IDEAS home Printed from https://ideas.repec.org/p/eid/wpaper/58148.html
   My bibliography  Save this paper

Common value elections with private information and informative priors: theory and experiments

Author

Listed:
  • Javier Rivas Ruiz

    (University of Bath)

  • F Mengel

    (University of Essex
    Maastricht University)

Abstract

We study efficiency and information aggregation in common value elections with contin-uous private signals and informative priors. We show that small elections are not generally efficient and that there are equilibria where some voters vote against their private signal even if it provides useful information and abstention is allowed. This is not the case in large elections, where the fraction of voters who vote against their private signal tends to zero. In an experiment, we then study how informativeness of priors and private signals impact efficiency and information aggregation in small elections. We find that there is a substantial amount of voting against the private signal. Moreover, while most experimental elections are efficient, we find that it is not generally the case that better private information leads to better decisions.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Javier Rivas Ruiz & F Mengel, 2015. "Common value elections with private information and informative priors: theory and experiments," Department of Economics Working Papers 44/15, University of Bath, Department of Economics.
  • Handle: RePEc:eid:wpaper:58148
    as

    Download full text from publisher

    File URL: https://purehost.bath.ac.uk/ws/files/158385918/common_value_elections_private_information.pdf
    File Function: Final published version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Marco Battaglini & Rebecca B. Morton & Thomas R. Palfrey, 2010. "The Swing Voter's Curse in the Laboratory," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(1), pages 61-89.
    2. Feddersen, Timothy J. & Pesendorfer, Wolfgang, 1999. "Abstention in Elections with Asymmetric Information and Diverse Preferences," American Political Science Review, Cambridge University Press, vol. 93(2), pages 381-398, June.
    3. Austen-Smith, David & Banks, Jeffrey S., 1996. "Information Aggregation, Rationality, and the Condorcet Jury Theorem," American Political Science Review, Cambridge University Press, vol. 90(1), pages 34-45, March.
    4. Myerson, Roger B., 1998. "Extended Poisson Games and the Condorcet Jury Theorem," Games and Economic Behavior, Elsevier, vol. 25(1), pages 111-131, October.
    5. Timothy Feddersen & Wolfgang Pesendorfer, 1997. "Voting Behavior and Information Aggregation in Elections with Private Information," Econometrica, Econometric Society, vol. 65(5), pages 1029-1058, September.
    6. Duggan, John & Martinelli, Cesar, 2001. "A Bayesian Model of Voting in Juries," Games and Economic Behavior, Elsevier, vol. 37(2), pages 259-294, November.
    7. Ruth Ben-Yashar & Igal Milchtaich, 2007. "First and second best voting rules in committees," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 29(3), pages 453-486, October.
    8. Martinelli, Cesar, 2006. "Would rational voters acquire costly information?," Journal of Economic Theory, Elsevier, vol. 129(1), pages 225-251, July.
    9. Morton, Rebecca B. & Tyran, Jean-Robert, 2011. "Let the experts decide? Asymmetric information, abstention, and coordination in standing committees," Games and Economic Behavior, Elsevier, vol. 72(2), pages 485-509, June.
    10. Guarnaschelli, Serena & McKelvey, Richard D. & Palfrey, Thomas R., 2000. "An Experimental Study of Jury Decision Rules," American Political Science Review, Cambridge University Press, vol. 94(2), pages 407-423, June.
    11. Javier Rivas & Carmelo Rodríguez-Álvarez, 2017. "Deliberation, Leadership and Information Aggregation," Manchester School, University of Manchester, vol. 85(4), pages 395-429, July.
    12. Myerson, Roger B., 2000. "Large Poisson Games," Journal of Economic Theory, Elsevier, vol. 94(1), pages 7-45, September.
    13. Feddersen, Timothy J & Pesendorfer, Wolfgang, 1996. "The Swing Voter's Curse," American Economic Review, American Economic Association, vol. 86(3), pages 408-424, June.
    14. Oliveros, Santiago, 2013. "Abstention, ideology and information acquisition," Journal of Economic Theory, Elsevier, vol. 148(3), pages 871-902.
    15. Adam Meirowitz, 2002. "Informative voting and condorcet jury theorems with a continuum of types," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 19(1), pages 219-236.
    16. McLennan, Andrew, 1998. "Consequences of the Condorcet Jury Theorem for Beneficial Information Aggregation by Rational Agents," American Political Science Review, Cambridge University Press, vol. 92(2), pages 413-418, June.
    17. David M. Grether, 1980. "Bayes Rule as a Descriptive Model: The Representativeness Heuristic," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 95(3), pages 537-557.
    18. Coughlan, Peter J., 2000. "In Defense of Unanimous Jury Verdicts: Mistrials, Communication, and Strategic Voting," American Political Science Review, Cambridge University Press, vol. 94(2), pages 375-393, June.
    19. Krishna, Vijay & Morgan, John, 2012. "Voluntary voting: Costs and benefits," Journal of Economic Theory, Elsevier, vol. 147(6), pages 2083-2123.
