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HETEROGENEOUS EXPECTATIONS AND ENDOGENOUS FLUCTUATIONS IN THE FINANCIAL ACCELERATOR FRAMEWORK

Published online by Cambridge University Press:  01 June 2018

Davide Bazzana
Davide Bazzana*
Affiliation:
University of Brescia
*
Address correspondence to: Davide Bazzana, Department of Economics and Management, University of Brescia, Via San Faustino, 74/b, 25122Brescia, Italy; e-mail: davide.bazzana@unibs.it.
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Abstract

This paper proposes a financial accelerator framework to study the effects of heterogeneous and bounded rational expectations on macroeconomic dynamics. The paper examines the fluctuations effects departing from the rational expectations hypothesis in order to understand if there are significant implications on macroeconomic volatility and policy prescriptions. The findings suggest that macroeconomic stability and inflation dynamics depend on the chosen set of forecasting rules, as well as on the monetary policy adopted. The model shows that no monetary policy is able to quickly stabilize the system, as some fluctuations persist. Central banks face a trade-off between macro-volatility and speed of convergence to the steady state. This result offers some ground for fiscal policies aiming to prompt system stability. In addition, the analysis reveals a counterintuitive result confirming the “less-is-more” effect: increasing the decision-making and computational abilities of the agents may not lead the system to converge to the preferable steady state.

Keywords

Heterogeneous ExpectationsFinancial AcceleratorMonetary PolicyBusiness Fluctuations
Type
Articles
Information
Macroeconomic Dynamics , Volume 24 , Issue 2 , March 2020 , pp. 327 - 359
Copyright
© Cambridge University Press 2018

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Footnotes

This paper has benefited from comments and suggestions by Domenico Delli Gatti, Cars Hommes and Domenico Massaro. I would like to show my gratitude to Matilde Zubani for her valuable help in language revision and submission of the manuscript. Finally, I wish to thank the Associate Editor and the anonymous referees for their detailed suggestions.

