R. E. Jr. ed. Oxford: Blackwell.Google Scholar
Lucas, R. E. Jr. (1980). Methods and problems in business cycle theory, Journal of Money, Credit and Banking, 12, November.CrossRefGoogle Scholar
Lucas, R. E. Jr. (1987). Models of Business Cycles. Oxford: Blackwell.Google Scholar
Lucas, R. E., Jr, and Sargent, T. J. (1981). Introduction. In Rational Expectations and Econometric Practice, Vol. 1, eds. Lucas, R. E. Jr. and Sargent, T. J.. Minneapolis, MN: University of Minnesota Press.Google Scholar
Lux, T. (1998). The socioeconomic dynamics of speculative markets: interacting agents, chaos and the fat tails of return distributions. Journal of Economic Behavior and Organization, 33.CrossRefGoogle Scholar
Lux, T. and Marchesi, M. (1999). Scaling and criticality in a stochastic multi-agent model of a financial market. Nature, 397.CrossRefGoogle Scholar
Malinvaud, E. (1977). The Theory of Unemployment Reconsidered. Oxford: Basil Blackwell.Google Scholar
Mankiw, G. (1985). Small menu costs and large business cycles: a macroeconomic model of monopoly. Quarterly Journal of Economics, 100.CrossRefGoogle Scholar
Mankiw, G. (1986). The equity premium and the concentration of aggregate shocks. Journal of Financial Economics, 17.CrossRefGoogle Scholar
Mankiw, G. (1991). The Reincarnation of Keynesian Economics. Paper presented at the September 1991 meeting of The European Economic Association in Cambridge, UK.CrossRefGoogle Scholar
Mankiw, G. and Romer, D. (1990). New Keynesian Economics. Cambridge, MA: MIT Press.Google Scholar
Manski, C. (1993). Identification of endogenous social effects: the reflection problem. Review of Economic Studies, 60(3).CrossRefGoogle Scholar
Manski, C. (2000). Economic analysis of social interactions. Journal of Economic Perspectives, 14(3).CrossRefGoogle Scholar
Manski, C. (2003). Partial Identification of Probability Distributions. New York: Springer-Verlag.Google Scholar
Manski, C. (2004). Statistical treatment rules for heterogeneous population. Econometrica, 72(4).CrossRefGoogle Scholar
Manski, C. and McFadden, D. (1981). Structural Analysis of Discrete Data with Econometric Applications. Cambridge, MA: MIT Press.Google Scholar
Mantegna, R. N. and Stanley, H. E. (1999). An Introduction to Econophysics: Correlations and Complexity in Finance. Cambridge, UK: Cambridge University Press.CrossRefGoogle Scholar
Marcellino, M. and Salmon, M. (2002). Robust decision theory and the Lucas critique. Macroeconomic Dynamics, 6(1).CrossRefGoogle Scholar
Marcet, A. and Sargent, T. J. (1989). Convergence of least-squares learning in environments with hidden state variables and private information. Journal of Political Economy, 97.CrossRefGoogle Scholar
Marschak, J. (1950). Statistical inference in economics, an introduction. In Statistical Inference in Dynamic Economic Models, ed. Koopmans, T. C.. New York: John Wiley and Sons.Google Scholar
Marschak, J. (1953). Economic measurements for policy and predictions. In Studies in Econometric Method, eds. Hood, W. C. and Koopmans, T. C.. Cowles Foundations Monograph no. 14. New York: Wiley.Google Scholar
Marshall, A. (1890). Principles of Economics, 8th edn. (1920). London: Macmillan.Google Scholar
Marshall, A. 1885 (1925). The present position of economics. In Memorials of Alfred Marshall, ed. Pigou, A. C.. London: Macmillan.Google Scholar
Mas-Colell, A. (1982). The Cournot foundations of Walrasian equilibrium theory: an exposition of recent theory. In Advances in Economic Theory, ed. Hildenbrand, W.. Cambridge University Press, Cambridge.Google Scholar
Mavroeidis, S. (2004). Weak identification of forward-looking models in monetary economics. Oxford Bulletin of Economics and Statistics, 66, September.CrossRefGoogle Scholar
McMillan, J. (2002). Reinventing the Bazaar: A Natural History of Markets. New York, NY: W.W. Norton & Co.Google Scholar
Mehra, R. and Prescott, E. C. (1988). The equity risk premium: a solution?Journal of Monetary Economics, 22.CrossRefGoogle Scholar
Mehrling, P. (1997). The Money Interest and the Public Interest: American Monetary Thought, 1920–1970. Cambridge, MA: Harvard University Press.Google Scholar
Mehrling, P. (1999). The vision of Hyman P. Minsky. Journal of Economic Behavior and Organization, 39(2), JuneCrossRefGoogle Scholar
Mehrling, P. (2001). Love and death: the wealth of Irving Fisher. In Research in the History of Economic Thought and Methodology, eds. Samuels, W. J. and Biddle, J. E.. Amsterdam: Elsevier Science.Google Scholar
Mehrling, P. (2005). Fischer Black and the Revolutionary Idea of Finance. Hoboken, NJ: John Wiley and Sons.Google Scholar
Mehrling, P. (2006). Forthcoming. Mr. Woodford and the challenge of finance. Journal of the History of Economic Thought.Google Scholar
Meltzer, A. (1988). Keynes's Monetary Theory: A Different Interpretation. Cambridge: Cambridge University Press.Google Scholar
Meyer, C. and Davis, S. (2003). It's Alive: The Coming Convergence of Information, Biology and Business. Crown Business.Google Scholar
Minsky, H. (1975). John Maynard Keynes. New York: Columbia University Press.CrossRefGoogle Scholar
Mirowski, P. (2004). Markets come to bits: evolution, computation and the future of economic science. Working Paper, Department of Economics and Policy Studies, University of Notre Dame, South Bend, IN.Google Scholar
Mises, L. (1966). Human Action. 3rd edn. Chicago: Regnery.Google Scholar
Mizon, G. E. (1995). Progressive modelling of economic time series: the LSE methodology. In Macroeconometrics: Developments, Tensions and Prospects, ed. Hoover, K. D.. Boston: Kluwer.CrossRefGoogle Scholar
Modigliani, F. (1944). Liquidity preference and the theory of interest and money. Econometrica, 12, January.CrossRefGoogle Scholar
Modigliani, F. (1963). The monetary mechanism and its interaction with real phenomena. Review of Economics and Statistics, 38(1), FebruaryGoogle Scholar
Montgomery, J. (1990). Mimeo. Social Networks and Persistent Inequality in the Labor Market. Department of Economics, Northwestern University, Evanston, IL.Google Scholar
Morgan, M. S. (1990). The History of Econometric Ideas. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Mullainathan, S. and Thaler, R. H. (2000). Behavioral Economics, Technical Report 7948, National Bureau of Economic Research.CrossRefGoogle Scholar
Muth, J. F. (1961). Rational expectations and the theory of price movements. Econometrica, 29.CrossRefGoogle Scholar
Nagel, K. and Paczusik, M. (1995). Emergent traffic jams. Physical Review E, 5.Google Scholar
Nakajima, R. (2003). Mimeo. Measuring Peer Effects in Youth Smoking Behavior. University of Osaka, Osaka, Japan.Google Scholar
Negishi, T. (1961). Monopolistic competition and general equilibrium. Review of Economic Studies, 29, 196–201.CrossRefGoogle Scholar
Negishi, T. (1962). The stability of a competitive economy: a survey article. Econometrica, 30, 635–91.CrossRefGoogle Scholar
Nelson, R. (1995). Recent evolutionary theorizing about economic change. Journal of Economic Literature, 33.Google Scholar
Nelson, R. and Winter, S. (1982). An Evolutionary Theory of Economic Change. Cambridge, MA: Harvard University Press.Google Scholar
Nesheim, L. (2002). Equilibrium sorting of heterogeneous consumers across locations: theory and implications. Working Paper No. CWP08/02, Centre for Microdata Methods and Practice.Google Scholar
Newman, M. E. J., Watts, D. J. and Strogatz, S. H. (2002). Random graph models of social networks. Proc Natl Acad Sci USA, 99 (suppl. 1).CrossRefGoogle ScholarPubMed
Novshek, W. and Sonnenschein, H. (1978). Cournot and Walras equilibrium. Journal of Economic Theory, 19.CrossRefGoogle Scholar
Okun, A. M. (1983). Economics for Policymaking: Selected Essays of Arthur M. Okun, ed. Pechman, J. A.. Cambridge, MA: MIT Press.Google Scholar
Onatski, A. and Stock, J. (2002). Robust monetary policy under model uncertainty in a small model of the U.S. economy. Macroeconomic Dynamics, 6.CrossRefGoogle Scholar
Onatski, A. and Williams, N. (2003). Modeling model uncertainty. Journal of the European Economic Association, 1.CrossRefGoogle Scholar
Oomes, N. (2003). Local network trades and spatially persistent unemployment. Journal of Economic Dynamics and Control, 27, 11–12.CrossRefGoogle Scholar
Orcutt, G. H. and Irwin, J. O. (1948). A study of the autoregressive nature of the time series used for Tinbergen's model of the economic system of the United States, 1919–1932. Journal of the Royal Statistical Society, Series B, 10.Google Scholar
Orphanides, A. and Williams, J. C. (2003a). Imperfect knowledge, inflation expectations and monetary policy. In Inflation Targeting, eds. Bernanke, B. S. and Woodford, M.. Chicago: University of Chicago Press.Google Scholar
Orphanides, A. and Williams, J. C. (2003b). Unpublished. The Decline of Activist Stabilization Policy: Natural Rate Misperceptions, Learning and Expectations.Google Scholar
Patinkin, D. (1948). Price flexibility and full employment. American Economic Review, 38, September.Google Scholar
Patinkin, D. (1956). Money, Interest and Prices: An Integration of Monetary and Value Theory. New York: Harper and Row.Google Scholar
Pearl, J. (2000). Causality: Models, Reasoning and Inference. Cambridge: Cambridge University Press.Google Scholar
Peirce, C. S. (1934–58). Collected Papers of Charles Sanders Peirce, Vol. 5, eds. Hartshorne, C. and Weiss, P.. Cambridge, MA: Belknap Press.Google Scholar
Penrose, R. (1989). The Emperor's New Mind. Oxford University Press, Oxford, UK.Google Scholar
Phelps, E. S. (1967). Phillips curves, expectations of unemployment and optimal unemployment over time. Economica, 34, August.CrossRefGoogle Scholar
Phelps, E. S. (1968). Money wage dynamics and labor market equilibrium. Journal of Political Economy76 (4 Part 2) August. (Reprinted in somewhat revised form in (1970) Microeconomic Foundations of Employment and Inflation Theory, eds. Phelps, E. S., et al. New York: Norton.)Google Scholar
Phelps, E. S., ed. (1971). Microeconomic Foundations of Employment and Inflation Theory. New York: Norton.Google Scholar
Phillips, A. W. (1958). The relation between unemployment and the rate of change of money wage rates in the United Kingdom, 1861–1957. Economica, 25.Google Scholar
Pingle, M. and Tesfatsion, L. (1991). Overlapping generations, intermediation and the First Welfare Theorem. Journal of Economic Behavior and Organization, 15.CrossRefGoogle Scholar
Pingle, M. and Tesfatsion, L. (1998a). Active intermediation in overlapping generations economies with production and unsecured debt. Macroeconomic Dynamics, 2.Google Scholar
Pingle, M. and Tesfatsion, L. (1998b). Active intermediation in a monetary overlapping generations economy. Journal of Economic Dynamics and Control, 22.CrossRefGoogle Scholar
Pitman, J. (2002). Lecture Notes. Combinatorial Stochastic Processes. St. Flour Summer Institute, St. Flour, France.Google Scholar
Prescott, E. C. (1986). Theory ahead of business cycle measurement. Federal Reserve Bank of Minneapolis Quarterly Review, 10.Google Scholar
Prescott, E. C. (1996). The computational experiment: an econometric tool. Journal of Economic Perspectives, 10(1).Google Scholar
Rabin, M. (1993). Incorporating fairness into game theory and economics. American Economic Review, 83.Google Scholar
Raftery, A., Madigan, D. and Hoeting, J. (1997). Bayesian model averaging for linear regression models. Journal of the American Statistical Association, 92.CrossRefGoogle Scholar
Ramal, R. and Toulouse, G. (1986). Ultrametricity for physicists. Rev. Mod. Phys., 58.Google Scholar
Riddell, C. and Smith, P. (1982). Expected inflation and wage changes in Canada. Canadian Journal of Economics, 15, August.CrossRefGoogle Scholar
Rivkin, S. (2001). Tiebout sorting, aggregation and the estimation of peer group effects. Economics of Education Review, 20.CrossRefGoogle Scholar
Robertson, D. (1915). A Study of Industrial Fluctuation. London: PS King.Google Scholar
Robertson, D. (1926). Banking Policy and the Price Level. London: Macmillan.Google Scholar
Robertson, J. and Tallman, E. (1999). Vector autoregressions: forecasting and reality. Federal Reserve Bank of Atlanta. Economic Review, 84, First Quarter.Google Scholar
Rogoff, K. (2002). Stop deflation first for the revival of the Japanese economy. Nikkei Newspaper, October 7.Google Scholar
Romer, D. (1996). Advanced Macroeconomics. New York: McGraw Hill.Google Scholar
Rosenberg, N. (1982). How exogenous is science? In Inside the Black Box: Technology and Economics, ed. Rosenberg, N.. New York: Cambridge University Press.Google Scholar
Roth, A. E. (2002). The economist as engineer: game theory, experimentation and computation as tools for design economics. Econometrica, 70.CrossRefGoogle Scholar
Rubenstein, M. (2001). Rational markets: Yes or no? The affirmative case. Financial Analyst Journal, 17.Google Scholar
Rubinstein, A. (1998). Modeling Bounded Rationality. Cambridge, MA: MIT Press.Google Scholar
Rubinstein, A. and Wolinsky, A. (1990). Decentralized trading, strategic behavior and the Walrasian outcome. Review of Economic Studies, 57.CrossRefGoogle Scholar
Rudd, J. B. and Whelan, K. (2003). Unpublished. Can Rational Expectations Sticky-Price Models Explain Inflation Dynamics?Google Scholar
Saari, D. and Simon, C. P. (1978). Effective price mechanisms. Econometrica, 46.CrossRefGoogle Scholar
Sacerdote, B. (2001). Peer effects with random assignment: results for Dartmouth roomates. Quarterly Journal of Economics, 116.CrossRefGoogle Scholar
Samuelson, L. (2005). Foundations of human sociality: a review essay. Journal of Economic Literature.CrossRefGoogle Scholar
Samuelson, P. (1947). Foundations of Economic Analysis. Cambridge: Harvard University Press.Google Scholar
Samuelson, P. (1948). Economics. New York: McGraw Hill.Google Scholar
Sargent, T. (1971). A note on the accelerationist controversy. Journal of Money, Credit and Banking, 3.CrossRefGoogle Scholar
Sargent, T. (1976). A classical macroeconomic model for the United States. Journal of Political Economy, 84(2).CrossRefGoogle Scholar
Sargent, T. (1993). Bounded rationality in macroeconomics, The Arne Ryde Memorial Lectures.Oxford, UK: Clarendon Press.Google Scholar
Sargent, T. (1999a). The Conquest of American Inflation. Princeton, NJ: Princeton University Press.Google Scholar
Sargent, T. (1999b). Comment. In Monetary Policy Rules, ed. Taylor, J.. Chicago: University of Chicago Press.CrossRefGoogle Scholar
Sargent, T. and Wallace, N. (1975). Rational expectations, the optimal monetary instrument and the optimal money supply rule. Journal of Political Economy, 83, April.CrossRefGoogle Scholar
Sargent, T. and Wallace, N. (1976). Rational expectations and the theory of economic policy. Journal of Monetary Economics, 84, 3.Google Scholar
Say, J. B. (1821). Letters to Malthus on Political Economy and Stagnation of Commerce. Source: Rod Hay's Archive for the History of Economic Thought, McMaster University, CanadaGoogle Scholar
Schelling, T. C. (1978). Micromotives and Macrobehavior. New York: W.W. Norton & Company.Google Scholar
Schmitt-Grohé, S. and Uribe, M. (1997). Balanced-budget rules, distortionary taxes and aggregate instability. Journal of Political Economy, 105.CrossRefGoogle Scholar
Schmitt-Grohé, S. and Uribe, M. (2005). Optimal fiscal and monetary policy in a medium-scale macroeconomic model. NBER Macroeconomics Annual2005.Google Scholar
Schorfheide, F. (2000). Loss function evaluations of DSGE models. Journal of Applied Economics, 15.Google Scholar
Scitovsky, T. (1945). Consequences of the habit of judging quality by price. Review of Economic Studies, 13.Google Scholar
Sen, A., ed. (1960). Introduction. In Growth Economics. Harmondsworth, UK: Penguin, pp. 9–40.Google Scholar
Shackle, G. L. S. (1974). Keynesian Kaleidics. Edinburgh: Edinburgh University Press.Google Scholar
Shafir, E., Diamond, P. and Tversky, A. (1998). Money illusion. Quarterly Journal of Economics, 112.Google Scholar
Shapiro, C. and Stiglitz, J. (1984). Equilibrium unemployment as a worker discipline device. American Economic Review, 74.Google Scholar
Shiller, R. (1981). Do stock prices move too much to be justified by subsequent changes in dividends?American Economic Review, 71.Google Scholar
Shiller, R. (2000). Irrational Exuberance. Princeton, NJ: Princeton University Press.Google Scholar
Shiller, R. (2003). From efficient market theory to behavioral finance. Journal of Economic Perspectives, 17.CrossRefGoogle Scholar
Shubik, M. (1991). A Game-Theoretic Approach to Political Economy, Fourth Printing. Cambridge, MA: MIT Press.Google Scholar
Simon, H. A. (1953) Causal ordering and identifiability. In Models of Man. New York: Wiley.Google Scholar
Simon, H. A. (1982). The Sciences of the Artificial, 2nd edn. Cambridge, MA: MIT Press.Google Scholar
Simon, H. A. (1996). The Sciences of the Artificial. Cambridge, MA: MIT Press.Google Scholar
Simon, H. A. (1997). Models of Bounded Rationality. Cambridge, MA: MIT Press.Google Scholar
Simon, H. A. and Bonini, C. (1958). The size distribution of business firms. American Economic Review, 48(4).Google Scholar
Sims, C. A. (1980). Macroeconomics and reality. Econometrica, 48.CrossRefGoogle Scholar
Sims, C. A. (1982). Policy analysis with econometric models. Brookings Papers on Economic Activity.Google Scholar
Sims, C. A. (1986). Are forecasting models usable for policy analysis?Federal Reserve Bank of Minneapolis Quarterly Review, 10(1), Winter.Google Scholar
Sims, C. A. (1999). The role of interest rate policy in the generation and propagation of business cycles: what has changed since the '30s? In Beyond Shocks: What Causes Business Cycles, eds. Fuhrer, J. C. and Schuhrs, S.. Federal Reserve Bank of Boston Conference Series, No. 42.Google Scholar
Sims, C. A. (2002). The role of models and probabilities in the monetary policy process. Brooking Papers on Economic Activity, 2.Google Scholar
Sirakaya, S. (2003). Mimeo. Recidivism and Social Interactions. Department of Economics, University of Washington, Seattle, WA.Google Scholar
Smith, A. (1778) 1976. An Inquiry into the Nature and Causes of the Wealth of Nations. New York: Oxford University Press.Google Scholar
Söderlind, P. (1999). Solution and estimation of RE macro models with optimal policy. European Economic Review, 43.CrossRefGoogle Scholar
Solomon, S. and Levy, M. (1996). Spontaneous Scaling Emergence in Generic Stochastic Systems. arXiv:adap-org/9609002v1 11 Sep 96.Google Scholar
Solow, R. and Samuelson, P. (1960). Analytical aspects of anti-inflation policy. American Economic Review, 50(2).Google Scholar
Spanos, A. (1995). On theory testing in econometrics: modeling with nonexperimental data. Journal of Econometrics, 676.Google Scholar
Spirtes, P., Glymour, C. and Scheines, R. (2000). Causation, Prediction and Search. 2nd edn. Cambridge, MA: MIT Press.Google Scholar
