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Coordination, Moderation, and Institutional Balancing in American Presidential and House Elections

Published online by Cambridge University Press:  01 March 2000

Walter R. Mebane Jr.*
Affiliation:
Cornell University

Abstract

Voters have been coordinating their choices for president and House of Representatives in recent presidential election years, with each voter using a strategy that features policy moderation. Coordination is defined as a noncooperative rational expectations equilibrium among voters, in which each voter has both common knowledge and private information about the election outcome. Stochastic choice models estimated using individual-level NES data from 1976–96 support coordination versus a model in which voters act nonstrategically to moderate policy. The empirical coordinating model satisfies the fixed-point condition that defines the common knowledge expectation voters have about the outcome in the theoretical equilibrium. The proportion of voters who split their ticket in order to balance the House with the president has been small but large enough to affect election outcomes. Moderation has usually been based on voters' expectations that the president will be at least an equal of the House in determining postelection policy.

Type
Articles
Copyright
Copyright © American Political Science Association 2000

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References

REFERENCES

Alesina, Alberto, Londregan, John, and Rosenthal, Howard. 1993. “A Model of the Political Economy of the United States.” American Political Science Review 87 (03): 1233.CrossRefGoogle Scholar
Alesina, Alberto, and Rosenthal, Howard. 1989. “Partisan Cycles in Congressional Elections and the Macroeconomy.” American Political Science Review 83 (06): 373–98.CrossRefGoogle Scholar
Alesina, Alberto, and Rosenthal, Howard. 1995. Partisan Politics, Divided Government, and the Economy. New York: Cambridge University Press.CrossRefGoogle Scholar
Alesina, Alberto, and Rosenthal, Howard. 1996. “A Theory of Divided Government.” Econometrica 64 (11): 1311–41.CrossRefGoogle Scholar
Alesina, Alberto, Roubini, Nouriel, and Cohen, Gerald D.. 1997. Political Cycles and the Macroeconomy. Cambridge, MA: MIT Press.CrossRefGoogle Scholar
Alvarez, R. Michael, and Schousen, Matthew M.. 1993. “Policy Moderation of Conflicting Expectations: Testing the Intentional Models of Split-ticket Voting.” American Politics Quarterly 21 (4): 410–38.CrossRefGoogle Scholar
Aumann, Robert J. 1976. “Agreeing to Disagree.” Annals of Statistics 4 (11): 1236–9.CrossRefGoogle Scholar
Barndorff-Nielsen, O. E., and Cox, D. R.. 1994. Inference and Asymptotics. London: Chapman and Hall.CrossRefGoogle Scholar
Billingsley, Patrick. 1986. Probability and Measure. 2d ed. New York: Wiley.Google Scholar
Born, Richard. 1994a. “Split-ticket Voters, Divided Government and Fiorina's Policy-balancing Model.” Legislative Studies Quarterly 19 (1): 95115.CrossRefGoogle Scholar
Born, Richard. 1994b. “Rejoinder.” Legislative Studies Quarterly 19 (1): 126–9.CrossRefGoogle Scholar
Börsch-Supan, Axel. 1990. “On the Compatibility of Nested Logit Models with Utility Maximization.” Journal of Econometrics 43 (03): 373–88.CrossRefGoogle Scholar
Bowden, Roger J. 1987. “Repeated Sampling in the Presence of Publication Effects.” Journal of the American Statistical Association 82 (06): 476–84.CrossRefGoogle Scholar
Brady, Henry, and Sniderman, Paul M.. 1985. “Attitude Attribution: A Group Basis for Political Reasoning.” American Political Science Review 79 (12): 1061–78.CrossRefGoogle Scholar
