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Rational expectations in elections: some experimental results based on a multidimensional model

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  • Richard McKelvey
  • Peter Ordeshook

Abstract

While our experimental results do not show convincingly the superiority of our model over alternative hypotheses, these results do not reject the rational expectations approach to handling incomplete information in elections. This is not to say, of course, that our model provides the most appropriate treatment of incomplete information since it relies primarily on one source of information—polls. Certainly, other data exist—such as the historical record of the parties, primary election outcomes, and the coalitions observed at nominating conventions—which voters might use for information on their choices. What we hope our analysis has begun, however, is a more rigorous study of how citizens can interpret such data and the role played by the various media in supplying these data. Admittedly, the model presented here endows uninformed voters with substantial computational abilities, since even the brightest subjects in our experiments found their tasks challenging. The question arises, then, as to whether we can expect average citizens — and, in particular, “uninformed” citizens — to be capable of using polls in the way assumed by our model. Our experiments show only that our model is feasible, not that it describes actual voting behavior. Such questions can be answered only by examining actual election data. Our model, nevertheless, serves as a counter-example to the oft-repeated presumption that our democratic institutions can function “properly” only to the extent that citizens are informed on public issues and the positions of election candidates on those issues. That we do not find citizens conforming or even approximating this normative ideal should not be interpreted to mean that our institutions cannot function as designed. Copyright Martinus Nijhoff Publishers 1984

Suggested Citation

  • Richard McKelvey & Peter Ordeshook, 1984. "Rational expectations in elections: some experimental results based on a multidimensional model," Public Choice, Springer, vol. 44(1), pages 61-102, January.
  • Handle: RePEc:kap:pubcho:v:44:y:1984:i:1:p:61-102
    DOI: 10.1007/BF00124819
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    Citations

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    Cited by:

    1. Richard F. Potthoff, 2014. "Condorcet Completion Methods that Inhibit Manipulation through Exploiting Knowledge of Electorate Preferences," Games, MDPI, vol. 5(4), pages 1-30, October.
    2. Valentino Larcinese, 2007. "Does political knowledge increase turnout? Evidence from the 1997 British general election," Public Choice, Springer, vol. 131(3), pages 387-411, June.
    3. Dougherty, Keith L. & Kisaalita, Alice & McKissick, Jordan & Katz, Evan, 2020. "Stopping rules for majority voting: A public choice experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 175(C), pages 353-364.
    4. Thomas R. Palfrey, 2005. "Laboratory Experiments in Political Economy," Working Papers 91, Princeton University, Department of Economics, Center for Economic Policy Studies..
    5. Sugato Dasgupta & Kenneth C. Williams, 2002. "A Principal-Agent Model of Elections with Novice Incumbents," Journal of Theoretical Politics, , vol. 14(4), pages 409-438, October.
    6. Keith Dougherty & Brian Pitts & Justin Moeller & Robi Ragan, 2014. "An experimental study of the efficiency of unanimity rule and majority rule," Public Choice, Springer, vol. 158(3), pages 359-382, March.
    7. Cesar Martinelli & Thomas R. Palfrey, 2017. "Communication and Information in Games of Collective Decision: A Survey of Experimental Results," Working Papers 1065, George Mason University, Interdisciplinary Center for Economic Science.
    8. Hortala-Vallve, Rafael & Larcinese, Valentino, 2017. "The Perverse Consequences of Policy Restrictions in the Presence of Asymmetric Information," Political Science Research and Methods, Cambridge University Press, vol. 5(3), pages 411-425, July.
    9. Thomas R. Palfrey, 2005. "Laboratory Experiments in Political Economy," Working Papers 91, Princeton University, Department of Economics, Center for Economic Policy Studies..
    10. Jens Großer & Arthur Schram, 2010. "Public Opinion Polls, Voter Turnout, and Welfare: An Experimental Study," American Journal of Political Science, John Wiley & Sons, vol. 54(3), pages 700-717, July.
    11. Aristotelis Boukouras & Will Jennings & Lunzheng Li & Zacharias Maniadis, 2019. "Can Biased Polls Distort Electoral Results? Evidence From The Lab And The Field," Discussion Papers in Economics 19/06, Division of Economics, School of Business, University of Leicester.
    12. Boukouras, Aristotelis & Jennings, Will & Li, Lunzheng & Maniadis, Zacharias, 2023. "Can biased polls distort electoral results? Evidence from the lab," European Journal of Political Economy, Elsevier, vol. 78(C).
    13. repec:cep:stieop:48 is not listed on IDEAS
    14. repec:pri:cepsud:111palfrey is not listed on IDEAS
    15. Plott, Charles R. & Llewellyn, Morgan, 2015. "Information transfer and aggregation in an uninformed committee: A model for the selection and use of biased expert advice," European Journal of Political Economy, Elsevier, vol. 40(PB), pages 208-223.

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