Steindl, J. (1965). Random Processes and the Growth of Firms. New York: Hafner Publishing Company.Google Scholar
Stigler, S. M. (1986). The History of Statistics: Measurement of Uncertainty Before 1900. Cambridge, MA: Belknap Press.Google Scholar
Stiglitz, J. E. (1993). Post Walrasian and post Marxian economics. Journal of Economic Perspectives, 7(1).CrossRefGoogle Scholar
Summers, L. H. (1992). The scientific illusion in empirical macroeconomics. Scandinavian Journal of Economics, 93(2).Google Scholar
Svensson, L. E. O. (2001). The zero bound in an open economy: a foolproof way of escaping from a liquidity trap. Monetary and Economic Studies, 19.Google Scholar
Swanson, N. R. and Granger, C. W. J. (1997). Impulse response functions based on a causal approach to residual orthogonalization in vector autoregressions. Journal of the American Statistical Association, 92.CrossRefGoogle Scholar
Takayama, A. (1985). Mathematical Economics, 2nd edn. Cambridge University Press, Cambridge, UK.Google Scholar
Tarshis, L. (1947). Elements of Economics. Boston: Houghton Mifflin.Google Scholar
Taylor, J. B. (1979). Staggered wage setting in a macro model. American Economic Review, 69.Google Scholar
Taylor, J. B. (1980). Aggregate dynamics and staggered contract. Journal of Political Economy, 88(1).CrossRefGoogle Scholar
Taylor, J. B. (1999). Monetary Policy Rules. Chicago: University of Chicago Press.CrossRefGoogle Scholar
Taylor, P. D. and Jonker, L. (1978). Evolutionarily stable strategies and game dynamics. Mathematical Bioscience, 40.CrossRefGoogle Scholar
Taylor, J. B. and Woodford, M. (1999). Handbook for Macroeconomics. Amsterdam: North-Holland.Google Scholar
Teller, P. Forthcoming. Twilight of the Perfect Model Model. Erkenntis.Google Scholar
Tesfatsion, L. (2002). Agent-based computational economics: growing economies from the bottom up. Artificial Life, 8.CrossRefGoogle ScholarPubMed
Tesfatsion, L. (2006). Agent-Based Computational Economics: A Constructive Approach to Economic Theory, Chapter 1 in Tesfatsion and Judd (2006), op. cit.Google Scholar
Tesfatsion, L. and Judd, K. L., eds. (2006). Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics, Handbooks in Economics Series. Elsevier. Amsterdam: North-Holland.Google Scholar
Tesfatsion, L. (Guest, ed.) (2001a). Special issue on agent-based computational economics. Journal of Economic Dynamics and Control, 25(3–4).CrossRefGoogle Scholar
Tesfatsion, L. (Guest, ed.) (2001b). Special issue on agent-based computational economics, Computational Economics, 18(1).CrossRefGoogle Scholar
Tesfatsion, L. (Guest, ed.) (2001c). Special issue on the agent-based modeling of evolutionary economic systems, IEEE Transactions on Evolutionary Computation, 5(5), 437–560.CrossRefGoogle Scholar
Tetlow, R. and zur Muehlen, P. (2001). Robust monetary policy with misspecified models: does model uncertainty always call for attenuated policy?Journal of Economic Dynamics and Control, 25(6–7).CrossRefGoogle Scholar
Thaler, R. (1991). Quasi Rational Economics. New York: Russell Sage Foundation.Google Scholar
Thaler, R. (1993). Advances in Behavioral Finance. New York, NY: Russell Sage Foundation.Google Scholar
Thornton, H., 1962 (1802). An Enquiry into the Nature and Effects of the Paper Credit of Great Britain. Fairfield, NJ: Augustus M. Kelley.Google Scholar
Tinbergen, J. (1939). Statistical Testing of Business-Cycle Theories. 2 Vols. Geneva: League of Nations.Google Scholar
Tintner, G. (1952a). Complementarity and shifts in demand. Metroeconomica, 4.CrossRefGoogle Scholar
Tintner, G. (1952b). Econometrics. New York, NY: John Wiley & Sons.Google Scholar
Tirole, J. (2003). The Theory of Industrial Organization. Cambridge, MA: MIT Press.Google Scholar
Tobin, J. (1947). Money wage rates; and Employment. In The New Economics, ed. Harris, S. E.. New York: Albert A. Knopf.Google Scholar
Tobin, J. (1963). Commercial Banks as Creators of Money. In Banking and Monetary Studies: in Commemoration of the Centennial of the National Banking System, ed. Carson, D.. Homewood, IL: Irwin.Google Scholar
Tobin, J. (1969). A general equilibrium approach to monetary theory. Journal of Money, Credit and Banking, 1(1).CrossRefGoogle Scholar
Tobin, J. (1974). Friedman's Theoretical Framework. In Milton Friedman's Monetary Framework: A Debate with his Critics, ed. Gordon, R. J.. Chicago: University of Chicago Press.Google Scholar
Tobin, J. (1975). Keynesian models of recession and depression. American Economic Review Papers and Proceedings, 65, May.Google Scholar
Tobin, J. and Dolbear, F. T. (1963). Comments on the relevance of psychology to economic theory and research. In Psychology: A Study of a Science, Vol. 6, ed. Koch, S.. New York: McGraw-Hill.Google Scholar
Topa, G. (2001). Social interactions, local spillovers and unemployment. Review of Economic Studies, 68(2).CrossRefGoogle Scholar
Tversky, A. and Kahneman, D. (1986). Rational choice and the framing of decisions. In Rational Choice: the Contrast between Economics and Psychology, eds. Hogarth, R. M. and Reder, M. W.. Chicago: University of Chicago Press.Google Scholar
Tversky, A. and Kahneman, D. (1991). Loss aversion in riskless choice: a reference-dependent model. Quarterly Journal of Economics, 106.CrossRefGoogle Scholar
Veblen, T. (1898). Why is economics not an evolutionary science?Quarterly Journal of Economics, 12.CrossRefGoogle Scholar
Voth, H.-J. (1998). Time and work in eighteenth century London. Journal of Economic History, 58(1).CrossRefGoogle Scholar
Vriend, N. J. (2002). Was Hayek an ace?Southern Economic Journal, 68(4).CrossRefGoogle Scholar
Wald, A. (1950). Statistical Decision Functions. New York: John Wiley.Google Scholar
Walker, D. A. (1983). William Jaffe's Essays on Walras. Cambridge and New York: Cambridge University Press.CrossRefGoogle Scholar
Walker, D. A. (2005). Walras' Market Model. Cambridge and New York: Cambridge University Press.Google Scholar
Walras, L. (1874). Elements of Pure Economics. Lausanne: L. Borbax.Google Scholar
Watson, M. W. (1994). Vector autoregressions and cointegration. In Handbook of Econometrics, Vol. 2, eds. Engle, R. F. and McFadden, D. L.. Amsterdam, New York, Oxford, and Tokyo: North-Holland.Google Scholar
Watts, D. (1999). Small Worlds: the Dynamics of Networks between Order and Randomness. Princeton, NJ: Princeton University Press.Google Scholar
Weatherford, J. (1997). The History of Money. New York: Three Rivers Press.Google Scholar
Weibull, J. W. (2004). Testing game theory. Boston University Economics Department Working Paper.Google Scholar
Weinberg, B., Reagan, P. and Yankow, J. (2004). Do neighborhoods affect hours worked? Evidence from longitudinal data. Journal of Labor Economics.CrossRefGoogle Scholar
Weiss, G., ed. (1999). Multiagent Systems: a Modern Approach to Distributed Artificial Intelligence. Cambridge, MA: MIT Press.Google Scholar
Weitzman, M. (2004). Mimeo. The Bayesian Family of Equity Non-Puzzles. Department of Economics, Harvard University.Google Scholar
West, K. (1996). Asymptotic inference about predictive ability. Econometrica, 64.CrossRefGoogle Scholar
White, H. (1994). Estimation, Inference and Specification Analysis, Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Wicksell, K. (1898). Geldzins und Güterpreise. Jena: Gustav Fisher. Trans. Richard Kahn as Interest and Prices. London: Macmillan (1936).Google Scholar
Wicksell, K. (1935). Lectures on Political Economy. London : Routledge and Kegan Paul. (Orig. pub. 1901 in Swedish.)Google Scholar
Wilhite, A. (2001). Bilateral trade and ‘Small-World’ networks. Computational Economics, 18(1).CrossRefGoogle Scholar
Williams, N. (2003). Mimeo. Adaptive Learning and Business Cycles.Google Scholar
Witt, U. (1993). Evolutionary Economics. Cheltenham, UK: Edward Elgar Publishers.Google Scholar
Wolcott, S. and Clark, G. (1999). Why nations fail?: managerial decisions and performance in Indian cotton textiles, 1890–1938. Journal of Economic History, 59(2).CrossRefGoogle Scholar
Woodford, M. (1990). Learning to believe in sunspots. Econometrica, 58, 272–307.CrossRefGoogle Scholar
Woodford, M. (1999). Revolution and Evolution in Twentieth-Century Macroeconomics. Paper prepared for the conference on Frontiers of the Mind in the Twenty-First Century, Library of Congress, Washington, DC, June.Google Scholar
Woodford, M. (2003). Interest and Prices: Foundations of a Theory of Monetary Policy. Princeton, NJ: Princeton University Press.Google Scholar
Woodford, M. and Farmer, R. (1997). Self-fulfilling prophecies and the business cycle. Macroeconomic Dynamics, 1(4).Google Scholar
Wu, B.-F. and Jonckheere, E. (1992). A simplified approach to Bode's theorem for continuous and discrete time systems. IEEE Transactions on Automatic Control, 37(100).CrossRefGoogle Scholar
Yeager, L. (1973). The Keynesian diversion. Western Economic Journal, 11, June.Google Scholar
Yeager, L. (1986). The significance of monetary disequilibrium. Cato Journal, 6, Fall.Google Scholar
Young, W. (1987). Interpreting the IS/LM Enigma. Boulder, CO: Westview Press.Google Scholar
Young, H. P. (1993). An evolutionary model of bargaining. Journal of Economic Theory, 59(1).CrossRefGoogle Scholar
Young, H. P. (1996). The economics of convention. Journal of Economic Perspectives, 10, Spring.CrossRefGoogle Scholar
Young, H. P. (1998). Individual Strategy and Social Structure: An Evolutionary Theory of Institutions. Princeton, NJ: Princeton University Press.Google Scholar
Young, H. P. (1999). Diffusion in Social Networks. Center on Social and Economic Dynamics Working Paper. Washington, DC: Brookings Institution.Google Scholar
Young, H. P. and Burke, M. (2001). Competition and custom in economic contracts: a case study of Illinois agriculture. American Economic Review, 91(3).CrossRefGoogle Scholar
Young, H. P. and Burke, M. (2003). Mimeo. On the Distributional Effects of Contractual Norms: the Case of Cropshare Contracts. Department of Economics, Johns Hopkins University, Baltimore, MD.Google Scholar
Zabell, S. L. (1992). Predicting the unpredictable. Synthese, 90.CrossRefGoogle Scholar
Achen, C. H. and Shively, W. P. (1995). Cross-Level Inference. Chicago: University of Chicago Press.Google Scholar
Adam, K. (2004). Learning to forecast and cyclical behavior of output and inflation. forthcoming. Macroeconomic Dynamics.Google Scholar
Adelman, I. and Adelman, F. L. (1959). The dynamic properties of the Klein-Goldberger model. Econometrica, 27.CrossRefGoogle Scholar
Aghion, P., Frydman, R., Stiglitz, J. and Woodford, M. (2003). Knowledge, Information and Expectations in Modern Economics. Princeton, NJ: Princeton University Press.Google Scholar
Aizer, A. and Currie, J. (2004). Networks or neighborhood? Correlations in the use of publicly-funded maternity care in California. Journal of Public Economics, 88(12).CrossRefGoogle Scholar
Akerlof, G. (2002). Behavioral macroeconomics and macroeconomic behavior. The American Economic Review, 92.Google Scholar
Akerlof, G. and Kranton, R. (2000). Economics and identity. Quarterly Journal of Economics, 115(3).CrossRefGoogle Scholar
Akerlof, G. and Yellen, J. (1990). The fair-wage effort hypothesis and unemployment. Quarterly Journal of Economics, 105.CrossRefGoogle Scholar
Albin, P. S. (1998). Barriers and Bounds to Rationality: Essays on Economic Complexity and Dynamics in Interactive Systems. Princeton, NJ: Princeton University Press.Google Scholar
Albin, P. S. and Foley, D. (1992). Decentralized, dispersed exchange without an auctioneer: a simulation study. Journal of Economic Behavior and Organization, 18.CrossRefGoogle Scholar
Alchian, A. (1950). Uncertainty, evolution, and economic theory. Journal of Political Economy, 58.CrossRefGoogle Scholar
Aldous, D. (1985). Exchangeability and related topics. In Lecture Notes in Mathematics, No. 1117. Berlin: Springer-Verlag.Google Scholar
Allen, B. (1982). Some stochastic processes exhibiting externalities among adopters. International Economic Review, 23(3).CrossRefGoogle Scholar
Allen, T. M. and Carroll, C. D. (2001). Individual learning about consumption. Macroeconomic Dynamics, 5(2).CrossRefGoogle Scholar
Altuğ, S. (1989). Time-to-build and aggregate fluctuations: some new evidence. International Economic Review, 30.CrossRefGoogle Scholar
Ames, E. and Reiter, S. (1961). Distribution of correlation coefficients in economic time series. Journal of the American Statistical Association, 56.CrossRefGoogle Scholar
Andersen, L. C. and Jordan, J. L. (1968). Monetary and fiscal actions: a test of their relative importance in economic stabilization. Federal Reserve Bank of St. Louis Review, November.Google Scholar
Anderson, T. W. (1950). Estimation of the parameters of a single equation by the limited-information maximum-likelihood method. In Statistical Inference in Dynamic Economic Models, ed. Tjalling, K. C.. Cowles Commission Monograph 10. New York, NY: John Wiley & Sons, Inc.Google Scholar
Anderson, T. W. and Rubin, H. (1949a). Estimation of the parameters of a single equation in a complete system of stochastic equations. Annals of Mathematical Statistics, 20.CrossRefGoogle Scholar
Anderson, T. W. and Rubin, H. (1949b). The asymptotic properties of estimates of the parameters of a single equation in a complete system of stochastic equations. Annals of Mathematical Statistics, 21.Google Scholar
Anderson, R. M. and Sonnenschein, H. (1985). Rational expectations equilibrium with econometric models. Review of Economic Studies, 52(3).CrossRefGoogle Scholar
Anderson, P. W., Arrow, K. J. and Pines, D. (1988). The Economy As an Evolving Complex System, Proceedings Volume V, Santa Fe Institute Studies in the Sciences of Complexity. Reading, MA: Addison-Wesley.Google Scholar
Anderson, S. P., Goeree, J. K. and Holt, C. A. (1998). A theoretical analysis of altruism and decision error in public goods games. Journal of Public Economics, 70.CrossRefGoogle Scholar
Ando, A. and Modigliani, F. (1965). The relative stability of monetary velocity and the investment multiplier. American Economic Review, 55, September.Google Scholar
Antoniak, C. (1969). Mixture of Dirichlet Processes with Applications to Bayesian Nonparametric Problems. Ph.D. dissertation, University of California, Los Angeles.Google Scholar
Aoki, M. (1995). Economic fluctuations with interactive agents: dynamic and stochastic externalities. Japanese Economic Review, 46.CrossRefGoogle Scholar
Aoki, M. (1996). New Approaches to Macroeconomic Modeling: Evolutionary Stochastic Dynamics, Multiple Equilibria and Externalities as Field Effects. New York: Cambridge University Press.CrossRefGoogle Scholar
Aoki, M. (2002). Modeling Aggregate Behaviour and Fluctuations in Economics: Stochastic Views of Interacting Agents. New York: Cambridge University Press.Google Scholar
Aoki, M. and Yoshikawa, H. (2002). Demand saturation-creation and economic growth. Journal of Behavioral Organization, 48.Google Scholar
Aoki, M. and Yoshikawa, H. (2003). Uncertainty, policy ineffectiveness and long stagnation of the macro economy. Working Paper No. 316, Center for Japan–U.S. Business and Economic Studies, Leonard N. Stern School of Business. New York University, NY.Google Scholar
Aoki, M. and Yoshikawa, H. (2005). Effects of Demand Share Patterns on GDP, Okun's Law, Beveridge Curves and Sector Sizes. Presentation at the 11th International Conference on Computing in Economics and Finance, Washington, DC, June.Google Scholar
Aoki, M. and Yoshikawa, H. (2006). A Reconstruction of Macroeconomics: a Perspective from Statistical Physics and Combinatorial Stochastic Processes. New York: Cambridge University Press.CrossRefGoogle Scholar
Arifovic, J. (2000). Evolutionary algorithms in macroeconomic models. Macroeconomic Dynamics, 4, 373–414.CrossRefGoogle Scholar
Arifovic, J. and Gencay, R. (2000). Statistical properties of genetic learning in a model of exchange rate. Journal of Economic Dynamics and Control, 24.CrossRefGoogle Scholar
Arrow, K. J. (1987). Oral history I: an interview. In Arrow and the Ascent of Modern Economic Theory, ed. Feiwel, G. R.. New York: New York University Press.CrossRefGoogle Scholar
Arrow, K. J. and Hahn, F. H. (1971). General Competitive Analysis. San Francisco: Holden-Day.Google Scholar
Arthur, W. B. (1997). Asset pricing under endogenous expectations in an artificial stock market. In The Economy as an Evolving Complex System II, eds. Arthur, W. B., Durlauf, S. N., Lane, D. A. and Taylor, P.. Reading, MA: Addison-Wesley.Google Scholar
Arthur, W. B., Durlauf, S. N. and Lane, D. A., eds. (1997). The Economy as an Evolving Complex System II, Proceedings Volume XXVII, Santa Fe Institute Studies in the Sciences of Complexity. Reading, MA: Addison-Wesley.Google Scholar
Auerbach, R. (1982). Some modern varieties of monetarists. Monetarism and the Federal Reserve's Conduct of Monetary Policy, U.S. Congress Joint Economic Committee Report.Google Scholar
Auyang, S. M. (1998). Foundations of Complex-System Theory in Economics, Evolutionary Biology and Statistical Physics. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Axelrod, R. (1984). The Evolution of Co-operation. New York: Basic Books.Google Scholar
Axelrod, R. (1997). The Complexity of Cooperation: Agent-Based Models of Complexity and Cooperation.Princeton, NJ: Princeton University Press.Google Scholar
Axelrod, R. (2006). Agent-based modeling as a bridge between disciplines. In Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics, Handbooks in Economic Series. Amsterdam: North-Holland.Google Scholar
Axelrod, R. and Tesfatsion, L. (2006). A guide for newcomers to agent-based modeling in the social sciences. In Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics, Hand Books in Economic Series. Amsterdam: North-Holland.Google Scholar
Axtell, R. L. (2000). Why agents? On the varied motivations for agent computing in the social sciences. In Proceedings of the Workshop on Agent Simulation: Applications, Models and Tools, eds. Macal, C. M. and Sallach, D.. Chicago, IL: Argonne National Laboratory.Google Scholar
Axtell, R. L. (2001). Zipf distribution of U.S. firm sizes. Science, 293.CrossRefGoogle ScholarPubMed
Axtell, R. L. (2002). Non-cooperative dynamics of multi-agent teams. In Proceedings of the First International Joint Conference on Autonomous Agents and Multiagent Systems, Part 3, eds. Castelfranchi, C. and Johnson, W. L.. Bologna, Italy: ACM Press.Google Scholar
Axtell, R. L. (2003). Economics as distributed computation. In Meeting the Challenge of Social Problems via Agent-Based Simulation, eds. Terano, T., Deguchi, H. and Takadama, K.. Tokyo: Springer-Verlag.CrossRefGoogle Scholar
Axtell, R. L. (2006). Mimeo. A methodology of agent computing in economics. Center on Social and Economic Dynamics.Washington, DC: The Brookings Institution.