Burden, Barry C., and Kimball, David C.. 1998. “A New Approach to the Study of Ticket Splitting.” American Political Science Review 92 (09): 533–44.CrossRefGoogle Scholar
Calvert, Randall L., and Ferejohn, John A.. 1983. “Coattail Voting in Recent Presidential Elections.” American Political Science Review 11 (06): 407–19.CrossRefGoogle Scholar
Campbell, Angus, and Miller, Warren E.. 1957. “The Motivational Basis of Straight and Split Ticket Voting.” American Political Science Review 51 (06): 293312.CrossRefGoogle Scholar
Cox, Gary W. 1997. Making Votes Count: Strategic Coordination in the World's Electoral Systems. New York: Cambridge University Press.CrossRefGoogle Scholar
Dastoor, Naorayex K. 1985. “A Classical Approach to Cox's Test for Non-nested Hypotheses.” Journal of Econometrics 27 (03): 363–70.CrossRefGoogle Scholar
Enelow, James C., and Hinich, Melvin J.. 1982. “Ideology, Issues, and the Spatial Theory of Elections.” American Political Science Review 76 (09): 493501.CrossRefGoogle Scholar
Enelow, James C., and Hinich, Melvin J.. 1983a. “Voting One Issue at a Time: The Question of Voter Forecasts.” American Political Science Review 11 (06): 435–45.CrossRefGoogle Scholar
Enelow, James C., and Hinich, Melvin J.. 1983b. “Voter Expectations in Multi-Stage Voting Systems: An Equilibrium Result.” American Journal of Political Science 27 (11): 820–7.CrossRefGoogle Scholar
Ferejohn, John A., and Calvert, Randall L.. 1983. “Presidential Coattails in Historical Perspective.” American Journal of Political Science 28 (02): 127–46.CrossRefGoogle Scholar
Fey, Mark. 1997. “Stability and Coordination in Duverger's Law: A Formal Model of Preelection Polls and Strategic Voting.” American Political Science Review 91 (03): 135–47.CrossRefGoogle Scholar
Fiorina, Morris P. 1981. Retrospective Voting in American National Elections. New Haven, CT: Yale University Press.Google Scholar
Fiorina, Morris P. 1988. “The Reagan Years: Turning to the Right or Groping Toward the Middle.” In The Resurgence of Conservatism in Anglo-American Democracies, ed. Cooper, Barry, Kornberg, Allan, and Mishler, William. Durham, NC: Duke University Press. Pp. 430–59.Google Scholar
Fiorina, Morris P. 1992. Divided Government. New York: Macmillan.Google Scholar
Fiorina, Morris P. 1994. “Response to Born.” Legislative Studies Quarterly 19 (1): 117–25.CrossRefGoogle Scholar
Franklin, Charles H. 1984. “Issue Preferences, Socialization, and the Evolution of Party Identification.” American Journal of Political Science 28 (08): 459–78.CrossRefGoogle Scholar
Franklin, Charles H., and Jackson, John E.. 1983. “The Dynamics of Party Identification.” American Political Science Review 77 (12): 957–73.CrossRefGoogle Scholar
Frymer, Paul. 1994. “Ideological Consensus within Divided Government.” Political Science Quarterly 109 (2): 287311.CrossRefGoogle Scholar
Fudenberg, Drew, and Tirole, Jean. 1991. Game Theory. Cambridge, MA: MIT Press.Google Scholar
Galambos, Janos. 1987. The Asymptotic Theory of Extreme Order Statistics. 2d ed. Malabar, FL: Robert E. Krieger.Google Scholar
Grossman, Sanford J. 1989. The Informational Role of Prices. Cambridge, MA: MIT Press.Google Scholar
Ingberman, Daniel, and Villani, John. 1993. “An Institutional Theory of Divided Government and Party Polarization.” American Journal of Political Science 37 (05): 429–71.CrossRefGoogle Scholar
Isaki, Cary T., and Fuller, Wayne A.. 1982. “Survey Design Under the Regression Superpopulation Model.” Journal of the American Statistical Association 11 (03): 8996.CrossRefGoogle Scholar