References

REFERENCES

Akerlof, G. J. and Shiller, R. J. (2009) Animal Spirits: How Human Psychology Drives the Economy, and Why it Matters for Global Capitalism. Princeton: Princeton University Press.Google Scholar
Anufriev, M. and Hommes, C. (2012) Evolutionary selection of individual expectations and aggregate outcomes in asset pricing experiments. American Economic Journal: Microeconomics 4 (4), 35–64.Google Scholar
Anufriev, M., Assenza, T., Hommes, C., and Massaro, D. (2013) Interest rate rules and macroeconomic stability under heterogeneous expectations. Macroeconomic Dynamics 17 (8), 1574–1604.CrossRefGoogle Scholar
Ashraf, Q., Gershman, B., and Howitt, P. (2011) Banks, Market Organization, and Macroeconomic Performance: An Agent-based Computational Analysis. Working paper 17102, National Bureau of Economic Research.CrossRefGoogle Scholar
Assenza, T., Heemeijer, P., Hommes, C., and Massaro, D. (2013) Individual Expectations and Aggregate Macro Behavior. Tinbergen Institute discussion paper 13-016/II.CrossRefGoogle Scholar
Battiston, S., Gatti, D. Delli, Gallegati, M., Greenwald, B., and Stiglitz, J. (2012) Liaisons dangereuses: Increasing connectivity, risk sharing, and systemic risk. Journal of Economic Dynamics and Control 36 (8), 1121–1141.CrossRefGoogle Scholar
Bernanke, B. and Gertler, M. (1989) Agency costs, net worth and business fluctuations. American Economic Review 79 (1), 14–31.Google Scholar
Bernanke, B., Gertler, M., and Gilchrist, S. (1999) The financial accelerator in a quantitative business cycle framework. In Taylor, J. B. and Woodford, M. (eds.), Handbook of Macroeconomics, vol. 1, chapter 21, pp. 1341–1393. Amsterdam: Elsevier, North-Holland.CrossRefGoogle Scholar
Branch, W. A. (2004) The theory of rationally heterogeneous expectations: Evidence form survey data on inflation expectations. Economic Journal 114 (497), 592–621.CrossRefGoogle Scholar
Branch, W. A. and Evans, G. W. (2005) Model uncertainty and endogenous volatility. In Proceedings of Computing in Economics and Finance, vol. 33, Society for Computational Economics.Google Scholar
Branch, W. A. and McGough, B. (2009) A new Keynesian model with heterogeneous expectation. Journal of Economic Dynamics and Control 33 (5), 1036–1051.CrossRefGoogle Scholar
Brock, W. A. and Hommes, C. (1997) A rational route to randomness. Econometrica 65 (8), 1059–1095.CrossRefGoogle Scholar
Brock, W. A. and Hommes, C. (1998) Heterogeneous beliefs and routes to chaos in a simple asset pricing model. Journal of Economic Dynamics and Control 22 (8), 1235–1274.CrossRefGoogle Scholar
Burke, M. A. and Manz, M. (2011) Economic Literacy and Inflation Expectations: Evidence from a Laboratory Experiment. Public Policy discussion paper 11-8, Federal Reserve Bank of Boston.Google Scholar
Calvo, G. A. (1983) Staggered prices in a utility-maximizing framework. Journal of Monetary Economics 12 (3), 383–398.CrossRefGoogle Scholar
Carlstrom, C. T. and Fuerst, T. S. (1997) Agency costs, net worth, and business fluctuations: A computable general equilibrium analysis. American Economic Review 87 (5), 893–910.Google Scholar
Carroll, C. D. (2003) Macroeconomic expectations of households and professional forecasters. Quarterly Journal of Economics 118 (1), 269–298.CrossRefGoogle Scholar
Clarida, R., Galì, J., and Gertler, M. (1999) The Science of Monetary Policy: A New Keynesian Perspective. Technical report, National Bureau of Economic Research.CrossRefGoogle Scholar
Clarida, R., Galì, J., and Gertler, M. (2000) Monetary policy rules and macroeconomic stability: Evidence and some theory. Quarterly Journal of Economics 115 (1), 147–180.CrossRefGoogle Scholar
Coibion, O. and Gorodnichenko, Y. (2012) What can survey forecasts tell us about information rigidities? Journal of Political Economy 120 (1), 116–159.CrossRefGoogle Scholar
Coibion, O. and Gorodnichenko, Y. (2015) Information rigidity and the expectations formation process: A simple framework and new facts. American Economic Review 105, 2644–2678.CrossRefGoogle Scholar
Conlisk, J. (1980) Costly optimizers versus cheap imitators. Journal of Economic Behaviour & Organization 1 (3), 275–293.CrossRefGoogle Scholar