Axtell, R. L. and Epstein, J. M. (1999). Coordination in transient social networks: an agent-based computational model of the timing of retirement. In Behavioral Dimensions of Retirement Economics, ed. Aaron, H. J.. Washington, DC: The Brookings Institution Press.Google Scholar
Axtell, R. L., Epstein, J. M. and Young, H. P. (2001). The emergence of classes in a multi-agent bargaining model. In Social Dynamics, eds. Durlauf, S. N. and Young, H. P.. Cambridge, MA/Washington, DC: MIT Press/Brookings Institution Press.Google Scholar
Axtell, R. L., Epstein, J. M., Dean, J. S., Gumerman, G. J., Swedlund, A. C., Harburger, J., Chakravarty, S., Hammond, R., Parker, J. and Parke, M. T. (2002). Population growth and collapse in a multiagent model of the Kayenta Anasazi in Long House Valley. Proceedings of the National Academy of Science USA, 99(suppl. 3).CrossRefGoogle Scholar
Bagehot, W. (1873). Lombard Street: a Description of the Money Market. London: ed. King, Henry S. (simultaneously with Scribner, Armstrong and Co., New York).Google Scholar
Baillie, R. T., Bollerslev, T. and Mikkelsen, H. O. (1996). Fractionally integrated generalized autoregressive conditional heteroskedasticity, Journal of Econometrics, 74.CrossRefGoogle Scholar
Barabasi, A.-L. (2002). Linked: The New Science of Networks. Boston: Perseus.Google Scholar
Barberis, N., Huang, M. and Santos, T. (2001). Prospect theory and asset prices. Quarterly Journal of Economics, 116.CrossRefGoogle Scholar
Barens, I. (1989). From the ‘Banana Parable’ to the principle of effective demand: some reflections on the origin, development and structure of Keynes' General Theory. In Perspectives on the History of Economic Thought, Vol. 2, ed. Walker, D. A.. Aldershot, UK: Edward Elgar.Google Scholar
Barens, I. (1997). What went wrong with IS-LM/AS-AD analysis – and why?Eastern Economic Journal, 23(1).Google Scholar
Barnett, W. A., Geweke, J. and Shell, K. (1989). Economic Complexity: Chaos, Sunspots, Bubbles and Nonlinearity. New York: Cambridge University Press.Google Scholar
Barr, A. and Serneels, P. (2004). Wages and Reciprocity in the Workplace. Working Paper 2004–18, Oxford University Center for the Study of African Economies, Oxford, UK.Google Scholar
Barreteau, O. (2003). Our companion modelling approach. Journal of Artificial Societies and Social Simulation, 6(1). http://jasss.soc.surrey.ac.uk/6/2/1.html.Google Scholar
Barro, R. and Grossman, H. I. (1971). A general disequilibrium model of income and employment. American Economic Review, 61(1).Google Scholar
Barro, R. and Grossman, H. I. (1976). Money, Employment and Inflation. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Barro, R. and McCleary, R. (2003). Religion and economic growth across countries. American Sociological Review, 68(5).CrossRefGoogle Scholar
Basmann, R. L. (1962). Letter to the editor. Econometrica, 30.Google Scholar
Basmann, R. L. (1974). Exact Finite Sample distributions for some econometric estimators and test statistics: a survey and appraisal. In Intriligator and Kendrick (1974).
Basmann, R. L. and Hwang, H.-S. (1990). A Monte Carlo study of structural estimator distributions after performance of likelihood ratio pre-tests. In Contributions to Econometric Theory and Application: Essays in Honour of A.L. Nagar. New York, NY: Springer-Verlag (1990).Google Scholar
Basmann, R. L., Battalio, R. C. and Kagel, J. H. (1976). An experimental test of a simple theory of aggregate per-capita demand functions. Schweitz Zeitschrift für Volkswirtschaft und Statistik. Heft2/1976.Google Scholar
Basmann, R. L., Molina, D. J. and Slottje, D. J. (1983). Budget constraint prices as preference changing parameters of generalized Fechner-Thurstone direct utility functions. American Economic Review, 73.Google Scholar
Basu, N. and Pryor, R. J. (1997). Growing a Market Economy. Sandia Report. Albuquerque, NM: Sandia National Laboratories.Google Scholar
Batten, D. F. (2000). Discovering Artificial Economics: How Agents Learn and Economies Evolve.Boulder, Colorado: Westview Press.Google Scholar
Baumol, W. (1951). Economic Dynamics. London: Macmillan.Google Scholar
Baxter, M. and King, R. (1991). Production Externalities and Business Cycles, Discussion Paper 53, Federal Reserve Bank of Minneapolis.Google Scholar
Belew, R. K. and Mitchell, M., eds. (1996). Adaptive Individuals in Evolving Populations: Models and Algorithms, Proceedings Volume XXVI, Santa Fe Institute Studies in the Sciences of Complexity, Reading, MA: Addison-Wesley.Google Scholar
Bell, A. M. (1997). Bilateral trading on a network: convergence and optimality results. Department of Economics Working Papers, Vanderbilt University, Nashville, TN.Google Scholar
Bénabou, R. (1996). Equity and efficiency in human capital investment: The local connection. Review of Economic Studies, 63(2).CrossRefGoogle Scholar
Benartzi, S. and Thaler, R. (1996). Myopic loss aversion and the equity premium puzzle. Quarterly Journal of Economics, 110.Google Scholar
Benhabib, J. and Farmer, R. (1994). Indeterminacy and increasing returns. Journal of Economic Theory, 63.CrossRefGoogle Scholar
Benhabib, J. and Farmer, R. E. A. (2000). The monetary transmission mechanism. Review of Economic Dynamics, 3(3).CrossRefGoogle Scholar
Benhabib, J. and Rustichini, A. (1994). Introduction: symposium on growth, fluctuations and sunspots: confronting the data. Journal of Economic Theory, 63.CrossRefGoogle Scholar
Benhabib, J., Schmitt-Grohé, S. and Uribe, M. (2001a). The perils of Taylor rules. Journal of Economic Theory, 96.CrossRefGoogle Scholar
Benhabib, J., Schmitt-Grohé, S. and Uribe, M. (2001b). Monetary policy and multiple equilibria. American Economic Review, 91.CrossRefGoogle Scholar
Bernanke, B. S. (2000). Japanese monetary policy: a case of self induced paralysis. In Japan's Financial Crisis and Its Parallels to U.S. Experience, eds. Mikitani, R. and Posen, A. S.. Washington, DC: Institute for International Economics.Google Scholar
Bernardo, J. and Smith, A. (1994). Bayesian Theory. New York: John Wiley.CrossRefGoogle Scholar
Berndt, E. R. (1990). The Practice of Econometrics: Classic and Contemporary. Reading, MA: Addison-Wesley.Google Scholar
Bernstein, P. L. (1992). Capital Ideas: the Improbable Origins of Modern Wall Street. New York: Free Press.Google Scholar
Bertrand, M., Luttmer, E. and Mullainathan, S. (2000). Network effects and welfare cultures. Quarterly Journal of Economics, 115(3).CrossRefGoogle Scholar
Bewley, T. (1999). Why Wages Don't Fall During a Recession. Cambridge, MA: Harvard University Press.Google Scholar
Beyer, A. and Farmer, R. E. A. (2002). Natural rate doubts. Working Paper Series, No. 121, European Central Bank.Google Scholar
Beyer, A. and Farmer, R. E. A. (2003a). Identifying the monetary transmission mechanism using structural breaks. European Central Bank Working Paper Series, No. 275.Google Scholar
Beyer, A. and Farmer, R. E. A. (2003b). On the indeterminacy of determinacy and indeterminacy. European Central Bank Working Paper Series, No. 277.Google Scholar
Beyer, A. and Farmer, R. E. A. (2004). On the indeterminacy of New-Keynesian Economics. European Central Bank Working Paper Series, No. 323.Google Scholar
Binmore, K. G., Gale, J. and Samuelson, L. (1995). Learning to be imperfect: the ultimatum game. Games and Economic Behavior, 8.Google Scholar
Bisin, A., Moro, A. and Topa, G. (2002). Mimeo. The Empirical Content of Models with Multiple Equilibria. New York University, New York.Google Scholar
Bisin, A., Horst, U. and Ozgur, O. (2004). Mimeo. Rational Expectations Equilibria of Economies with Local Interactions. New York University, New York.Google Scholar
Blanchard, O. (2000a). What do we know about macroeconomics that Fisher and Wicksell did not?Quarterly Journal of Economics, 115(4), November.CrossRefGoogle Scholar
Blanchard, O. (2000b). Discussions of the Monetary Response – Bubbles, Liquidity Traps and Monetary Policy, pp. 185–193.Google Scholar
Blanchard, O. and Fischer, S. (1989). Lectures on Macroeconomics. Cambridge, MA: MIT Press.Google Scholar
Blinder, A., et al. (1998). Asking About Prices: a New Approach to Understanding Price Stickiness. New York: Russell Sage.Google Scholar
Blount, S. (1995). When social outcomes aren't fair: the effect of causal attributions on preferences. Organization Behavior and Human Decision Processes, 63.CrossRefGoogle Scholar
Blume, L. (1993). The statistical mechanics of strategic interaction. Games and Economic Behavior, 5(3).CrossRefGoogle Scholar
Bodkin, R. G., Klein, L. R. and Marwah, K. (1991). A History of Macroeconomic Model-Building. Brookfield, VT: Edward Elgar Publishing Company.Google Scholar
Boivin, J. and Giannoni, M., Forthcoming. Has montetary policy become more effective? Review of Economics and Statistics.