Jackson, John E. 1975. “Issues, Party Choices and Presidential Votes.” American Journal of Political Science 19 (05): 161–85.CrossRefGoogle Scholar
Johnson, Norman L., Kotz, Samuel, and Balakrishnan, N.. 1995. Continuous Univariate Distributions, Volume 2, 2d ed. New York: John Wiley & Sons.Google Scholar
Kreps, David M. 1977. “A Note on ‘Fulfilled Expectations’ Equilibria.” Journal of Economic Theory 14 (02): 3243.CrossRefGoogle Scholar
Maddala, G. S. 1983. Limited-Dependent and Qualitative Variables in Econometrics. New York: Cambridge University Press.CrossRefGoogle Scholar
Markus, Gregory B. 1988. “The Impact of Personal and National Economic Conditions on the Presidential Vote: A Pooled Cross-Sectional Analysis.” American Journal of Political Science 32 (02): 137–54.CrossRefGoogle Scholar
Markus, Gregory B., and Converse, Philip E.. 1979. “A Dynamic Simultaneous Equation Model of Electoral Choice.” American Political Science Review 73 (12): 1055–70.CrossRefGoogle Scholar
McFadden, Daniel. 1978. “Modelling the Choice of Residential Location.” In Spatial Interaction Theory and Planning Models, ed. Karlqvist, Anders, Lundqvist, Lars, Snickars, Folke, and Weibull, Jörgen W.. New York: North-Holland. Pp. 7596.Google Scholar
McKelvey, Richard D., and Ordeshook, Peter C.. 1984. “Rational Expectations in Elections: Some Experimental Results Based on a Multidimensional Model.” Public Choice 44 (1): 61102.CrossRefGoogle Scholar
McKelvey, Richard D., and Ordeshook, Peter C.. 1985a. “Elections with Limited Information: A Fulfilled Expectations Model Using Contemporaneous Poll and Endorsement Data as Information Sources.” Journal of Economic Theory 36 (06): 5585.CrossRefGoogle Scholar
McKelvey, Richard D., and Ordeshook, Peter C.. 1985b. “Sequential Elections with Limited Information.” American Journal of Political Science 29 (08): 480512.CrossRefGoogle Scholar
McKelvey, Richard D., and Page, Talbot. 1990. “Public and Private Information: An Experimental Study of Information Pooling.” Econometrica 58 (11): 1321–39.CrossRefGoogle Scholar
Mebane, Walter R. Jr. 1998. “Rational Expectations Coordinating Voting in American Presidential and House Elections.” Paper presented at the 1998 Summer Methods Conference, University of California San Diego, 07 23–26.Google Scholar
Miller, Alan William. 1997. Atlas of United States Presidential Elections: 1932–1996. Richmond, VA: Klipsan.Google Scholar
Miller, Warren E., and Miller, Arthur H.. 1977. The CPS 1976 American National Election Study [computer file] (Study #7381). Ann Arbor: Center for Political Studies, University of Michigan [original producer]. Ann Arbor, MI: Inter-University Consortium for Political and Social Research [producer and distributor].Google Scholar
Miller, Warren E., and the National Election Studies. 1982. American National Election Study, 1980: Pre- and Post-Election Survey [computer file] (Study #7763). Ann Arbor: Center for Political Studies, University of Michigan [original producer]. 2d ICPSR ed. Ann Arbor, MI: Inter-University Consortium for Political and Social Research [producer and distributor].Google Scholar
Miller, Warren E., and the National Election Studies. 1985. American National Election Study, 1984: Continuous Monitoring Survey File [computer file] (Study #8298). Ann Arbor: Center for Political Studies, University of Michigan [original producer]. 1st ICPSR ed. Ann Arbor, MI: Inter-University Consortium for Political and Social Research [producer and distributor].Google Scholar