Conlisk, J. (1996) Why bounded rationality? Journal of Economic Literature 34 (2), 669–700.Google Scholar
Curdia, V. and Woodford, M. (2010) Credit spreads and monetary policy. Journal of Money, Credit and Banking 42 (1), 3–35.CrossRefGoogle Scholar
De Grauwe, P. (2012) Lectures on Behavioral Macroeconomics. Princeton: Princeton University Press.CrossRefGoogle Scholar
DeGrauwe, P. Grauwe, P. and Macchiarelli, C. (2015) Animal spirits and credit cycles. Journal of Economic Dynamics and Control 59, 95–117.Google Scholar
Delli Gatti, D., Gaffeo, E., and Gallegati, M. (2010a) Complex agent-based macroeconomics: A manifesto for a new paradigm. Journal of Economic Interaction and Coordination 5 (2), 111–35.CrossRefGoogle Scholar
Delli Gatti, D., Gallegati, M., Greenwald, B., Russo, A., and Stiglitz, J. (2010b) The financial accelerator in an evolving credit network. Journal of Economic Dynamics and Control 205 (2), 459–468.Google Scholar
Diks, C. and van der Weide, R. (2005) Herding, a-synchronous updating and heterogeneity in memory in a CBS. Journal of Dynamics and Control 29 (4), 741–763.CrossRefGoogle Scholar
Dosi, G., Fagiolo, G., Napoletano, M., and Roventini, A. (2013) Income distribution, credit and fiscal policies in an agent-based Keynesian model. Journal of Economic Dynamics and Control 37 (8), 1598–1625.CrossRefGoogle Scholar
Dosi, G., Fagiolo, G., Napoletano, M., Roventini, A., and Treibich, T. (2015) Fiscal and monetary policies in complex evolving economies. Journal of Economic Dynamics and Control 52, 166–189.CrossRefGoogle Scholar
Duffy, J. (2006) Agent-based models and human subject experiments. In Tesfetsion, L. and Judd, K. L. (eds.), Handbook of Computational Economics, vol. 2, Agent-Based Computational Economics. Amsterdam: North-Holland.Google Scholar
Fagiolo, G. and Roventini, A. (2017) Macroeconomic policy in DSGE and agent-based models redux: New developments and challenges ahead. Journal of Artificial Societies and Social Simulation 20 (1), 1–37.CrossRefGoogle Scholar
Frankel, J. and Froot, K. (1986) Understanding the US dollar in the eighties: The expectations of chartists and fundamentalists. Economic Record (special issue), 24–38.Google Scholar
Frankel, J. and Froot, K. (1987a) Short-term and long-term expectations of the yen/dollar exchange rate: Evidence from survey data. Journal of the Japanese and International Economies 1, 249–274.CrossRefGoogle Scholar
Frankel, J. and Froot, K. (1987b) Using survey data to test standard propositions regarding exchange rate expectations. American Economic Review 77, 133–153.Google Scholar
Frankel, J. and Froot, K. (1990a) Chartist, fundamentalist and trading in the foreign exchange market. American Economic Review 80, 181–185.Google Scholar
Frankel, J. and Froot, K. (1990b) Exchange Rate Forecasting Techniques, Survey Data and Implications for the Foreign Exchange Market. NBER working papers 3470, National Bureau of Economic Research.CrossRefGoogle Scholar
Galì, J. (2008) Monetary Policy, Inflation and the Business Cycle: An Introduction to the New Keynesian Framework. Princeton: Princeton University Press.Google Scholar
Gertler, M. and Karadi, P. (2011) A model of unconventional monetary policy. Journal of Monetary Economics 58 (1), 17–34.CrossRefGoogle Scholar
Gigerenzer, G. and Brighton, H. (2009) Homo heuristicus: Why biased minds make better inferences. Topics in Cognitive Science 1, 107–143.CrossRefGoogle ScholarPubMed
Greenwald, B. and Stiglitz, J. (1993) Financial market imperfections and business cycles. Quarterly Journal of Economics 108 (1), 77–114.CrossRefGoogle Scholar
Guerini, M., Napoletano, M., and Roventini, A. (2016) No Man Is an Island: The Impact of Heterogeneity and Local Interactions on Macroeconomic Dynamics. Working paper series 2016/24, Laboratory of Economics and Management (LEM), Scuola Superiore Sant' Anna, Pisa, Italy.CrossRefGoogle Scholar
Hendry, D. and Mizon, G. (2010) On the Mathematical Basis of Inter-temporal Optimization. Discussion paper 497, University of Oxford Department of Economics.Google Scholar