Boozer, M. and Cacciola, S. (2001). Inside the black box of project star: estimation of peer effects using experimental data. Discussion Paper No. 832. Yale University Growth Center.Google Scholar
Bowles, S. and Gintis, , , H. (1993). The revenge of Homo economicus: contested exchange and the revival of political economy. Journal of Economic Perspectives, 7(1).CrossRefGoogle Scholar
Bowles, S. and Gintis, H. (1998). How communities govern: the structural basis of prosocial norms. In Economics, Values and Organizations, ed. Putterman, L. and Ben-Ner, A.. New York: Cambridge University Press.Google Scholar
Bowles, S. and Gintis, H. (2000a). Walrasian economics in retrospect. Quarterly Journal of Economics, 115(4).CrossRefGoogle Scholar
Branch, W. A. (2004). The theory of rationally heterogeneous expectations: evidence from survey data on inflation expectations. Economic Journal, 114.CrossRefGoogle Scholar
Branch, W. A. and Evans, G. W. (2004). Forthcoming. Intrinsic heterogeneity in expectation formation. Journal of Economic Theory.Google Scholar
Branch, W. A. and Evans, G. W. (2005). Mimeo. Model Uncertainty and Endogenous Volatility.Google Scholar
Branch, W. A. and McGough, B. (2005). Consistent expectations and misspecification in stochastic non-linear economies. Journal of Economic Dynamics and Control, 29.CrossRefGoogle Scholar
Brock, W. (1993). Pathways to randomness in the economy: emergent nonlinearity and chaos in economics and finance. Estudios Economico, 8(3).Google Scholar
Brock, W. (2004). Mimeo. Profiling Problems with Partially Identified Structure. Department of Economics, University of Wisconsin, Madison, WI.Google Scholar
Brock, W. and Durlauf, S. (2000). Interactions based models. NBER, Technical Working Paper No. 258.Google Scholar
Brock, W. and Durlauf, S. (2001a). Discrete choice with social interactions. Review of Economic Studies, 68(2).CrossRefGoogle Scholar
Brock, W. and Durlauf, S. (2001b). Interactions-based models. In Handbook of Econometrics, Vol. 5, eds. Heckman, J. and Leamer, E.. Amsterdam: North-Holland.Google Scholar
Brock, W. and Durlauf, S. (2001c). Growth empirics and reality. World Bank Economic Review, 15(2).Google Scholar
Brock, W. and Durlauf, S. (2004a). Elements of a theory of design: limits to optimal policy. The Manchester School, 72 (suppl. 2).CrossRefGoogle Scholar
Brock, W. and Durlauf, S. (2004b). Mimeo. Identification of Binary Choice Models with Social Interactions. University of Wisconsin, Madison, WI.Google Scholar
Brock, W. and Durlauf, S. (2004c). Mimeo. Local Robustness Analysis: Theory and Application. Department of Economics, University of Wisconsin, Madison, WI.Google Scholar
Brock, W. and Durlauf, S. (2004d). Forthcoming. A multinomial choice model with social interactions. In The Economy as an Evolving Complex System III, eds. Blume, L. and Durlauf, S.. New York: Oxford University Press.Google Scholar
Brock, W. and Hommes, C. (1997). A rational route to randomness. Econometrica, 65(5).CrossRefGoogle Scholar
Brock, W. and Hommes, C. (1998). Heterogeneous beliefs and routes to chaos in a simple asset pricing model. Journal of Economic Dynamics and Control, 22.CrossRefGoogle Scholar
Brock, W., Hsieh, D. and LeBaron, B. (1991). Nonlinear Dynamics, Chaos and Instability: Statistical Theory and Economic Evidence. Cambridge, MA: MIT Press.Google Scholar
Brock, W., Durlauf, S. and West, K. (2003). Policy evaluation in uncertain economic environments (with discussion). Brookings Papers on Economic Activity, 1.Google Scholar
Brock, W., Durlauf, S. and West, K. (2004). Mimeo. Model Uncertainty and Policy Evaluation: Some Theory and Empirics. Department of Economics, University of Wisconsin, Madison, WI.CrossRefGoogle Scholar
Brooks-Gunn, J., Duncan, G., Klebanov, P. and Sealand, N. (1993). Do neighborhoods affect child and adolescent development?American Journal of Sociology, 99(2).CrossRefGoogle Scholar
Bryant, R. (1983). A simple rational expectations Keynes-type model. Quarterly Journal of Economics, 97.Google Scholar
Bullard, J. and Duffy, J. (2001). Learning and excess volatility. Macroeconomics Dynamics, 5(2).Google Scholar
Bullard, J. B. and Eusepi, S. (2005). Did the great inflation occur despite policymaker commitment to a Taylor rule?Review of Economic Dynamics, 8(2).CrossRefGoogle Scholar
Burke, M., Fournier, G. and Prasad, K. (2004). Mimeo. Physician Social Networks and Geographical Variation in Medical Care. Florida State University, Tallahassee, FL.Google Scholar
Cagan, P. (1956). The monetary dynamics of hyperinflation. In Studies in the Quantity Theory of Money, ed. Friedman, M.. Chicago: University of Chicago Press.Google Scholar
Camerer, C. (2003). Behavioral Game Theory: Experiments in Strategic Interaction. Princeton, NJ: Princeton University Press.Google Scholar
Camerer, C. F. and Loewenstein, G. (2004). Behavioral economics: past, present and future. In Advances in Behavioral Economics, eds. Camerer, C. F., Loewenstein, G. and Rabin, M.. Princeton, NJ: Princeton University Press.Google Scholar
Campbell, J. Y. and Cochrane, J. H. (1999). By force of habit: {A} consumption-based explanation of aggregate stock market behavior. Journal of Political Economy, 107.CrossRefGoogle Scholar
Carlsson, H. and Damme, E. (1993). Global games and economic selection. Eca, 61.Google Scholar
Carpenter, J. (2002). The demand for punishment. Working Paper 02-43, Middlebury College, Middlebury, VT.Google Scholar
Carpenter, J. and Matthews, P. H. (2004). Social reciprocity. Middlebury College Working Paper 02-29R, Middlebury College, Middlebury, VT.Google Scholar
Carpenter, J. and Matthews, P. H. (2005). Norm enforcement: anger, indignation or reciprocity. Middlebury College Working Paper 05-03, Middlebury College, Middlebury, VT.Google Scholar
Carpenter, J. and Sakei, E. (2004). Do social preferences increase productivity? Field experimental evidence from fishermen in Toyoma Bay. Middlebury College Working Paper 051-15, Middlebury College, Middlebury, VT.Google Scholar
Carroll, C. D. (2002). Requiem for the representative agents? Aggregate implications of microeconomic consumption behavior. American Economic Review, 90.Google Scholar
Carroll, C. D. (2003). Macroeconomic expectations of households and professional forecasters. Quarterly Journal of Economics, 118.CrossRefGoogle Scholar
Carter, M. and Castillo, M. (2004). Mimeo. Identifying Social Effects with Economic Field Experiments. Georgia Tech University.Google Scholar
Carter, R. A. L., Dutta, J. and Ullah, A., eds. (1990). Contributions to Econometric Theory and Application: Essays in Honour of A. L. Nagar. New York, NY: Springer-Verlag.CrossRefGoogle Scholar
Cartwright, N. (1989). Nature's Capacities and Their Measurement. Oxford: Clarendon Press.Google Scholar
Cass, D. and Shell, K. (1983). Do sunspots matter. Journal of Political Economy, 91(2), 295–329.CrossRefGoogle Scholar
Cazavillan, G., Lloyd-Braga, T. and Pintus, P. (1998). Multiple steady-states and endogenous fluctuations with increasing returns to scale in production. Journal of Economic Theory, 80(1), 60–107.CrossRefGoogle Scholar
Chari, V. V. and Kehoe, P. (1999). Optimal fiscal and monetary policy. In Handbook for Macroeconomics, eds. Taylor, J. and Woodford, M.. Amsterdam: North-Holland.Google Scholar
Chari, V., Kehoe, P. and Prescott, E. (1989). Time consistency and policy. In Modern Business Cycle Theory, ed. Barro, R.. Cambridge: Harvard University Press.Google Scholar
Chatterjee, S. and Ravikumar, B. (1999). Minimum consumption requirements: theoretical and quantitative implications for growth and distribution. Macroeconomic Dynamics, 3(4).CrossRefGoogle Scholar
Chernoff, H. (1954). Rational selection of decision functions. Econometrica, 22(4).CrossRefGoogle Scholar
Christ, C. (1951). A test of an econometric model for the United States, 1921–1947. In NBER Conference on Business Cycles. National Bureau of Economic Research, New York, NY. Also reprinted in Cowles Commission Papers, New Series No. 49 (1952).Google Scholar
Christ, C. (1960). Simultaneous equation estimation: any verdict yet?Econometrica, 28(4).CrossRefGoogle Scholar
Clarida, R., Gali, J. and Gertler, M. (2000). Monetary policy rules and macroeconomic stability: evidence and some theory. Quarterly Journal of Economics, 115(1).CrossRefGoogle Scholar
Clark, G. (1987). Why isn't the whole world developed?Journal of Economic History, 47(1).CrossRefGoogle Scholar
Clark, A. (1997). Being There: Putting Brain, Body and World Together Again. Cambridge, MA: MIT Press.Google Scholar
Clark, G. and Werf, Y. (1998). Work in progress? The industrious revolution. Journal of Economic History, 58(3).CrossRefGoogle Scholar
Clements, M. P. and Hendry, D. F. (1999). Forecasting Non-stationary Economic Time Series. Cambridge, MA: MIT Press.Google Scholar
Clower, R. (1965). The Keynesian counter-revolution: a theoretical appraisal. In The Theory of Interest Rates, eds. Hahn, F. H. and Frank, P. R.. London: Macmillan.Google Scholar
Clower, R. and Howitt, P. (1996). Taking markets seriously: groundwork for a post Walrasian macroeconomics. In Beyond Microfoundations: Post Walrasian Macroeconomics, ed. Colander, D.. Cambridge, MA: Cambridge University Press.CrossRefGoogle Scholar
Cochrane, J. H. (1998). What do the VARs mean? Measuring the output effects of monetary policy. Journal of Monetary Economics, 41.CrossRefGoogle Scholar
Cochrane, J. H. and Hansen, L. P. (1992). Asset pricing explorations for macroeconomists. NBER Macroeconomics Annual 1992, 7.Google Scholar
Coddington, A. (1976). Keynesian economics: The search for first principles. Journal of Economic Literature, 14(4) December.Google Scholar
Cogley, T. and Sargent, T. (2004). Mimeo. The Conquest of U.S. Inflation: Learning and Robustness to Model Uncertainty. University of California at Davis.Google Scholar
Colander, D. (1984). Was Keynes a Lernerian?Journal of Economic Literature, 22.Google Scholar
Colander, D. (1992). The new, the neo and the new neo: A review of new Keynesian economics, eds. Mankiw, N. G. and Romer, D.. Methodus, 3.Google Scholar
Colander, D. (1994). The macrofoundations of microeconomics. Eastern Economic Journal, 21.Google Scholar
Colander, D. (1995). The stories we tell: a reconsideration of AS/AD analysis. Journal of Economic Perspectives, 9(3), SummerCrossRefGoogle Scholar
Colander, D., ed. (1996). Beyond Microfoundations: post Walrasian Macroeconomics. Cambridge, MA: Cambridge University Press.CrossRefGoogle Scholar
Colander, D. (1998). Beyond new Keynesian economics: Post Walrasian economics. In New Keynesian Economics Post Keynesian Alternatives, ed. Rotheim, R.. Cheltenham, UK: Edward Elgar.Google Scholar
Colander, D. (2000). The death of neoclassical economics. Journal of the History of Economic Thought, 22.CrossRefGoogle Scholar
Colander, D. (2003a). Post-Walrasian macro policy and the economics of muddling through. International Journal of Political Economy, 33(2). Also in New Developments in Macroeconomic Policy, ed. Setterfield, M.. Armonk: Sharpe Publishing.Google Scholar
Colander, D. (2003b). Thinking outside the heterodox box: post Walrasian macroeconomics and heterodoxy. International Journal of Political Economy, 33(2). Also in New Developments in Macroeconomic Policy, ed. Setterfield, M.. Armonk: Sharpe Publishing.Google Scholar
Colander, D. (2004). The strange persistence of the IS-LM model. History of Political Economy, 36.Google Scholar
Colander, D. (2005). The Making of an Economist Redax. Journal of Economic Perspectives, 19(1).Google Scholar
Colander, D. and Guthrie, R. (1980). Great expectations: what the dickens is rational expectations?Journal of Post Keynesian Economics, 3(2), Winter.CrossRefGoogle Scholar
Colander, D. and Landreth, H. (1996). The Coming of Keynesianism to America. Cheltenham, England: Edward Elgar.Google Scholar
Colander, D. and van Ess, H. (1996). Post Walrasian macroeconomic policy. In Beyond Micro Foundations: Post Walrasian Macroeconomics, ed. Colander, D.. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Colander, D., Holt, R. and Rosser, J. B. (2003). The Changing Face of Mainstream Economics. Middlebury College Working Paper 03-27. Middlebury College, Middlebury, VT.Google Scholar
Cole, H. and Ohanian, L. (2004). New deal policies and the persistence of the great depression. Journal of Political Economy, 112(4).CrossRefGoogle Scholar
Conley, T. and Topa, G. (2002). Socio-economic distance and spatial patterns in unemployment. Journal of Applied Econometrics, 17(4).CrossRefGoogle Scholar
Constantinides, G. M. (2002). Rational asset prices. Journal of Finance, 57.CrossRefGoogle Scholar
Constantinedes, G. M. and Duffie, D. (1996). Asset pricing with heterogeneous consumers. Journal of Political Economy, 104.Google Scholar
Cook, C. and Tesfatsion, L. (2006). Agent-based computational laboratories for the experimental study of complex economic systems. Working Paper, Department of Economics, Iowa State University, Ames, IA, in progress.Google Scholar
Cooley, T. F. and LeRoy, S. F. (1985). A theoretical macroeconomics: a critique. Journal of Monetary Economics, 16.CrossRefGoogle Scholar
Cooper, R. (1999). Coordination Games. New York: Cambridge University Press.CrossRefGoogle Scholar
Cooper, R. (2002). Estimation and identification of structural parameters in the presence of multiple equilibria. Les Annales d'Economie et de Statistique, 66.Google Scholar
Cooper, R. and Corbae, D. (2001). Financial collapse and active monetary policy: a lesson from the Great Depression. Federal Reserve Bank of Minneapolis: Staff report 289 (forthcoming, Journal of Economic Theory).Google Scholar
Cooper, R. and Ejarque, J. (1995). Financial intermediation and the Great Depression: a multiple equilibrium interpretation. Carnegie-Rochester Series on Public Policy, 43.CrossRefGoogle Scholar
Cooper, R. and John, A. (1988). Coordinating coordination failures in Keynesian models. Quarterly Journal of Economics, 103.CrossRefGoogle Scholar
Cooper, R. and John, A. (1997). Dynamic complementarities: a quantitative analysis. Journal of Monetary Economics, 40.CrossRefGoogle Scholar
Dagsvik, J. and Jovanovic, B. (1994). Was the Great Depression a low-level equilibrium?European Economic Review, 38(9).CrossRefGoogle Scholar
Darby, M. (1976). Macroeconomics. New York: McGraw-Hill.Google Scholar
Darley, V. (1994). Emergent phenomena and complexity. In Artificial Life IV, eds. Brooks, R. A. and Maes, P.. Cambridge, MA: MIT Press.Google Scholar
Darley, V., Outkin, A., Plate, T. and Gao, F. (2001). Learning, Evolution and Tick Size Effects in a Simulation of the NASDAQ Stock Market. Proceedings of the 5th World Multi-Conference on Systemics, Cybernetics and Informatics (SCI 2001). Orlando, FL: International Institute for Informatics and Systematics.Google Scholar
Davidson, P. (1978). Money and the Real World. 2nd edn. London: Macmillan.CrossRefGoogle Scholar
Davidson, P. (1994). Post Keynesian Macroeconomic Theory. Aldershot: Edward Elgar.Google Scholar
Davidson, P. (1996). Did Keynes reverse the Marshallian speeds of adjustment? Using Harcourt's method to resolve theoretical controversies and gain insight into the real world. In Capital Controversy, Post Keynesian Economics and the History of Economic Thought, eds. Arestis, P., Palma, G. and Sawyer, M.. London: Routledge.Google Scholar
Davis, J. B. (2005). Complexity theory's network conception of the individual. Marquette University Working Paper, Marquette University, Milwaukee, WI.Google Scholar
Day, R. H. and Chen, P., eds. (1993). Nonlinear Dynamics and Evolutionary Economics. Oxford, UK: Oxford University Press..Google Scholar
Vries, J. (1994). The industrial revolution and the industrious revolution. Journal of Economic History, 54(2).CrossRefGoogle Scholar
Del Negro, M. and Schorfheide, F. Forthcoming. Priors from general equilibrium models for VARs. International Economic Review.