Miller, Warren E., and the National Election Studies. 1986. American National Election Study, 1984: Pre- and Post-Election Survey [computer file] (Study #8298). Ann Arbor: Center for Political Studies, University of Michigan [original producer]. 2d ICPSR ed. Ann Arbor, MI: Inter-University Consortium for Political and Social Research [producer and distributor].Google Scholar
Miller, Warren E., and the National Election Studies. 1989. American National Election Study, 1988: Pre- and Post-Election Survey [computer file] (Study #9196). Ann Arbor: Center for Political Studies, University of Michigan [original producer]. 2nd ICPSR ed. Ann Arbor, MI: Inter-University Consortium for Political and Social Research [producer and distributor].Google Scholar
Miller, Warren E., Kinder, Donald R., Rosenstone, Steven J., and the National Election Studies. 1993. American National Election Study, 1992: Pre- and Post-Election Survey [enhanced with 1990 and 1991 data] [computer file] (Study #6067). Conducted by University of Michigan, Center for Political Studies. Ann Arbor: University of Michigan, Center for Political Studies, and Inter-University Consortium for Political and Social Research [producers]. Ann Arbor, MI: Inter-University Consortium for Political and Social Research [distributor].Google Scholar
Moran, P. A. P. 1971a. “The Uniform Consistency of Maximum-likelihood Estimators.” Proceedings of the Cambridge Philosophical Society 70 (3): 435–9.CrossRefGoogle Scholar
Moran, P. A. P. 1971b. “Maximum-likelihood Estimation in Non-standard Conditions.” Proceedings of the Cambridge Philosophical Society 70 (3): 441–50.CrossRefGoogle Scholar
Nielsen, Lars Tyge, Brandenburger, Adam, Geanakoplos, John, McKelvey, Richard, and Page, Talbot. 1990. “Common Knowledge of an Aggregate of Expectations.” Econometrica 58 (09): 1235–9.CrossRefGoogle Scholar
Page, Benjamin I., and Jones, Calvin C.. 1979. “Reciprocal Effects of Policy Preferences, Party Loyalties and the Vote.” American Political Science Review 73 (12): 1071–89.CrossRefGoogle Scholar
Palfrey, Thomas R. 1989. “A Mathematical Proof of Duverger's Law.” In Models of Strategic Choice in Politics, ed. Ordeshook, Peter C.. Ann Arbor: University of Michigan Press.Google Scholar
Palmer, John L., and Sawhill, Isabel V., eds. 1984. The Reagan Record: An Assessment of America's Changing Domestic Priorities. Cambridge, MA: Ballinger.Google Scholar
Resnick, Sidney I. 1987. Extreme Values, Regular Variation, and Point Processes. New York: Springer-Verlag.CrossRefGoogle Scholar
Resnick, Sidney, and Roy, Rishin. 1990. “Multivariate Extremal Processes, Leader Processes and Dynamic Choice Models.” Advances in Applied Probability 22 (2): 309–31.CrossRefGoogle Scholar
Rosenstone, Steven J., Kinder, Donald R., Miller, Warren E., and the National Election Studies. 1991. American National Election Study, 1996: Pre- and Post-Election Survey [computer file] (Study #6896). 2d release. Ann Arbor: University of Michigan, Center for Political Studies [producer]. Ann Arbor, MI: Inter-University Consortium for Political and Social Research [distributor].Google Scholar
Särndal, Carl-Erik, Swensson, Bengt, and Wretman, Jan. 1992. Model Assisted Survey Sampling. New York: Springer-Verlag.CrossRefGoogle Scholar
SAS Institute. 19891995. “SAS (r) PROC NLIN.” Proprietary Software Release 6.11. Cary, NC: SAS Institute.Google Scholar
SAS Institute. 1990. SAS/STAT User's Guide, Version 6, 4th ed. Cary, NC: SAS Institute.Google Scholar
Self, Steven G., and Liang, Kung-Yee. 1987. “Asymptotic Properties of Maximum Likelihood Estimators and Likelihood Ratio Tests under Nonstandard Conditions.” Journal of the American Statistical Association 82 (06): 605–10.CrossRefGoogle Scholar
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