Hommes, C. (2011) The heterogeneous expectations hypothesis: Some evidence from the lab. Journal of Economic Dynamics and Control 35 (1), 1–24.CrossRefGoogle Scholar
Hommes, C. (2013) Behavioral Rationality and Heterogeneous Expectations in Complex Economic Systems. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Hommes, C. and Zhu, M. (2014) Behavioral learning equilibria. Journal of Economic Theory 150 (C), 778–814.CrossRefGoogle Scholar
Hommes, C., Sonnemans, J., Tuinstra, J., and van de Velden, H. (2005) Coordination of expectations in asset pricing experiments. Review of Financial Studies 18 (3), 955–980.CrossRefGoogle Scholar
Hommes, C., Sonnemans, J., Tuinstra, J., and van de Velden, H. (2007) Learning in cobweb experiments. Macroeconomic Dynamics 11 (S1), 8–33.CrossRefGoogle Scholar
Hommes, C., Kiseleva, T., Kuznetsov, Y., and Verbic, M. (2012) Is more memory in evolutionary selection (de)stabilizing? Macroeconomic Dynamics 16 (03), 335–357.CrossRefGoogle Scholar
Iacoviello, M. and Neri, S. (2010) Housing market spillover: evidence from an estimated DSGE model. American Economic Journal: Macroeconomics 2 (2), 125–164.Google Scholar
Johansen, L. (1977) Lectures on Macroeconomic Planning. Part 1. General Aspects. Amsterdam: North-Holland.Google Scholar
Kahneman, D. and Tversky, A. (1973) On the psychology of prediction. Psychological Review 80, 237–251.CrossRefGoogle Scholar
Kahneman, D., Knetsch, J. L., and Thaler, R. H. (1991) Anomalies: The endowment effect, loss aversion, and status quo bias. Journal of Economic Perspectives 5 (1), 193–206.CrossRefGoogle Scholar
Keynes, J. M. (1936) The General Theory of Employment, Interest and Money. London: Macmillan.Google Scholar
Kirman, A. (1992) Whom or what does the representative individual represent? Journal of Economic Perspectives 6 (2), 117–136.CrossRefGoogle Scholar
Kobayashi, K. and Shirai, D. (2016) Heterogeneity and redistribution in financial crises. Macroeconomic Dynamics 20 (6), 1527–1549.CrossRefGoogle Scholar
Kobayashi, K., Nakajima, T., and Inaba, M. (2012) Collateral constraint and news-driven cycles. Macroeconomic Dynamics 16 (5), 752–776.CrossRefGoogle Scholar
Kiyotaki, N. and Moore, J. (1997) Credit cycles. Journal of Political Economy 105 (2), 211–248.CrossRefGoogle Scholar
Mankiw, N. G. (1989) Real Business Cycles: A New Keynesian Perspective. NBER working papers 2882, National Bureau of Economic Research.CrossRefGoogle Scholar
Massaro, D. (2013) Heterogeneous expectations in monetary DSGE models. Journal of Economic Dynamics and Control 37 (3), 680–692.CrossRefGoogle Scholar
Pfajfar, D. and Santoro, E. (2010) Heterogeneity, learning and information stickiness in inflation expectations. Journal of Economic Behavior & Organization 75 (3), 426–444.CrossRefGoogle Scholar
Pfajfar, D. and Zakelj, B. (2011) Uncertainty and Disagreement in Forecasting Inflation: Evidence from the Laboratory (Replaced by CentrER DP 2012-072). Discussion paper 2011-053, Tilburg University, Center for Economic Research.CrossRefGoogle Scholar
Popoyan, L., Napoletano, M., and Roventini, A. (2017) Taming macroeconomic instability: Monetary and macro-prudential policy interactions in an agent-based model. Journal of Economic Behavior & Organization 134, 117–140.CrossRefGoogle Scholar
Romer, D. (2012) Advanced Macroeconomics. New York: McGraw-Hill.Google Scholar
Shiller, R. J. (1981) Do stock prices move too much to be justied by subsequent changes in dividends? American Economic Review 71 (3), 421–436.Google Scholar
Shiller, R. J. (1999) Human behavior and the efficiency of the financial system. In Taylor, J. B. and Woodford, M. (eds.), Handbook of Macroeconomics, vol. 1(C), chapter 20, pp. 1305–1340. Amsterdam: Elsevier, North Holland.CrossRefGoogle Scholar
Smith, V., Suchanek, G. L., and Williams, A. (1988) Bubbles, crashes, and endogenous expectations in experimental spot asset markets. Econometrica 56 (5), 1119–1151.CrossRefGoogle Scholar
Townsend, R. M. (1979) Optimal contracts and competitive markets with costly state verification. Journal of Economic Theory 21 (2), 265–293.CrossRefGoogle Scholar
Woodford, M. (1990) Learning to believe in sunspots. Econometrica 58 (2), 277–307.CrossRefGoogle Scholar