Demiralp, S. and Hoover, K. D. (2004). Searching for the causal structure of a vector autoregression. Oxford Bulletin of Economics and Statistics, 65.Google Scholar
Dennis, J., Johansen, S. and Juselius, K. (2005). CATS for RATS: Manual to Cointegration Analysis of Time Series. Illinois: Estima.Google Scholar
Derrida, B. (1994). From random walks to spin glasses. Physica D, 107.Google Scholar
Diamond, P. (1982). Aggregate demand management in search equilibrium. Journal of Political Economy, 90.CrossRefGoogle Scholar
Diebold, F. (1998). The past, present and future of macroeconomic forecasting. Journal of Economic Perspectives, 12, Spring.CrossRefGoogle Scholar
Dierker, E. and Grodal, B. (1986). Non existence of Cournot-Walras equilibrium in a general equilibrium model with two oligopolists. In Contributions to Mathematical Economics, in Honor of Gerard Debreu, eds. Hildenbrand, W. and Mas-Colell, A.. Amsterdam: North-Holland.Google Scholar
Ding, Z., Granger, C. and Engle, R. F. (1993). A long memory property of stock market returns and a new model. Journal of Empirical Finance, 1.CrossRefGoogle Scholar
Doppelhofer, G., Miller, R. and Sala-i-Martin, X. (2000). Determinants of long-term growth: a Bayesian averaging of classical estimates (BACE) approach. Working Paper 7750, National Bureau of Economic Research, Cambridge, MA.Google Scholar
Draper, D. (1995). Assessment and propagation of model uncertainty. Journal of the Royal Statistical Society (series B), 57.Google Scholar
Duesenberry, J. (1948). Income-consumption relations and their implications. In Income, Employment and Public Policy, ed. Metzler, L.. New York: Norton Publishers.Google Scholar
Duffy, J. and Fisher, E. O'N. (2004). Sunspots in the laboratory. SSRN Working Paper.Google Scholar
Dufwenberg, M. and Kirchsteiger, G. (2004). Forthcoming. A theory of sequential reciprocity. Games and Economic Behavior.Google Scholar
Dupor, W. (1999). Aggregation and irrelevance in multi-sector models. Journal of Monetary Economics, 43.CrossRefGoogle Scholar
Durlauf, S. (1993). Nonergodic economic growth. Review of Economic Studies, 60(2).CrossRefGoogle Scholar
Durlauf, S. (1996). A theory of persistent income inequality. Journal of Economic Growth, 1(1).CrossRefGoogle Scholar
Durlauf, S. (2001). A framework for the study of individual behavior and social interactions. Sociological Methodology, 31.Google Scholar
Durlauf, S. (2004). Neighborhood effects. In Handbook of Regional and Urban Economics, Vol. 4, eds. Henderson, J. V. and Thisse, J.-F.. Amsterdam: North-Holland.Google Scholar
Durlauf, S. N. and Young, H. P., eds. (2001). Social Dynamics. Cambridge, MA: MIT Press.Google Scholar
Durlauf, S., Johnson, P. and Temple, J. (2004). Growth econometrics. In Handbook of Economic Growth, eds. Aghion, P. and Durlauf, S.. Amsterdam: North-Holland.Google Scholar
Dyson, F. (2004). The world on a string. New York Review of Books, 51(8), May.Google Scholar
Eckel, B. (2003). Thinking in Java, 3rd edn. NJ: Prentice Hall.Google Scholar
Ekeland, I., Heckman, J. and Nesheim, L. (2002). Identifying hedonic models. American Economic Review, 92(2).CrossRefGoogle Scholar
Ekeland, I., Heckman, J. and Nesheim, L. (2004). Identification and estimation of Hedonic models. Journal of Political Economy, 112(suppl. 1).CrossRefGoogle Scholar
Elster, J. (1998). Emotions and economic theory. Journal of Economic Literature, 36.Google Scholar
Engle, R. F., Hendry, D. F. and Richard, J. F. (1983). Exogeneity. Econometrica, 55(2).Google Scholar
Epstein, J. M. (2006). Remarks on the foundations of agent-based generative social science. In Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics Handbooks in Economic Series, Amsterdam: North-Holland.Google Scholar
Epstein, J. M. and Axtell, R. (1996). Growing Artificial Societies: Social Science from the Bottom Up. Washington, DC/Cambridge, MA: Brookings Institution Press/MIT Press.Google Scholar
Epstein, L. and Wang, T. (1994). Intertemporal asset pricing behavior under Knightian uncertainty. Econometrica, 62.CrossRefGoogle Scholar
Ericsson, N. and Irons, J. (1995). The Lucas critique in practice: theory without measurement. In Macroeconometrics: Developments, Tensions and Prospects, ed. Hoover, K. D.. Boston: Kluwer.CrossRefGoogle Scholar
Estrella, A. and Fuhrer, J. C. (1999). Are ‘deep’ parameters stable? The Lucas critique as an empirical hypothesis. Working Paper no. 99-4. Federal Reserve Bank of Boston.Google Scholar
Evans, G. W. and Honkapohja, S. (2001). Learning and Expectations in Macroeconomics. Princeton, NJ: Princeton University Press.CrossRefGoogle Scholar
Evans, G. W. and Ramey, G. (2003). Adaptive expectations, underparameterization and the Lucas critique. Journal of Monetary Economics, 53.Google Scholar
Evans, G. W., Oates, W. and Schwab, R. (1992). Measuring peer group effects: a study of teenage behavior. Journal of Political Economy, 100(5).CrossRefGoogle Scholar
Evans, G. W., Honkapohja, S. and Sargent, T. J. (1993). On the preservation of deterministic cycles when some agents perceive them to be random fluctuations. Journal of Economic Dynamics and Control, 17.CrossRefGoogle Scholar
Ewens, W. J. (1990). Population genetics theory—the past and future. In Mathematical and Statistical Problems in Evolution, ed. Lessard, S.. Boston: Kluwer Academic Publishing.Google Scholar
Fagiolo, G., Dosi, G. and Gabriele, R. (2004). Towards an Evolutionary Interpretation of Aggregate Labor Market Regularities, Sant'Anna School of Advanced Studies Working Paper. Sant' Anna School of Advanced Studies.Google Scholar
Faith, J. (1998). Why gliders don't exist: anti-reductionism and emergence. In Artificial Life VI, eds. Adami, C., Belew, R. K., Kitano, H. and Taylor, C. E.. Cambridge, MA: MIT Press.Google Scholar
Falk, A. and Fehr, E. (2003). Why labor market experiments?Journal of Labour Economics, 1(10).Google Scholar
Fang, H. and Loury, G. (2004). Mimeo. Toward an Economic Theory of Cultural Identity. Yale University.Google Scholar
Farmer, R. and Guo, J.-T. (1994). Real business cycles and the animal spirits hypothesis. Journal of Economic Theory, 63(2).CrossRefGoogle Scholar
Fazzari, S. M. (1985). Keynes, Harrod and the rational expectations revolution. Journal of Post Keynesian Economics, 8, Fall.CrossRefGoogle Scholar
Fehr, E. and Gächter, S. (2000). Cooperation and punishment in public goods experiments. American Economic Review, 90.CrossRefGoogle Scholar
Fehr, E. and Gächter, S. (2004). Third party punishment. Evolution and Human Behavior, 25.CrossRefGoogle Scholar
Fehr, E. and Tyran, J.-R. (2001). Does money illusion matter?American Economic Review, 91.CrossRefGoogle Scholar
Fehr, E., Kirchsteiger, G. and Riedl, A. (1996). Involuntary unemployment and non-compensating wage differentials in an experimental labor market. Economic Journal, 106.CrossRefGoogle Scholar
Fehr, E., Gächter, S. and Kirchsteiger, G. (1996). Reciprocal fairness and noncompensating wage differentials. Journal of Institutional and Theoretical Economics, 142.Google Scholar
Fehr, E., Fischbacher, U. and Kosfeld, M. (2005). Neuroeconomic foundations of trust and social preferences. IZA Working Paper No. 1641.Google Scholar
Feigelman, M. V. and Ioffe, L. B. (1991). Hierarchical organization of memory. In Models of Neural Networks, eds. Domany, E., Hemmen, J. L. and Lessard, S.. Berlin and New York: Springer-Verlag.CrossRefGoogle Scholar
Feiwel, R. G. (1985). Quo vadis macroeconomics? Issues, tensions and challenges. In Issues in Contemporary Macroeconomics and Distribution, ed. Feiwel, G. R.. State University of New York, Albany, pp. 1–100.CrossRefGoogle Scholar
Felipe, J. and Fisher, F. M. (2003). Aggregation in production functions: what applied economists should know. Metroeconomica, 54.CrossRefGoogle Scholar
Fernandez, C., Ley, E. and Steel, M. (2001a). Benchmark priors for Bayesian model averaging. Journal of Econometrics, 100(2).CrossRefGoogle Scholar
Fernandez, C., Ley, E. and Steel, M. (2001b). Model uncertainty in cross-country growth regressions. Journal of Applied Econometrics, 16(5).CrossRefGoogle Scholar
Feynman, R. (1995). Six Easy Pieces: Essentials of Physics Explained by its most Brilliant Teacher. Reading, MA: Addison-Wesley.Google Scholar
Finch, J. H. and McMaster, R. (2004). On the paths of classical political economy and Walrasian economics through post Walrasian economics. University of Aberdeen Economics Working Paper. University of Aberdeen, Aberdeen, Scotland.Google Scholar
Fisher, M. F. (1983). Disequilibrium Foundations of Equilibrium Economics, Econometric Society Monographs No. 6. Cambridge, UK: Cambridge University Press.CrossRefGoogle Scholar
Fisher, I. (1906). The Nature of Capital and Income. New York: Macmillan.Google Scholar
Fisher, I. (1907). The Rate of Interest, Its Nature, Determination and Relation to Economic Phenomena. New York: Macmillan.Google Scholar
Fisher, I. (1930). The Theory of Interest as Determined by Impatience to Spend and Opportunity to Invest. New York: Macmillan.Google Scholar
Flake, G. W. (1998). The Computational Beauty of Nature: Computer Explorations of Fractals, Chaos, Complex Systems and Adaptation. Cambridge, MA: MIT Press.Google Scholar
Föllmer, H., Horst, U. and Kirman, A. (2005). Equilibria in financial markets with heterogeneous agents: a new perspective. Journal of Mathematical Economics, 41, 123–55.CrossRefGoogle Scholar
Föllmer, H. (1974). Random economies with many interacting agents. Journal of Mathematical Economics, 1(1), 51–62, MarchCrossRefGoogle Scholar
Frank, R. (1987). If Homo economicus could choose his own utility function, would he want one with a conscience?American Economic Review, 77.Google Scholar
Franklin, S. (1997a). Autonomous agents as embodied AI. Cybernetics and Systems, 28.CrossRefGoogle Scholar
Franklin, S. (1997b). Artificial Minds. Cambridge, MA: MIT Press.Google Scholar
Frederick, S., Loewenstein, G. and O'Donoghue, T. (2002). Intertemporal choice: a critical review. Journal of Economic Literature, 40.Google Scholar
Friedman, M. (1948). A monetary and fiscal framework for economic stability. American Economic Review, 384.Google Scholar
Friedman, M. (1949). The Marshallian demand curve. Journal of Political Economy, 57.CrossRefGoogle Scholar
Friedman, M. (1953a). The case for flexible exchange rates. In Essays in Positive Economics. Chicago, IL: University of Chicago Press.Google Scholar
Friedman, M. (1953b). The methodology of positive economics. In Essays in Positive Economics. Chicago, IL: Chicago University Press.Google Scholar
Friedman, M. (1955). Leon Walras and his economic system: a review article. American Economic Review, 45.Google Scholar
Friedman, M. (1968). The role of monetary policy. American Economic Review, 58, March, 1–17.Google Scholar
Friedman, M. (1970a). The counterrevolution in monetary theory, Occasional Paper No 33, Institute of Economic Affairs.Google Scholar
Friedman, M. (1970b). A theoretical framework for monetary analysis. Journal of Political Economy, 78, March/April.CrossRefGoogle Scholar
Friedman, M. (1971). A monetary theory of nominal income. Journal of Political Economy, 79, March/April.CrossRefGoogle Scholar
Friedman, M. (1972). Comments on the critics. Journal of Political Economy, 80(5), September, OctoberCrossRefGoogle Scholar
Friedman, M. and Meiselman, D. (1963). The relative stability of monetary velocity and the investment multiplier in the United States, 1897–1958. In Stabilization Policies, Commission on Money and Credit. New York: Prentice Hall.Google Scholar
Friedman, M. and Schwartz, A. (1963). Money and business cycles. Review of Economics and Statistics. (suppl.), February.Google Scholar
Frisch, R. (1933). Editor's note. Econometrica, 1.Google Scholar
Frisch, R. (1954). Linear expenditure functions: an expository article. Econometrica, 22.CrossRefGoogle Scholar
Frydman, R. and Phelps, E. S., eds. (1983). Individual Forecasting and Aggregate Outcomes: Rational Expectations Examined. New York: Cambridge University Press.Google Scholar
Fudenberg, D. and Levine, D. K. (1998). The Theory of Learning in Games. Cambridge, MA: MIT Press.Google Scholar
Fuhrer, J. C. (1997). The (un)importance of forward-looking behavior in price specifications. Journal of Money, Credit and Banking, 29, August.CrossRefGoogle Scholar
Fuhrer, J. C. and Rudebusch, G. D. (2003). Estimating the Euler equation for output. Journal of Monetary Economics, 51 (publication date 2004).Google Scholar
Gabaix, X. (2004). Mimeo. The Granular Origins of Aggregate Fluctuations. MIT, Cambridge, MA.Google Scholar
Gali, J. and Gertler, M. (1999). Inflation dynamics: a structural econometric analysis. Journal of Monetary Economics, 44(2).CrossRefGoogle Scholar
Gallant, A. R., Rossi, P. E. and Tauchen, G. (1992). Stock prices and volume. The Review of Financial Studies, 5.CrossRefGoogle Scholar
Gallant, A. R., Rossi, P. E. and Tauchen, G. (1993). Nonlinear dynamic structures. Econometrica, 61.CrossRefGoogle Scholar
Gartaganis, A. J. (1954). Autoregression in the United States economy 1870–1929. Econometrica, 22.CrossRefGoogle Scholar
Geanakoplos, J., Pearce, D. and Stacchettti, E. (1989). Psychological games and sequential rationality. Games and Economic Behavior, 1.CrossRefGoogle Scholar
Geanakoplos, J. (1996). The Hangman's Paradox and Newcomb's Paradox as psychological games. Cowles Foundation Discussion Paper No. 1128.Google Scholar
Giannoni, M. (2001). Mimeo. Robust Optimal Monetary Policy in a Forward-Looking Model with Parameter and Shock Uncertainty. Federal Reserve Bank of New York.Google Scholar
Giannoni, M. (2002). Does model uncertainty justify caution? Robust optimal monetary policy in a forward-looking model. Macroeconomic Dynamics, 6.CrossRefGoogle Scholar
Gibrat, R. (1931). Les Inegalieies Economiques; Applications: Aux Inegalities des Richesses, a la Concentartion des Entreprises, Aux Populations des Villes, Aux Statistiques des Families, etc., d'une Loi Nouvelle, La Loi de l'Effet Proportionnel. Paris: Librarie du Recueil Sirey.Google Scholar
Gigerenzer, G. and Selten, R., eds. (2001). Bounded Rationality: The Adaptive Toolbox. Cambridge, MA: MIT Press.Google Scholar
Gilboa, I. and Schmeidler, D. (1989). Maximin expected utility with non-unique priors. Journal of Mathematical Economics, 18.CrossRefGoogle Scholar
Gillespie, R. P. (1951). Integration, London: Oliver and Boyd.Google Scholar
Gintis, H. (2000). Game Theory Evolving. Princeton, NJ: Princeton University Press.Google Scholar
Girshick, M. A. and Haavelmo, T. (1947). Statistical analysis of the demand for food: examples of simultaneous estimation of structural equations. Econometrica, 15, 79–110. Reprinted in Studies in Econometric Method, Chapter V, eds. Hood, W. C. and Koopmans, T. C.. New York, NY: John Wiley & Sons (1953).Google Scholar
Glaeser, E., Sacerdote, B. and Scheinkman, J. (1996). Crime and social interactions. Quarterly Journal of Economics, 111(2).CrossRefGoogle Scholar
Glimcher, P. W. (2003). Decisions, Uncertainty and the Brain: The Science of Neuroeconomics. Cambridge, MA: MIT Press.Google Scholar
Gode, D. K. and Sunder, S. (1993). Allocative efficiency of markets with zero intelligence traders. Journal of Political Economy, 101.CrossRefGoogle Scholar
Gode, D. K. and Sunder, S. (2004). Double auction dynamics: structural effects of non-binding price controls. Journal of Economic Dynamics and Control, 28.CrossRefGoogle Scholar
Goeree, J. and Holt, C. (2001). Ten little treasures of game theory and ten intuitive contradictions. American Economic Review, 91.CrossRefGoogle Scholar
Goldberger, A. S. (1964). Econometric Theory. New York, NY: John Wiley & Sons.Google Scholar
Goodhart, C. A. E. (1984). Monetary Theory and Practice: the U.K. Experience. London: Macmillan.CrossRefGoogle Scholar
Graham, B. (2005). Mimeo. Identifying Social Interactions through Excess Variance Contrasts. Cambridge, MA: Harvard University.Google Scholar
Graham, B. and Hahn, J. (2004). Mimeo. Identification and Estimation of Linear-in-Means Model of Social Interactions. Department of Economics, Harvard University.Google Scholar
Grandmont, J.-M. (1985). On endogenous competitive business cycles. Econometrica, 53.CrossRefGoogle Scholar
Grandmont, J.-M., Pintus, P. and DeVilder, R. (1998). Capital labor substitution and nonlinear endogenous business cycles. Journal of Economic Theory, 80.CrossRefGoogle Scholar
Green, E. (2005). A review of interest and prices: a foundation of monetary theory by Michael Woodford. Journal of Economic Literature, 43(1) March.CrossRefGoogle Scholar
Greenspan, A. (2004). Risk and uncertainty in monetary policy. BIS Review, 1.Google Scholar
Guo, J. T. and Harrison, S. (2004). Balanced-budget rules and macroeconomic (in)stability. Journal of Economic Theory, http://faculty.ucr.edu/guojt/CrossRefGoogle Scholar
Guzik, V. (2004). Contextual Framing Effects in a Common Pool Resource Experiment. Middlebury College Senior Honors Thesis. Middlebury College, Middlebury, VT.Google Scholar
Haavelmo, T. (1943). Statistical implications of a system of simultaneous equations. Econometrica, 11.CrossRefGoogle Scholar
Haavelmo, T. (1944). The Probability Approach in Econometrics. Econometrica, 12.Google Scholar
Haavelmo, T. (1947). Methods of measuring the marginal propensity to consume. Journal of the American Statistical Association, 42.CrossRefGoogle Scholar
Haken, H. (1987). Synergetics: An Approach to Self Organization. In Self-organzing systems: The emergence of order, ed. Yates., F. E.Berlin: Plenum Press.CrossRefGoogle Scholar
Hansen, L. and Jagannathan, R. (1991). Implications of security market data for models of dynamic economies. Journal of Political Economy, 99.CrossRefGoogle Scholar
Hansen, L. and Sargent, T. (1980). Formulating and estimating dynamic linear rational expectations models. Journal of Economic Dynamics and Control, 2.CrossRefGoogle Scholar
