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Confronting Political—Economic Theories of Voting with Evidence

Published online by Cambridge University Press:  04 January 2017

Robert Grafstein
Affiliation:
Department of Political Science, Baldwin Hall, University of Georgia, Athens, GA 30602. e-mail: bobgraf@arches.uga.edu
Ann Moser
Affiliation:
Department of Economics, Brooks Hall, University of Georgia, Athens, GA 30602-6254. e-mail: annwmoser@yahoo.com

Abstract

This paper illustrates one strategy for testing a theory of economic influences on voting. We use a competitive equilibrium model of the economy to determine the impact of an individual's economic position on his or her economic interests and, ultimately, political interests. We then test whether this impact is observed in voting behavior, addressing the resulting specification and estimation problems in the context of U.S. presidential election data. Our empirical results suggest that, despite these formidable problems, we can usefully connect political-economic models and discrete-choice (probit) models of voting.

Type
Research Article
Copyright
Copyright © 2001 by the Society for Political Methodology 

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References

Achen, Christopher H. 1992. “Social Psychology, Demographic Variables, and Linear Regression: Breaking the Iron Triangle in Voting Research.” Political Behavior 14: 195211.Google Scholar
Achen, Christopher H. 2000. “Warren Miller and the Future of Political Data Analysis.” Political Analysis 8: 142146.Google Scholar
Alesina, Alberto, and Roubini, Nouriel, with Cohen, Gerald D. 1997. Political Cycles and the Macroeconomy. Cambridge, MA: MIT Press.Google Scholar
Auerbach, Alan J., Gokhale, Jagadeesh, and Kotlikoff, Laurence J. 1994. “Generational Accounts: A Meaningful Way to Evaluate Fiscal Policy.” Journal of Economic Perspectives 8: 7394.Google Scholar
Beck, Nathaniel. 1992. “The Methodology of Cointegration.” Political Analysis 4: 237248.CrossRefGoogle Scholar
Blomberg, S. Brock, and Hess, Gregory D. 2000. “Is the Business Cycle for Real?” Federal Reserve Bank of Cleveland Working Paper 00-16 (available at http://www.clev.frb.org).CrossRefGoogle Scholar
De Boef, Suzanna, and Granato, Jim. 1997. “Near-Integrated Data and the Analysis of Political Relationships.” American Journal of Political Science 41: 619640.Google Scholar
Drazen, Allan. 2000. Political Economy in Macroeconomics. Princeton, NJ: Princeton University Press.Google Scholar
Economic Report of the President. 1998. Washington, DC: U.S. Government Printing Office.Google Scholar
Faust, Jon, and Irons, John S. 1999. “Money, Politics, and the Post-war Business Cycle.” Journal of Monetary Economics 43: 6189.Google Scholar
Franklin, Charles H., and Jackson, John E. 1983. “The Dynamics of Party Identification.” American Political Science Review 77: 957973.Google Scholar
Freeman, John R., and Houser, Daniel. 1998. “A Computable Equilibrium Model for the Study of Political Economy.” American Journal of Political Science 43: 628660.Google Scholar
Geweke, John. 1999. “Computational Experiments and Reality.” Working paper (9 June).Google Scholar
Granato, Jim, and Smith, Renee. 1994. “Exogeneity, Inference, and Granger Causality: Part I, The Stationary Case.” Political Methodologist 5: 2428.Google Scholar
Greene, William H. 2000. Econometric Analysis. Upper Saddle River, NJ: Prentice Hall.Google Scholar
Hout, Michael, Brooks, Clem, and Manza, Jeff. 1995. “Class Voting in the United States, 1948–92.” American Sociological Review 60: 805828.Google Scholar
Joines, Douglas H. 1981. “Estimates of Effective Marginal Tax Rates on Factor Incomes.” Journal of Business 54: 191226.CrossRefGoogle Scholar
Juselius, Katarina. 1999. “Models and Relations in Economics and Econometrics.” Paper 99-13, Institute of Economics, University of Copenhagen (available at http://www.econ.ku.dk/okokj).CrossRefGoogle Scholar
Kinder, Donald R., and Roderick Kiewiet, D. 1979. “Economic Discontent and Political Behavior: The Role of Personal Grievances and Collective Economic Judgments in Congressional Voting.” American Journal of Political Science 23: 495527.Google Scholar
Kydland, Finn E., and Prescott, Edward C. 1996. “The Computational Experiment: An Econometric Tool.” Journal of Economic Perspectives 10: 6986.Google Scholar
Lewis-Beck, Michael. 1988. Economics and Elections: The Major Western Democracies. Ann Arbor: University of Michigan Press.Google Scholar
Lockerbie, Brad. 1989. “Change in Party Identification: The Role of Prospective Party Evaluations.” American Politics Quarterly 17: 291311.CrossRefGoogle Scholar
Lucas, Robert E. Jr. 1976. “Econometric Policy Evaluation: A Critique.” In The Phillips Curve and Labor Markets, eds. Brunner, Karl and Meltzer, Allan H. Carnegie-Rochester Series on Public Policy, Vol. 1. Amsterdam: North-Holland.Google Scholar
McGrattan, Ellen R. 1994. “The Macroeconomic Effects of Distortionary Taxation.” Journal of Monetary Economics 33: 573601.Google Scholar
Mood, Alexander M., Graybill, Franklin A., and Boes, Duane C. 1974. Introduction to the Theory of Statistics. New York: McGraw-Hill.Google Scholar
Murphy, Kevin M., and Topel, Robert H. 1985. “Estimation and Inference in Two-Step Econometric Models.” Journal of Business and Economic Statistics 3: 370379.Google Scholar
Nagler, Jonathan, and De Boef, Suzanna. 1999. “Economic Voting: Enlightened Self-Interest and Economic Reference Groups.” Paper presented at the Annual Meeting of the Midwest Political Science Association.Google Scholar
Padovano, Fabio, and Galli, Emma. 2001. “Tax Rates and Economic Growth in the OECD Countries (1950–1990).” Economic Inquiry 39: 4457.Google Scholar
Sargent, Thomas J. 1989. “Two Models of Measurements and the Investment Accelerator.” Journal of Political Economy 97: 251287.Google Scholar
Schorfheide, Frank. 1999. “A Unified Econometric Framework for the Evaluation of DSGE Models.” Unpublished manuscript.Google Scholar
Sims, Christopher A. 1980. “Macroeconomics and Reality.” Econometrica 48: 149.Google Scholar
Stokey, Nancy L., and Lucas, Robert E. Jr., with Prescott, Edward C. 1989. Recursive Methods in Economic Dynamics. Cambridge, MA: Harvard University Press.Google Scholar
Uhlig, Harald. 1999. “A Toolkit for Analysing Nonlinear Dynamic Stochastic Models Easily.” In Computational Methods for the Study of Dynamic Economies, eds. Marimon, Ramon and Scott, Andrew. Oxford: Oxford University Press.Google Scholar
Williams, John T. 1992. “What Goes Around Comes Around: Unit Roots and Cointegration.” Political Analysis 4: 249254.Google Scholar
Wood, B. Dan. 2000. “The Federal Balanced Budget Force: Modeling Variations from 1904–1996.” Journal of Politics 62: 817845.Google Scholar