Hansen, L. and Sargent, T. (2001). Acknowledging misspecification in macroeconomic theory. Review of Economic Dynamics, 4.CrossRefGoogle Scholar
Hanse, L. and Sargent, T. (2003a). Forthcoming. Robust Control and Economic model Uncertainty. Princeton, NJ: Princeton University Press. Also book manuscript, Hoover Institution, Stanford University, Stanford, CA.Google Scholar
Hansen, L. and Sargent, T. (2003b) Robust control of forward looking models. Journal of Monetary Economics, 50, April.CrossRef
Hansen, L. and Singleton, K. (1982). Generalized instrumental variables estimation of nonlinear rational expectations models. Econometrica, 50.CrossRefGoogle Scholar
Harrod, R. F. (1939). An essay in dynamic theory. Economic Journal, 49, March.CrossRefGoogle Scholar
Hart, O. (1995). Firms, Contracts and Financial Structure. Oxford: Oxford University Press.CrossRefGoogle Scholar
Hartley, J. E., Hoover, K. D. and Salyer, K. D., eds. (1998). Real Business Cycles: A Reader. London: Routledge.Google Scholar
Hayek, F. A., (1937). Economics and knowledge. Economica, 4, new series.Google Scholar
Hayek, F. A., (1945). The use of knowledge in society. American Economic Review, 35(4).Google Scholar
Hayek, F. A., (1964). Kinds of order in society. New Individualist Review, 3(2).Google Scholar
Heckman, J. (1979). Sample selection bias as a specification error. Econometrica, 47(1).CrossRefGoogle Scholar
Hendry, D. F. (1995). Dynamic Econometrics. Oxford: Oxford University Press.CrossRefGoogle Scholar
Hendry, D. F. and Ericsson, N. R. (1991). An econometric analysis of UK money demand. In Monetary Trends in the United States and the United Kingdom, eds. Friedman, M. and Schwartz, A. J.. American Economic Review, 81, 8–38.Google Scholar
Hendry, D. F. and Krolzig, H. M. (1999). Improving on ‘Data mining reconsidered’ by K. D. Hoover and S. J. Perez. Econometrics Journal, 2.CrossRefGoogle Scholar
Hendry, D. F. and Krolzig, H. M. (2001). Automatic Econometric Model Selection Using PcGets 1.0. London: Timberlake Consultants.Google Scholar
Henrich, J., Boyd, R., Bowles, S., Camerer, C., Fehr, E., Gintis, H. and McElreath, R. (2001). Cooperation, reciprocity and punishment in fifteen small-scale societies. American Economic Review, 91.Google Scholar
Hey, J. D. and di Cagno, D. (1998). Sequential markets: An experimental investigation of Clower's dual-decision hypothesis. Experimental Economics, 1.CrossRefGoogle Scholar
Hicks, J. (1936). Mr. Keynes's theory of employment. Economic Journal, 46, June.CrossRefGoogle Scholar
Hicks, J. (1937). Mr. Keynes and the classics: a suggested interpretation. Econometrica, 5.CrossRefGoogle Scholar
Hicks, J. (1939). Value and Capital. Oxford: Oxford University Press.Google Scholar
Hicks, J. (1965). Capital and Growth. Oxford: Oxford University Press.Google Scholar
Hicks, J. (1980). IS-LM: an explanation. Journal of Post Keynesian Economics, 3(2).CrossRefGoogle Scholar
Hicks, J. (1983). IS-LM: an explanation. In Modern Macroeconomic Theory, ed. Fitoussi, J.-P.. Oxford: Basil Blackwell.Google Scholar
Hicks, J. (1989). A Market Theory of Money. Oxford: Clarendon Press.CrossRefGoogle Scholar
Hirshleifer, J. (1958). On the theory of optimal investment decisions. Journal of Political Economy, 66(4), August.CrossRefGoogle Scholar
Hirshleifer, J. (1970). Investment, Interest and Capital. New York: Prentice-Hall.Google Scholar
Holland, J. H. (1995). Hidden Order: How Adaptation Builds Complexity. Reading, MA: Addison-Wesley.Google Scholar
Hommes, C. H. and Sorger, G. (1998). Consistent expectations equilibria. Macroeconomic Dynamics, 2.Google Scholar
Hommes, C. H., Sorger, G. and Wagener, F. (2003). Mimeo. Learning to Believe in Linearity in an Unknown Nonlinear Stochastic Economy.Google Scholar
Hood, W. C. and Koopmans, T. C., eds. (1953). Studies in Econometric Method. Cowles Commission Monograph 14. New York: Wiley.Google Scholar
Hoover, K. D. (1988). The New Classical Macroeconomics: A Skeptical Inquiry. Cambridge, MA: Basil Blackwell.Google Scholar
Hoover, K. D. (1995). Facts and artifacts: calibration and the empirical assessment of real-business-cycle models. Oxford Economic Papers, 47.CrossRefGoogle Scholar
Hoover, K. D. (2001). Causality in Macroeconomics. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Hoover, K. D. (2004). Lost causes. Journal of the History of Economic Thought, 26.CrossRefGoogle Scholar
Hoover, K. D. (2005). Forthcoming. Automatic Inference of the Contemporaneous Causal Order of a System of Equation. Econometric Theory, 21(1).CrossRefGoogle Scholar
Hoover, K. D. and Jorda, O. (2001). Measuring Systematic Monetary Policy. Federal Reserve Bank of St. Louis Review, 83.Google Scholar
Hoover, K. D. and Perez, S. J. (1999). Data mining reconsidered: encompassing and the general-to-specific approach to specification search. Econometrics Journal, 2.CrossRefGoogle Scholar
Hoover, K. D. and Perez, S. J. (2004). Truth and robustness in cross-country growth regressions. Oxford Bulletin of Economics and Statistics, 66(5).CrossRefGoogle Scholar
Horst, U. and Scheinkman, J. (2004). Mimeo. Equilibria in Systems of Social Interactions. Princeton University, Princeton, NJ.Google Scholar
Horvath, M. (1998). Cyclicality and sectoral linkages: aggregate fluctuations from independent sectoral shocks. Review of Economic Dynamics, 1.CrossRefGoogle Scholar
Horvath, M. (2000). Sectoral shocks and aggregate fluctuations. Journal of Monetary Economics, 45.CrossRefGoogle Scholar
Houthakker, H. S. (1960). Additive preferences. Econometrica, 28.CrossRefGoogle Scholar
Howitt, P. (1990). The Keynesian Recovery and Other Essays. Ann Arbor, MI: The University of Michigan Press.CrossRefGoogle Scholar
Howitt, P. (1992). Interest rate control and nonconvergence to rational expectations. Journal of Political Economy, 100, August.CrossRefGoogle Scholar
Howitt, P. (1996). Cash-in-advance: microfoundations in retreat. In Inflation, Institutions, and Information, eds. Vaz, D.. and Velupillai, K.. London: Macmillan.CrossRefGoogle Scholar
Hurwicz, L. (1951). Some specification problems and applications to econometric models. Econometrica, 19.Google Scholar
Ichimura, S. (1951). A critical note on the definition of related goods. Review of Economic Studies, 18.Google Scholar
Ingber, L. (1982). Statistical mechanics of neocortical interactions. Physica A, 5.Google Scholar
Ingram, B. F. (1995). Recent advances in solving and estimating dynamic macroeconomic models. In Macroeconometrics: Developments, Tensions and Prospect, ed. Hoover, K. D.. Boston: Kluwer.CrossRefGoogle Scholar
Ingram, B. and Whiteman, C. (1994). Supplanting the ‘Minnesota’ prior: forecasting macroeconomic time series using real business cycle priors. Journal of Monetary Economics, 34(3), December.CrossRefGoogle Scholar
Intriligator, M. D. and Kendrick, D. A. (1974). Frontiers of Quantitative Economics, Vol II, Amsterdam, NETH: North-Holland Publishing Company.Google Scholar
Ioannides, Y. (1990). Trading uncertainty and market form. International Economic Review, 31(3).CrossRefGoogle Scholar
Ioannides, Y. and Zabel, J. (2003a). Neighborhood effects and housing demand. Journal of Applied Econometrics, 18.CrossRefGoogle Scholar
Ioannides, Y. and Zabel, J. (2003b). Mimeo. Interactions, Neighborhood Selection and Housing Demand. Department of Economics, Tufts University, Medford, MA.Google Scholar
Ireland, P. (2001a). Technology shocks and the business cycle: an empirical investigation. Journal of Economic Dynamics and Control, 25.CrossRefGoogle Scholar
Ireland, P. (2001b). Money's role in the monetary business cycle. Journal of Money, Credit and Banking, 36(6).Google Scholar
Ireland, P. (2004). A method for taking models to the data. Journal of Economic Dynamics and Control, 28.CrossRefGoogle Scholar
Irwin, E. and Bockstaed, N. (2002). Interacting agents, spatial externalities and the evolution of residential land use patterns. Journal of Economic Geography, 2.CrossRefGoogle Scholar
Janssen, M. A. and Ostrom, E. (2006). Governing social-ecological systems. In Hand Book of Computational Economics, Vol. 2: Agent-Based Computational Economics Handbooks in Economic Series. Amsterdam: North-Holland.Google Scholar
Jennings, N. R. (2000). On agent-based software engineering. Artificial Intelligence, 17.Google Scholar
Johansen, S. (1996). Likelihood Based Inference in Cointegrated VAR Models. Oxford: Oxford University Press.Google Scholar
Johansen, S. (2005). The interpretation of cointegrating coefficients in the cointegrated VAR model, Oxford Bulletin of Economics and Statistics, 67, 93–104.CrossRefGoogle Scholar
Johnson, A. (2001). Emergence: The Connected Lives of Ants, Brains, Cities and Software. New York: Scribner.Google Scholar
Jonson, P. (1996). On the economics of Say and Keynes' interpretation of Say's Law. Eastern Economic Journal, 21, Spring.Google Scholar
Jordan, J. S. (1982). The competitive allocation process is informationally efficient uniquely. Journal of Economic Theory, 28.CrossRefGoogle Scholar
Jovanovic, B. (1987). Micro shocks and aggregate risk. Quarterly Journal of Economics, 102.CrossRefGoogle Scholar
Judd, K. (1997). Computational economics and economic theory: substitutes or complements?Journal of Economic Dynamics and Control, 21(6).CrossRefGoogle Scholar
Judd, K. (1998). Numerical Methods in Economics. Cambridge, MA: MIT Press.Google Scholar
Judd, K. (2006). Computationally intensive analyses in economics. In Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics Handbooks in Economic Series. Amsterdam: North-Holland.Google Scholar
Juselius, K. (1999). Models and relations in economics and econometrics. Journal of Economic Methodology, 6.CrossRefGoogle Scholar
Juselius, K. (2005). The Cointegrated VAR Model: Methodology and Applications, Oxford University Press.Google Scholar
Kahneman, D. and Tversky, A. (1979). Prospect theory: an analysis of decisions under risk. Econometrica, 47.CrossRefGoogle Scholar
Kahneman, D., Knetsch, J. L. and Thaler, R. H. (1990). Experimental tests of the endowment effect and the Coase theorem. Journal of Political Economy, 86.Google Scholar
Kalai, E. and Lerner, E. (1993). Rational learning leads to Nash equilibrium. Econometrica, 61(5).CrossRefGoogle Scholar
Kamihigashi, T. (1996). Real business cycles and sunspot fluctuations are observationally equivalent, Journal of Monetary Economics, 37.CrossRefGoogle Scholar
Kapetanios, G., Pagan, A. and Scott, A. (2005). Making a match: combining theory and evidence in policy oriented macro economic modeling. Australian National University Working Paper CAMA.
Katzner, D. (1989). The Walrasian Vision of the Microeconomy: an Elementary Exposition of the Structure of Modern General Equilibrium Theory. Ann Arbor, MI: University of Michigan Press.Google Scholar
Kelly, M. (1997). The dynamics of Smithian growth. Quarterly Journal of Economics, 112(3).CrossRefGoogle Scholar
Keynes, J. M. (1921). A Treatise on Probability. London: Macmillan.Google Scholar
Keynes, J. M. (1926). The End of Laissez Faire. London: Hogarth.Google Scholar
Keynes, J. M. (1930). A Treatise on Money. 2 Vols. (Vol. 1: The Pure Theory of Money; Vol. 2: The Applied Theory of Money). London: Macmillan and Co. Limited.Google Scholar
Keynes, J. M. (1936). The General Theory of Employment, Interest and Money. New York: Harcourt, Brace (Reprinted in 1965).Google Scholar
Keynes, J. M. (1939). Professor Tinbergen's method. Economic Journal, 49.Google Scholar
King, M. (1997). Changes in UK monetary policy: rules and discretion in practice. Journal of Monetary Economics, 39, June.CrossRefGoogle Scholar
Kingman, J. F. C. (1978). The representation of partition structure. Journal of London Mathematics Society, 18.Google Scholar
Kingman, J. F. C. and Schalten, K., eds. (1978). Random partitions in population genetics. Proceedings of the Royal Society, Series A. London.Google Scholar
Kirman, A. P. (1983a). Mistaken beliefs and resultant equilibria. In Individual Forecasting and Collective Outcomes, eds. Frydman, R. and Phelps, E.. Cambridge University Press.Google Scholar
Kirman, A. P. (1983b). Communication in markets: a suggested approach. Economic Letters, 12(2).CrossRefGoogle Scholar
Kirman, A. P. (1991). Epidemics of opinion and speculative bubbles in financial markets. In Money and Financial Markets, Chapter 17, ed. Taylor, M.. London: Macmillan.Google Scholar
Kirman, A. P. (1992). Whom or what does the representative agent represent?Journal of Economic Perspectives, 6(2).CrossRefGoogle Scholar
Kirman, A. P. (1993). Ants, rationality and recruitment. Quarterly Journal of Economics, 108.CrossRefGoogle Scholar
Kirman, A. P. (1997). The economy as an interactive system. In The Economy as an Evolving Complex System II, eds. Arthur, W. B., Durlauf, S. N. and Lane, D. A.. Proceedings Volume XXVII, Santa Fe Institute Studies in the Sciences of Complexity. Reading, MA: Addison-Wesley.Google Scholar
Kirman, A. P. and Teyssiere, G. (1998). Microeconomic Models for Long-Memory in the Volatility of Financial Time Series, Technical report, EHESS, Universite d'Aix-Marseille III, Marseille, France.Google Scholar
Klein, L. R. (1950). Economic Fluctuations in the United States, 1921–1941. Cowles Commission Monograph 11. New York, NY: John Wiley & Sons.Google Scholar
Klein, L. R. (1960). Single equation vs equation system methods of estimation in econometrics. Econometrica, 28(4).Google Scholar
Klein, L. R. and Rubin, H. (1947). A constant-utility cost of living index. Review of Economic Studies, 15.CrossRefGoogle Scholar
Klemperer, P. (2002a). What really matters in auction design. Journal of Economic Perspectives, 16.CrossRefGoogle Scholar
Klemperer, P. (2002b). Using and abusing economic theory. Alfred Marshall Lecture to the European Economic Association, December. http://www.paulklemperer.org/Google Scholar
Knack, S. and Keefer, P. (1997). Does social capital have an economic payoff? A cross-country investigation. Quarterly Journal of Economics, 112(4).CrossRefGoogle Scholar
Kocherlakota, N. (1996). The equity premium: it's still a puzzle. Journal of Economic Literature, 34.Google Scholar
Koesrindartoto, D. and Tesfatsion, L. (2004). Testing the economic reliability of FERC's wholesale power market platform: an agent-based computational economics approach. In Energy, Environment and Economics in a New Era, Proceedings of the 24th USAEE/IAEE North American Conference, Washington DC, July.Google Scholar
Koopmans, T. C. (1949). Identification problems in economic model construction. Econometrica, 17. Reprinted in Hood and Koopmans (1953).CrossRefGoogle Scholar
Koopmans, T. C., ed. (1950). Statistical Inference in Dynamic Economic Models. Cowles Commission Monograph 10. New York: Wiley.Google Scholar
Koopmans, T. C. and Hood, W. C. (1953). The estimation of simultaneous linear relationships. Studies in Econometric Method. Cowles Commission Monograph 14. New York: Wiley.Google Scholar
Koopmans, T. C. and Reiersøl, O. (1950). The identification of structural characteristics. Annals of Mathematical Statistics, 21.CrossRefGoogle Scholar
Krauth, B. (2003). Mimeo. Peer Effects and Selection Effects on Youth Smoking in California. Simon Fraser University, Burnaby, BC, Canada.Google Scholar
Krauth, B. (2004). Mimeo. Simulation-Based Estimation of Peer Effects. Simon Fraser University, Burnaby, BC, Canada.Google Scholar
Krugman, P. (1996). The Self-Organizing Economy. Cambridge, UK: Blackwell Publishers.Google Scholar
Krugman, P. (1998). It's back: Japan's slump and the return of the liquidity trap. Brookings Papers on Economic Activity, (2).CrossRefGoogle Scholar
Krusell, P. and Smith, A. (1998). Income and wealth heterogeneity in the macroeconomy. Journal of Political Economy, 106(5).CrossRefGoogle Scholar
Kuhn, T. (1962). The Structure of Scientific Revolutions. Chicago: University of Chicago Press.Google Scholar
Kurz, M. (1997). Endogenous Economic Fluctuations: Studies in the Theory of Rational Beliefs. New York: Springer-Verlag.Google Scholar
Kwakernaak, H. and Sivan, R. (1972). Linear Optimal Control Systems. New York: John Wiley and Sons.Google Scholar
Kydland, F. E. and Prescott, E. C. (1977). Rules rather than discretion: the inconsistency of optimal plans. Journal of Political Economy, 85, June.CrossRefGoogle Scholar
Kydland, F. E. and Prescott, E. C. (1982). Time to build and aggregate fluctuations. Econometrica, 50.CrossRefGoogle Scholar
Laidler, D. E. W. (1999). Fabricating the Keynesian revolution: studies of the inter-war literature on money, the cycle and unemployment. Historical Perspectives on Modern Economics. New York and Cambridge: Cambridge University Press.Google Scholar
Laidler, D. E. W. and Robson, W. B. P. (2004). Two Percent Target: Canadian Monetary Policy Since 1991. Toronto, Canada: C. D. Howe Institute.Google Scholar
Landes, D. (1998). The Wealth and Poverty of Nations. New York: W. W. Norton.Google Scholar
Lange, O. (1940). Complementarity and interrelations of shifts in demand. Review of Economic Studies, 8.CrossRefGoogle Scholar
Leamer, E. (1978). Specification Searches. New York: John Wiley and Sons.Google Scholar
Leamer, E. E. (1985). Vector autoregressions for causal inference. In Understanding Monetary Regime, eds. Brunner, K. and Meltzer, A. H.. Carnegie-Rochester Conference Series on Public Policy, Vol. 22, Spring. Amsterdam: North-Holland.Google Scholar
LeBaron, B. (2001a). A builder's guide to agent-based financial markets. Quantitative Finance, 1.CrossRefGoogle Scholar
LeBaron, B. (2001b). Evolution and time horizons in an agent-based stock market. Macroeconomic Dynamics, 5.CrossRefGoogle Scholar
LeBaron, B. (2001c). Empirical regularities from interacting long and short memory investors in an agent based stock market. IEEE Transactions on Evolutionary Computation, 5.CrossRefGoogle Scholar
LeBaron, B. (2001d). Stochastic volatility as a simple generator of apparent financial power laws and long memory. Quantitative Finance, 1.
LeBaron, B. (2002a). Calibrating an Agent-Based Financial Market, Technical report. Waltham, MA: Brandeis University.Google Scholar
LeBaron, B. (2002b). Short-memory traders and their impact on group learning in financial markets. Proceedings of the National Academy of Science: Colloquium, 99(suppl. 3).CrossRefGoogle Scholar
Ledyard, J. O. (1995). Public goods: a survey of experimental research. In The Handbook of Experimental Economics, eds. Kagel, J. H. and Roth, A.. Princeton, NJ: Princeton University Press.Google Scholar
Leeper, E. M. (1991). Equilibria under ‘active’ and ‘passive’ monetary and fiscal policies. Journal of Monetary Economics, 27(1).CrossRefGoogle Scholar
Leijonhufud, A. (1967). Keynes and the Keynesians: a suggested interpretation. American Economic Review, 57(2).Google Scholar
Leijonhufvud, A. (1968). On Keynesian Economics and the Economics of Keynes: a Study in Monetary Theory. New York: Oxford University Press.Google Scholar
Leijonhufvud, A. (1981a). The Wicksell Connection. In Information and Coordination: Essays in Macroeconomic Theory, ed. Leijonhufvud, A.. Oxford: Oxford University Press.Google Scholar
Leijonhufvud, A. (1981b). Information and Coordination: Essays in Macroeconomic Theory. New York: Oxford University Press.Google Scholar
Leijonhufvud, A. (1993). Towards a not-too-rational macroeconomics. Southern Economic Journal, 59. (Reprinted in Leijonhufvud, A., Beyond Microfoundations: Post Walrasian Macroeconomics, ed. D. Colander. Cambridge, MA: Cambridge University Press, pp. 39–55.)Google Scholar
Leijonhufvud, A. (1996). Towards a not-too-rational macroeconomics. In Beyond Microfoundations: Post Walrasian Macroeconomics, ed. Colander, D.. Cambridge, MA: Cambridge University Press, pp. 39–55.CrossRefGoogle Scholar
Leijonhufvud, A. (1997). The Wicksellian heritage. Economic Notes, 26(1).Google Scholar
Leijonhufvud, A. (1999). Mr. Keynes and the moderns. In The Impact of Keynes on Economics in the 20th Century, eds. Pasinetti, L. and Schefold, B.. Cheltenham, UK: Edward Elgar. (Previously published in The European Journal of the History of Economic Thought, 5(1), Spring (1998).)Google Scholar
Leijonhufvud, A. (2004a). The long swings in economic understanding. In Macroeconomic Theory and Economic Policy: Essays in Honor of Jean-Paul Fitoussi, ed. Velupillai, K.. London: Routledge.Google Scholar
Leijonhufvud, A. (2004b). The metamorphosis of neoclassical economics. In Evolution of the Market Process: Austrian and Swedish Economics, eds. Bellet, M., Gloria-Palermo, S. and Zouache, A.. London: Routledge.Google Scholar
Leland, W. E., Taqqu, M. S., Willinger., W. and Wilson, D. V. (1994). On the self-similar nature of Ethernet traffic. IEEE/ACM Transactions on Networking, 2.CrossRefGoogle Scholar
Leombruni, R. and Richiardi, M., eds. (2004). Industry and Labor Dynamics: the Agent-Based Computational Economics Approach, Proceedings of the WILD@ACE 2003 Conference. Singapore: World Scientific Press.CrossRefGoogle Scholar
Lerner, A. (1940). Some Swedish Stepping Stones. Canadian Journal of Economics, 6.Google Scholar
Levin, A. and Williams, J. (2003). Robust monetary policy with competing reference models. Journal of Monetary Economics, 50.CrossRefGoogle Scholar
Levy, M., Levy, H. and Solomon, S. (2000). Microscopic Simulation of Financial Markets. New York, NY: Academic Press.Google Scholar
Liesenfeld, R. (2001). A generalized bivariate mixture model for stock price volatility and trading volume. Journal of Econometrics, 104.CrossRefGoogle Scholar
Lindbeck, A., Nyberg, S. and Weibull, J. (1999). Social norms and economic incentives in the welfare state. Quarterly Journal of Economics, 114.CrossRefGoogle Scholar
Liu, T.-C. (1960). Underidentification, structural estimation and forecasting. Econometrica, 28.CrossRefGoogle Scholar
Ljungqvist, L. and Sargent, T. J. (2000). Recursive Macroeconomic Theory. Cambridge, MA: MIT Press.Google Scholar
Logato, I. and Velasco, C. (2000). Long memory in stock-market trading volume. Journal of Business and Economic Statistics, 18.Google Scholar
Long, J. and Plosser, C. (1983). Real business cycles. Journal of Political Economy, 91.CrossRefGoogle Scholar
Loury, G. (1977). A dynamic theory of racial income differences. In Women, Minorities and Employment Discrimination, eds. Wallace, P. and Lamond, A.. Lexington, MA: Lexington Books.Google Scholar
Lubik, T. A. and Schorfheide, F. (2003).Testing for indeterminacy: an application to U.S. monetary policy. American Economic Review, 94(1).Google Scholar
Lucas, R. E. Jr. (1972). Expectations and the neutrality of money. Journal of Economic Theory, 4, April.CrossRefGoogle Scholar
Lucas, R. E., Jr. (1976). Econometric policy evaluation: a critique. In The Phillips Curve and Labor Markets, eds. Brunner, K. and Meltzer, A. H.. Carnegie-Rochester Conference Series on Public Policy, Vol. 5(11), Spring. Amsterdam: North-Holland.Google Scholar
Lucas, R. E., Jr. (1977). Understanding business cycles. In Studies in Business Cycle Theory, ed. Lucas, R. E. Jr. ed. Oxford: Blackwell.Google Scholar
Lucas, R. E. Jr. (1980). Methods and problems in business cycle theory, Journal of Money, Credit and Banking, 12, November.CrossRefGoogle Scholar
Lucas, R. E. Jr. (1987). Models of Business Cycles. Oxford: Blackwell.Google Scholar
Lucas, R. E., Jr, and Sargent, T. J. (1981). Introduction. In Rational Expectations and Econometric Practice, Vol. 1, eds. Lucas, R. E. Jr. and Sargent, T. J.. Minneapolis, MN: University of Minnesota Press.Google Scholar
Lux, T. (1998). The socioeconomic dynamics of speculative markets: interacting agents, chaos and the fat tails of return distributions. Journal of Economic Behavior and Organization, 33.CrossRefGoogle Scholar
Lux, T. and Marchesi, M. (1999). Scaling and criticality in a stochastic multi-agent model of a financial market. Nature, 397.CrossRefGoogle Scholar
Malinvaud, E. (1977). The Theory of Unemployment Reconsidered. Oxford: Basil Blackwell.Google Scholar
Mankiw, G. (1985). Small menu costs and large business cycles: a macroeconomic model of monopoly. Quarterly Journal of Economics, 100.CrossRefGoogle Scholar
Mankiw, G. (1986). The equity premium and the concentration of aggregate shocks. Journal of Financial Economics, 17.CrossRefGoogle Scholar
Mankiw, G. (1991). The Reincarnation of Keynesian Economics. Paper presented at the September 1991 meeting of The European Economic Association in Cambridge, UK.CrossRefGoogle Scholar
Mankiw, G. and Romer, D. (1990). New Keynesian Economics. Cambridge, MA: MIT Press.Google Scholar
Manski, C. (1993). Identification of endogenous social effects: the reflection problem. Review of Economic Studies, 60(3).CrossRefGoogle Scholar
Manski, C. (2000). Economic analysis of social interactions. Journal of Economic Perspectives, 14(3).CrossRefGoogle Scholar
Manski, C. (2003). Partial Identification of Probability Distributions. New York: Springer-Verlag.Google Scholar
Manski, C. (2004). Statistical treatment rules for heterogeneous population. Econometrica, 72(4).CrossRefGoogle Scholar
Manski, C. and McFadden, D. (1981). Structural Analysis of Discrete Data with Econometric Applications. Cambridge, MA: MIT Press.Google Scholar
Mantegna, R. N. and Stanley, H. E. (1999). An Introduction to Econophysics: Correlations and Complexity in Finance. Cambridge, UK: Cambridge University Press.CrossRefGoogle Scholar
Marcellino, M. and Salmon, M. (2002). Robust decision theory and the Lucas critique. Macroeconomic Dynamics, 6(1).CrossRefGoogle Scholar
Marcet, A. and Sargent, T. J. (1989). Convergence of least-squares learning in environments with hidden state variables and private information. Journal of Political Economy, 97.CrossRefGoogle Scholar
Marschak, J. (1950). Statistical inference in economics, an introduction. In Statistical Inference in Dynamic Economic Models, ed. Koopmans, T. C.. New York: John Wiley and Sons.Google Scholar
Marschak, J. (1953). Economic measurements for policy and predictions. In Studies in Econometric Method, eds. Hood, W. C. and Koopmans, T. C.. Cowles Foundations Monograph no. 14. New York: Wiley.Google Scholar
Marshall, A. (1890). Principles of Economics, 8th edn. (1920). London: Macmillan.Google Scholar
Marshall, A. 1885 (1925). The present position of economics. In Memorials of Alfred Marshall, ed. Pigou, A. C.. London: Macmillan.Google Scholar
Mas-Colell, A. (1982). The Cournot foundations of Walrasian equilibrium theory: an exposition of recent theory. In Advances in Economic Theory, ed. Hildenbrand, W.. Cambridge University Press, Cambridge.Google Scholar
Mavroeidis, S. (2004). Weak identification of forward-looking models in monetary economics. Oxford Bulletin of Economics and Statistics, 66, September.CrossRefGoogle Scholar
McMillan, J. (2002). Reinventing the Bazaar: A Natural History of Markets. New York, NY: W.W. Norton & Co.Google Scholar
Mehra, R. and Prescott, E. C. (1988). The equity risk premium: a solution?Journal of Monetary Economics, 22.CrossRefGoogle Scholar
Mehrling, P. (1997). The Money Interest and the Public Interest: American Monetary Thought, 1920–1970. Cambridge, MA: Harvard University Press.Google Scholar
Mehrling, P. (1999). The vision of Hyman P. Minsky. Journal of Economic Behavior and Organization, 39(2), JuneCrossRefGoogle Scholar
Mehrling, P. (2001). Love and death: the wealth of Irving Fisher. In Research in the History of Economic Thought and Methodology, eds. Samuels, W. J. and Biddle, J. E.. Amsterdam: Elsevier Science.Google Scholar
Mehrling, P. (2005). Fischer Black and the Revolutionary Idea of Finance. Hoboken, NJ: John Wiley and Sons.Google Scholar
Mehrling, P. (2006). Forthcoming. Mr. Woodford and the challenge of finance. Journal of the History of Economic Thought.Google Scholar
Meltzer, A. (1988). Keynes's Monetary Theory: A Different Interpretation. Cambridge: Cambridge University Press.Google Scholar
Meyer, C. and Davis, S. (2003). It's Alive: The Coming Convergence of Information, Biology and Business. Crown Business.Google Scholar
Minsky, H. (1975). John Maynard Keynes. New York: Columbia University Press.CrossRefGoogle Scholar
Mirowski, P. (2004). Markets come to bits: evolution, computation and the future of economic science. Working Paper, Department of Economics and Policy Studies, University of Notre Dame, South Bend, IN.Google Scholar
Mises, L. (1966). Human Action. 3rd edn. Chicago: Regnery.Google Scholar
Mizon, G. E. (1995). Progressive modelling of economic time series: the LSE methodology. In Macroeconometrics: Developments, Tensions and Prospects, ed. Hoover, K. D.. Boston: Kluwer.CrossRefGoogle Scholar
Modigliani, F. (1944). Liquidity preference and the theory of interest and money. Econometrica, 12, January.CrossRefGoogle Scholar
Modigliani, F. (1963). The monetary mechanism and its interaction with real phenomena. Review of Economics and Statistics, 38(1), FebruaryGoogle Scholar
Montgomery, J. (1990). Mimeo. Social Networks and Persistent Inequality in the Labor Market. Department of Economics, Northwestern University, Evanston, IL.Google Scholar
Morgan, M. S. (1990). The History of Econometric Ideas. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Mullainathan, S. and Thaler, R. H. (2000). Behavioral Economics, Technical Report 7948, National Bureau of Economic Research.CrossRefGoogle Scholar
Muth, J. F. (1961). Rational expectations and the theory of price movements. Econometrica, 29.CrossRefGoogle Scholar
Nagel, K. and Paczusik, M. (1995). Emergent traffic jams. Physical Review E, 5.Google Scholar
Nakajima, R. (2003). Mimeo. Measuring Peer Effects in Youth Smoking Behavior. University of Osaka, Osaka, Japan.Google Scholar
Negishi, T. (1961). Monopolistic competition and general equilibrium. Review of Economic Studies, 29, 196–201.CrossRefGoogle Scholar
Negishi, T. (1962). The stability of a competitive economy: a survey article. Econometrica, 30, 635–91.CrossRefGoogle Scholar
Nelson, R. (1995). Recent evolutionary theorizing about economic change. Journal of Economic Literature, 33.Google Scholar
Nelson, R. and Winter, S. (1982). An Evolutionary Theory of Economic Change. Cambridge, MA: Harvard University Press.Google Scholar
Nesheim, L. (2002). Equilibrium sorting of heterogeneous consumers across locations: theory and implications. Working Paper No. CWP08/02, Centre for Microdata Methods and Practice.Google Scholar
Newman, M. E. J., Watts, D. J. and Strogatz, S. H. (2002). Random graph models of social networks. Proc Natl Acad Sci USA, 99 (suppl. 1).CrossRefGoogle ScholarPubMed
Novshek, W. and Sonnenschein, H. (1978). Cournot and Walras equilibrium. Journal of Economic Theory, 19.CrossRefGoogle Scholar
Okun, A. M. (1983). Economics for Policymaking: Selected Essays of Arthur M. Okun, ed. Pechman, J. A.. Cambridge, MA: MIT Press.Google Scholar
Onatski, A. and Stock, J. (2002). Robust monetary policy under model uncertainty in a small model of the U.S. economy. Macroeconomic Dynamics, 6.CrossRefGoogle Scholar
Onatski, A. and Williams, N. (2003). Modeling model uncertainty. Journal of the European Economic Association, 1.CrossRefGoogle Scholar
Oomes, N. (2003). Local network trades and spatially persistent unemployment. Journal of Economic Dynamics and Control, 27, 11–12.CrossRefGoogle Scholar
Orcutt, G. H. and Irwin, J. O. (1948). A study of the autoregressive nature of the time series used for Tinbergen's model of the economic system of the United States, 1919–1932. Journal of the Royal Statistical Society, Series B, 10.Google Scholar
Orphanides, A. and Williams, J. C. (2003a). Imperfect knowledge, inflation expectations and monetary policy. In Inflation Targeting, eds. Bernanke, B. S. and Woodford, M.. Chicago: University of Chicago Press.Google Scholar
Orphanides, A. and Williams, J. C. (2003b). Unpublished. The Decline of Activist Stabilization Policy: Natural Rate Misperceptions, Learning and Expectations.Google Scholar
Patinkin, D. (1948). Price flexibility and full employment. American Economic Review, 38, September.Google Scholar
Patinkin, D. (1956). Money, Interest and Prices: An Integration of Monetary and Value Theory. New York: Harper and Row.Google Scholar
Pearl, J. (2000). Causality: Models, Reasoning and Inference. Cambridge: Cambridge University Press.Google Scholar
Peirce, C. S. (1934–58). Collected Papers of Charles Sanders Peirce, Vol. 5, eds. Hartshorne, C. and Weiss, P.. Cambridge, MA: Belknap Press.Google Scholar
Penrose, R. (1989). The Emperor's New Mind. Oxford University Press, Oxford, UK.Google Scholar
Phelps, E. S. (1967). Phillips curves, expectations of unemployment and optimal unemployment over time. Economica, 34, August.CrossRefGoogle Scholar
Phelps, E. S. (1968). Money wage dynamics and labor market equilibrium. Journal of Political Economy76 (4 Part 2) August. (Reprinted in somewhat revised form in (1970) Microeconomic Foundations of Employment and Inflation Theory, eds. Phelps, E. S., et al. New York: Norton.)Google Scholar
Phelps, E. S., ed. (1971). Microeconomic Foundations of Employment and Inflation Theory. New York: Norton.Google Scholar
Phillips, A. W. (1958). The relation between unemployment and the rate of change of money wage rates in the United Kingdom, 1861–1957. Economica, 25.Google Scholar
Pingle, M. and Tesfatsion, L. (1991). Overlapping generations, intermediation and the First Welfare Theorem. Journal of Economic Behavior and Organization, 15.CrossRefGoogle Scholar
Pingle, M. and Tesfatsion, L. (1998a). Active intermediation in overlapping generations economies with production and unsecured debt. Macroeconomic Dynamics, 2.Google Scholar
Pingle, M. and Tesfatsion, L. (1998b). Active intermediation in a monetary overlapping generations economy. Journal of Economic Dynamics and Control, 22.CrossRefGoogle Scholar
Pitman, J. (2002). Lecture Notes. Combinatorial Stochastic Processes. St. Flour Summer Institute, St. Flour, France.Google Scholar
Prescott, E. C. (1986). Theory ahead of business cycle measurement. Federal Reserve Bank of Minneapolis Quarterly Review, 10.Google Scholar
Prescott, E. C. (1996). The computational experiment: an econometric tool. Journal of Economic Perspectives, 10(1).Google Scholar
Rabin, M. (1993). Incorporating fairness into game theory and economics. American Economic Review, 83.Google Scholar
Raftery, A., Madigan, D. and Hoeting, J. (1997). Bayesian model averaging for linear regression models. Journal of the American Statistical Association, 92.CrossRefGoogle Scholar
Ramal, R. and Toulouse, G. (1986). Ultrametricity for physicists. Rev. Mod. Phys., 58.Google Scholar
Riddell, C. and Smith, P. (1982). Expected inflation and wage changes in Canada. Canadian Journal of Economics, 15, August.CrossRefGoogle Scholar
Rivkin, S. (2001). Tiebout sorting, aggregation and the estimation of peer group effects. Economics of Education Review, 20.CrossRefGoogle Scholar
Robertson, D. (1915). A Study of Industrial Fluctuation. London: PS King.Google Scholar
Robertson, D. (1926). Banking Policy and the Price Level. London: Macmillan.Google Scholar
Robertson, J. and Tallman, E. (1999). Vector autoregressions: forecasting and reality. Federal Reserve Bank of Atlanta. Economic Review, 84, First Quarter.Google Scholar
Rogoff, K. (2002). Stop deflation first for the revival of the Japanese economy. Nikkei Newspaper, October 7.Google Scholar
Romer, D. (1996). Advanced Macroeconomics. New York: McGraw Hill.Google Scholar
Rosenberg, N. (1982). How exogenous is science? In Inside the Black Box: Technology and Economics, ed. Rosenberg, N.. New York: Cambridge University Press.Google Scholar
Roth, A. E. (2002). The economist as engineer: game theory, experimentation and computation as tools for design economics. Econometrica, 70.CrossRefGoogle Scholar
Rubenstein, M. (2001). Rational markets: Yes or no? The affirmative case. Financial Analyst Journal, 17.Google Scholar
Rubinstein, A. (1998). Modeling Bounded Rationality. Cambridge, MA: MIT Press.Google Scholar
Rubinstein, A. and Wolinsky, A. (1990). Decentralized trading, strategic behavior and the Walrasian outcome. Review of Economic Studies, 57.CrossRefGoogle Scholar
Rudd, J. B. and Whelan, K. (2003). Unpublished. Can Rational Expectations Sticky-Price Models Explain Inflation Dynamics?Google Scholar
Saari, D. and Simon, C. P. (1978). Effective price mechanisms. Econometrica, 46.CrossRefGoogle Scholar
Sacerdote, B. (2001). Peer effects with random assignment: results for Dartmouth roomates. Quarterly Journal of Economics, 116.CrossRefGoogle Scholar
Samuelson, L. (2005). Foundations of human sociality: a review essay. Journal of Economic Literature.CrossRefGoogle Scholar
Samuelson, P. (1947). Foundations of Economic Analysis. Cambridge: Harvard University Press.Google Scholar
Samuelson, P. (1948). Economics. New York: McGraw Hill.Google Scholar
Sargent, T. (1971). A note on the accelerationist controversy. Journal of Money, Credit and Banking, 3.CrossRefGoogle Scholar
Sargent, T. (1976). A classical macroeconomic model for the United States. Journal of Political Economy, 84(2).CrossRefGoogle Scholar
Sargent, T. (1993). Bounded rationality in macroeconomics, The Arne Ryde Memorial Lectures.Oxford, UK: Clarendon Press.Google Scholar
Sargent, T. (1999a). The Conquest of American Inflation. Princeton, NJ: Princeton University Press.Google Scholar
Sargent, T. (1999b). Comment. In Monetary Policy Rules, ed. Taylor, J.. Chicago: University of Chicago Press.CrossRefGoogle Scholar
Sargent, T. and Wallace, N. (1975). Rational expectations, the optimal monetary instrument and the optimal money supply rule. Journal of Political Economy, 83, April.CrossRefGoogle Scholar
Sargent, T. and Wallace, N. (1976). Rational expectations and the theory of economic policy. Journal of Monetary Economics, 84, 3.Google Scholar
Say, J. B. (1821). Letters to Malthus on Political Economy and Stagnation of Commerce. Source: Rod Hay's Archive for the History of Economic Thought, McMaster University, CanadaGoogle Scholar
Schelling, T. C. (1978). Micromotives and Macrobehavior. New York: W.W. Norton & Company.Google Scholar
Schmitt-Grohé, S. and Uribe, M. (1997). Balanced-budget rules, distortionary taxes and aggregate instability. Journal of Political Economy, 105.CrossRefGoogle Scholar
Schmitt-Grohé, S. and Uribe, M. (2005). Optimal fiscal and monetary policy in a medium-scale macroeconomic model. NBER Macroeconomics Annual2005.Google Scholar
Schorfheide, F. (2000). Loss function evaluations of DSGE models. Journal of Applied Economics, 15.Google Scholar
Scitovsky, T. (1945). Consequences of the habit of judging quality by price. Review of Economic Studies, 13.Google Scholar
Sen, A., ed. (1960). Introduction. In Growth Economics. Harmondsworth, UK: Penguin, pp. 9–40.Google Scholar
Shackle, G. L. S. (1974). Keynesian Kaleidics. Edinburgh: Edinburgh University Press.Google Scholar
Shafir, E., Diamond, P. and Tversky, A. (1998). Money illusion. Quarterly Journal of Economics, 112.Google Scholar
Shapiro, C. and Stiglitz, J. (1984). Equilibrium unemployment as a worker discipline device. American Economic Review, 74.Google Scholar
Shiller, R. (1981). Do stock prices move too much to be justified by subsequent changes in dividends?American Economic Review, 71.Google Scholar
Shiller, R. (2000). Irrational Exuberance. Princeton, NJ: Princeton University Press.Google Scholar
Shiller, R. (2003). From efficient market theory to behavioral finance. Journal of Economic Perspectives, 17.CrossRefGoogle Scholar
Shubik, M. (1991). A Game-Theoretic Approach to Political Economy, Fourth Printing. Cambridge, MA: MIT Press.Google Scholar
Simon, H. A. (1953) Causal ordering and identifiability. In Models of Man. New York: Wiley.Google Scholar
Simon, H. A. (1982). The Sciences of the Artificial, 2nd edn. Cambridge, MA: MIT Press.Google Scholar
Simon, H. A. (1996). The Sciences of the Artificial. Cambridge, MA: MIT Press.Google Scholar
Simon, H. A. (1997). Models of Bounded Rationality. Cambridge, MA: MIT Press.Google Scholar
Simon, H. A. and Bonini, C. (1958). The size distribution of business firms. American Economic Review, 48(4).Google Scholar
Sims, C. A. (1980). Macroeconomics and reality. Econometrica, 48.CrossRefGoogle Scholar
Sims, C. A. (1982). Policy analysis with econometric models. Brookings Papers on Economic Activity.Google Scholar
Sims, C. A. (1986). Are forecasting models usable for policy analysis?Federal Reserve Bank of Minneapolis Quarterly Review, 10(1), Winter.Google Scholar
Sims, C. A. (1999). The role of interest rate policy in the generation and propagation of business cycles: what has changed since the '30s? In Beyond Shocks: What Causes Business Cycles, eds. Fuhrer, J. C. and Schuhrs, S.. Federal Reserve Bank of Boston Conference Series, No. 42.Google Scholar
Sims, C. A. (2002). The role of models and probabilities in the monetary policy process. Brooking Papers on Economic Activity, 2.Google Scholar
Sirakaya, S. (2003). Mimeo. Recidivism and Social Interactions. Department of Economics, University of Washington, Seattle, WA.Google Scholar
Smith, A. (1778) 1976. An Inquiry into the Nature and Causes of the Wealth of Nations. New York: Oxford University Press.Google Scholar
Söderlind, P. (1999). Solution and estimation of RE macro models with optimal policy. European Economic Review, 43.CrossRefGoogle Scholar
Solomon, S. and Levy, M. (1996). Spontaneous Scaling Emergence in Generic Stochastic Systems. arXiv:adap-org/9609002v1 11 Sep 96.Google Scholar
Solow, R. and Samuelson, P. (1960). Analytical aspects of anti-inflation policy. American Economic Review, 50(2).Google Scholar
Spanos, A. (1995). On theory testing in econometrics: modeling with nonexperimental data. Journal of Econometrics, 676.Google Scholar
Spirtes, P., Glymour, C. and Scheines, R. (2000). Causation, Prediction and Search. 2nd edn. Cambridge, MA: MIT Press.Google Scholar
Steindl, J. (1965). Random Processes and the Growth of Firms. New York: Hafner Publishing Company.Google Scholar
Stigler, S. M. (1986). The History of Statistics: Measurement of Uncertainty Before 1900. Cambridge, MA: Belknap Press.Google Scholar
Stiglitz, J. E. (1993). Post Walrasian and post Marxian economics. Journal of Economic Perspectives, 7(1).CrossRefGoogle Scholar
Summers, L. H. (1992). The scientific illusion in empirical macroeconomics. Scandinavian Journal of Economics, 93(2).Google Scholar
Svensson, L. E. O. (2001). The zero bound in an open economy: a foolproof way of escaping from a liquidity trap. Monetary and Economic Studies, 19.Google Scholar
Swanson, N. R. and Granger, C. W. J. (1997). Impulse response functions based on a causal approach to residual orthogonalization in vector autoregressions. Journal of the American Statistical Association, 92.CrossRefGoogle Scholar
Takayama, A. (1985). Mathematical Economics, 2nd edn. Cambridge University Press, Cambridge, UK.Google Scholar
Tarshis, L. (1947). Elements of Economics. Boston: Houghton Mifflin.Google Scholar
Taylor, J. B. (1979). Staggered wage setting in a macro model. American Economic Review, 69.Google Scholar
Taylor, J. B. (1980). Aggregate dynamics and staggered contract. Journal of Political Economy, 88(1).CrossRefGoogle Scholar
Taylor, J. B. (1999). Monetary Policy Rules. Chicago: University of Chicago Press.CrossRefGoogle Scholar
Taylor, P. D. and Jonker, L. (1978). Evolutionarily stable strategies and game dynamics. Mathematical Bioscience, 40.CrossRefGoogle Scholar
Taylor, J. B. and Woodford, M. (1999). Handbook for Macroeconomics. Amsterdam: North-Holland.Google Scholar
Teller, P. Forthcoming. Twilight of the Perfect Model Model. Erkenntis.Google Scholar
Tesfatsion, L. (2002). Agent-based computational economics: growing economies from the bottom up. Artificial Life, 8.CrossRefGoogle ScholarPubMed
Tesfatsion, L. (2006). Agent-Based Computational Economics: A Constructive Approach to Economic Theory, Chapter 1 in Tesfatsion and Judd (2006), op. cit.Google Scholar
Tesfatsion, L. and Judd, K. L., eds. (2006). Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics, Handbooks in Economics Series. Elsevier. Amsterdam: North-Holland.Google Scholar
Tesfatsion, L. (Guest, ed.) (2001a). Special issue on agent-based computational economics. Journal of Economic Dynamics and Control, 25(3–4).CrossRefGoogle Scholar
Tesfatsion, L. (Guest, ed.) (2001b). Special issue on agent-based computational economics, Computational Economics, 18(1).CrossRefGoogle Scholar
Tesfatsion, L. (Guest, ed.) (2001c). Special issue on the agent-based modeling of evolutionary economic systems, IEEE Transactions on Evolutionary Computation, 5(5), 437–560.CrossRefGoogle Scholar
Tetlow, R. and zur Muehlen, P. (2001). Robust monetary policy with misspecified models: does model uncertainty always call for attenuated policy?Journal of Economic Dynamics and Control, 25(6–7).CrossRefGoogle Scholar
Thaler, R. (1991). Quasi Rational Economics. New York: Russell Sage Foundation.Google Scholar
Thaler, R. (1993). Advances in Behavioral Finance. New York, NY: Russell Sage Foundation.Google Scholar
Thornton, H., 1962 (1802). An Enquiry into the Nature and Effects of the Paper Credit of Great Britain. Fairfield, NJ: Augustus M. Kelley.Google Scholar
Tinbergen, J. (1939). Statistical Testing of Business-Cycle Theories. 2 Vols. Geneva: League of Nations.Google Scholar
Tintner, G. (1952a). Complementarity and shifts in demand. Metroeconomica, 4.CrossRefGoogle Scholar
Tintner, G. (1952b). Econometrics. New York, NY: John Wiley & Sons.Google Scholar
Tirole, J. (2003). The Theory of Industrial Organization. Cambridge, MA: MIT Press.Google Scholar
Tobin, J. (1947). Money wage rates; and Employment. In The New Economics, ed. Harris, S. E.. New York: Albert A. Knopf.Google Scholar
Tobin, J. (1963). Commercial Banks as Creators of Money. In Banking and Monetary Studies: in Commemoration of the Centennial of the National Banking System, ed. Carson, D.. Homewood, IL: Irwin.Google Scholar
Tobin, J. (1969). A general equilibrium approach to monetary theory. Journal of Money, Credit and Banking, 1(1).CrossRefGoogle Scholar
Tobin, J. (1974). Friedman's Theoretical Framework. In Milton Friedman's Monetary Framework: A Debate with his Critics, ed. Gordon, R. J.. Chicago: University of Chicago Press.Google Scholar
Tobin, J. (1975). Keynesian models of recession and depression. American Economic Review Papers and Proceedings, 65, May.Google Scholar
Tobin, J. and Dolbear, F. T. (1963). Comments on the relevance of psychology to economic theory and research. In Psychology: A Study of a Science, Vol. 6, ed. Koch, S.. New York: McGraw-Hill.Google Scholar
Topa, G. (2001). Social interactions, local spillovers and unemployment. Review of Economic Studies, 68(2).CrossRefGoogle Scholar
Tversky, A. and Kahneman, D. (1986). Rational choice and the framing of decisions. In Rational Choice: the Contrast between Economics and Psychology, eds. Hogarth, R. M. and Reder, M. W.. Chicago: University of Chicago Press.Google Scholar
Tversky, A. and Kahneman, D. (1991). Loss aversion in riskless choice: a reference-dependent model. Quarterly Journal of Economics, 106.CrossRefGoogle Scholar
Veblen, T. (1898). Why is economics not an evolutionary science?Quarterly Journal of Economics, 12.CrossRefGoogle Scholar
Voth, H.-J. (1998). Time and work in eighteenth century London. Journal of Economic History, 58(1).CrossRefGoogle Scholar
Vriend, N. J. (2002). Was Hayek an ace?Southern Economic Journal, 68(4).CrossRefGoogle Scholar
Wald, A. (1950). Statistical Decision Functions. New York: John Wiley.Google Scholar
Walker, D. A. (1983). William Jaffe's Essays on Walras. Cambridge and New York: Cambridge University Press.CrossRefGoogle Scholar
Walker, D. A. (2005). Walras' Market Model. Cambridge and New York: Cambridge University Press.Google Scholar
Walras, L. (1874). Elements of Pure Economics. Lausanne: L. Borbax.Google Scholar
Watson, M. W. (1994). Vector autoregressions and cointegration. In Handbook of Econometrics, Vol. 2, eds. Engle, R. F. and McFadden, D. L.. Amsterdam, New York, Oxford, and Tokyo: North-Holland.Google Scholar
Watts, D. (1999). Small Worlds: the Dynamics of Networks between Order and Randomness. Princeton, NJ: Princeton University Press.Google Scholar
Weatherford, J. (1997). The History of Money. New York: Three Rivers Press.Google Scholar
Weibull, J. W. (2004). Testing game theory. Boston University Economics Department Working Paper.Google Scholar
Weinberg, B., Reagan, P. and Yankow, J. (2004). Do neighborhoods affect hours worked? Evidence from longitudinal data. Journal of Labor Economics.CrossRefGoogle Scholar
Weiss, G., ed. (1999). Multiagent Systems: a Modern Approach to Distributed Artificial Intelligence. Cambridge, MA: MIT Press.Google Scholar
Weitzman, M. (2004). Mimeo. The Bayesian Family of Equity Non-Puzzles. Department of Economics, Harvard University.Google Scholar
West, K. (1996). Asymptotic inference about predictive ability. Econometrica, 64.CrossRefGoogle Scholar
White, H. (1994). Estimation, Inference and Specification Analysis, Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Wicksell, K. (1898). Geldzins und Güterpreise. Jena: Gustav Fisher. Trans. Richard Kahn as Interest and Prices. London: Macmillan (1936).Google Scholar
Wicksell, K. (1935). Lectures on Political Economy. London : Routledge and Kegan Paul. (Orig. pub. 1901 in Swedish.)Google Scholar
Wilhite, A. (2001). Bilateral trade and ‘Small-World’ networks. Computational Economics, 18(1).CrossRefGoogle Scholar
Williams, N. (2003). Mimeo. Adaptive Learning and Business Cycles.Google Scholar
Witt, U. (1993). Evolutionary Economics. Cheltenham, UK: Edward Elgar Publishers.Google Scholar
Wolcott, S. and Clark, G. (1999). Why nations fail?: managerial decisions and performance in Indian cotton textiles, 1890–1938. Journal of Economic History, 59(2).CrossRefGoogle Scholar
Woodford, M. (1990). Learning to believe in sunspots. Econometrica, 58, 272–307.CrossRefGoogle Scholar
Woodford, M. (1999). Revolution and Evolution in Twentieth-Century Macroeconomics. Paper prepared for the conference on Frontiers of the Mind in the Twenty-First Century, Library of Congress, Washington, DC, June.Google Scholar
Woodford, M. (2003). Interest and Prices: Foundations of a Theory of Monetary Policy. Princeton, NJ: Princeton University Press.Google Scholar
Woodford, M. and Farmer, R. (1997). Self-fulfilling prophecies and the business cycle. Macroeconomic Dynamics, 1(4).Google Scholar
Wu, B.-F. and Jonckheere, E. (1992). A simplified approach to Bode's theorem for continuous and discrete time systems. IEEE Transactions on Automatic Control, 37(100).CrossRefGoogle Scholar
Yeager, L. (1973). The Keynesian diversion. Western Economic Journal, 11, June.Google Scholar
Yeager, L. (1986). The significance of monetary disequilibrium. Cato Journal, 6, Fall.Google Scholar
Young, W. (1987). Interpreting the IS/LM Enigma. Boulder, CO: Westview Press.Google Scholar
Young, H. P. (1993). An evolutionary model of bargaining. Journal of Economic Theory, 59(1).CrossRefGoogle Scholar
Young, H. P. (1996). The economics of convention. Journal of Economic Perspectives, 10, Spring.CrossRefGoogle Scholar
Young, H. P. (1998). Individual Strategy and Social Structure: An Evolutionary Theory of Institutions. Princeton, NJ: Princeton University Press.Google Scholar
Young, H. P. (1999). Diffusion in Social Networks. Center on Social and Economic Dynamics Working Paper. Washington, DC: Brookings Institution.Google Scholar
Young, H. P. and Burke, M. (2001). Competition and custom in economic contracts: a case study of Illinois agriculture. American Economic Review, 91(3).CrossRefGoogle Scholar
Young, H. P. and Burke, M. (2003). Mimeo. On the Distributional Effects of Contractual Norms: the Case of Cropshare Contracts. Department of Economics, Johns Hopkins University, Baltimore, MD.Google Scholar
Zabell, S. L. (1992). Predicting the unpredictable. Synthese, 90.CrossRefGoogle Scholar

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  • Bibliography
  • Edited by David Colander, Middlebury College, Vermont
  • Book: Post Walrasian Macroeconomics
  • Online publication: 02 December 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511617751.021
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