    20. Kawamura, Kohei & Vlaseros, Vasileios, 2017. "Expert information and majority decisions," Journal of Public Economics, Elsevier, vol. 147(C), pages 77-88.
    21. Marco Battaglini & Rebecca B. Morton & Thomas R. Palfrey, 2008. "Information Aggregation and Strategic Abstention in Large Laboratory Elections," American Economic Review, American Economic Association, vol. 98(2), pages 194-200, May.
    22. Joseph C. McMurray, 2013. "Aggregating Information by Voting: The Wisdom of the Experts versus the Wisdom of the Masses," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 80(1), pages 277-312.
    23. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Herrera, Helios & Llorente-Saguer, Aniol & McMurray, Joseph C., 2019. "Information aggregation and turnout in proportional representation: A laboratory experiment," Journal of Public Economics, Elsevier, vol. 179(C).
    2. Joseph Campbell & Alessandra Casella & Lucas de Lara & Victoria Mooers & Dilip Ravindran, 2022. "Liquid Democracy. Two Experiments on Delegation in Voting," Papers 2212.09715, arXiv.org.
    3. Tsakas, Nikolas & Xefteris, Dimitrios, 2021. "Stress-testing the runoff rule in the laboratory," Games and Economic Behavior, Elsevier, vol. 128(C), pages 18-38.
    4. Hyoungsik Noh, 2023. "Conservativeness in jury decision-making," Theory and Decision, Springer, vol. 95(1), pages 151-172, July.
    5. Darius Schlangenotto & Wendelin Schnedler & Radovan Vadovič, 2020. "Against All Odds: Tentative Steps toward Efficient Information Sharing in Groups," Games, MDPI, vol. 11(3), pages 1-24, August.
    6. Pogorelskiy. Kirill & Shum, Matthew, 2019. "News We Like to Share : How News Sharing on Social Networks Influences Voting Outcomes," The Warwick Economics Research Paper Series (TWERPS) 1199, University of Warwick, Department of Economics.
    7. Pogorelskiy, Kirill & Shum, Matthew, 2019. "News We Like to Share: How News Sharing on Social Networks Influences Voting Outcomes," CAGE Online Working Paper Series 427, Competitive Advantage in the Global Economy (CAGE).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bouton, Laurent & Castanheira, Micael & Llorente-Saguer, Aniol, 2016. "Divided majority and information aggregation: Theory and experiment," Journal of Public Economics, Elsevier, vol. 134(C), pages 114-128.
    2. Bouton, Laurent & Llorente-Saguer, Aniol & Malherbe, Frédéric, 2017. "Unanimous rules in the laboratory," Games and Economic Behavior, Elsevier, vol. 102(C), pages 179-198.
    3. Sourav Bhattacharya, 2006. "Preference Monotonicity and Information Aggregation in Elections," Working Paper 325, Department of Economics, University of Pittsburgh, revised Dec 2008.
    4. Großer, Jens & Seebauer, Michael, 2016. "The curse of uninformed voting: An experimental study," Games and Economic Behavior, Elsevier, vol. 97(C), pages 205-226.
    5. Herrera, Helios & Llorente-Saguer, Aniol & McMurray, Joseph C., 2019. "Information aggregation and turnout in proportional representation: A laboratory experiment," Journal of Public Economics, Elsevier, vol. 179(C).
    6. Gratton, Gabriele, 2014. "Pandering and electoral competition," Games and Economic Behavior, Elsevier, vol. 84(C), pages 163-179.
    7. Buechel, Berno & Mechtenberg, Lydia, 2019. "The swing voter's curse in social networks," Games and Economic Behavior, Elsevier, vol. 118(C), pages 241-268.
    8. Bhattacharya, Sourav & Duffy, John & Kim, Sun-Tak, 2014. "Compulsory versus voluntary voting: An experimental study," Games and Economic Behavior, Elsevier, vol. 84(C), pages 111-131.
    9. John Duffy & Sourav Bhattacharya & Sun-Tak Kim, 2012. "Compulsory versus Voluntary Voting: An Experimental Study," Working Paper 492, Department of Economics, University of Pittsburgh, revised Aug 2013.
    10. Kohei Kawamura & Vasileios Vlaseros, 2015. "Expert Information and Majority Decisions," Edinburgh School of Economics Discussion Paper Series 261, Edinburgh School of Economics, University of Edinburgh.
    11. Mark T. Le Quement & Isabel Marcin, 2016. "Communication and voting in heterogeneous committees: An experimental study," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2016_05, Max Planck Institute for Research on Collective Goods, revised Oct 2016.
    12. Kawamura, Kohei & Vlaseros, Vasileios, 2017. "Expert information and majority decisions," Journal of Public Economics, Elsevier, vol. 147(C), pages 77-88.
    13. Morton, Rebecca B. & Piovesan, Marco & Tyran, Jean-Robert, 2019. "The dark side of the vote: Biased voters, social information, and information aggregation through majority voting," Games and Economic Behavior, Elsevier, vol. 113(C), pages 461-481.
    14. Gerling, Kerstin & Gruner, Hans Peter & Kiel, Alexandra & Schulte, Elisabeth, 2005. "Information acquisition and decision making in committees: A survey," European Journal of Political Economy, Elsevier, vol. 21(3), pages 563-597, September.
    15. Sourav Bhattacharya, 2013. "Condorcet Jury Theorem in a Spatial Model of Elections," Working Paper 517, Department of Economics, University of Pittsburgh, revised Nov 2013.
    16. Meirowitz, Adam, 2004. "In Defense of Exclusionary Deliberation: Communication and Voting with Private Beliefs and Values," Papers 04-06-2004, Princeton University, Research Program in Political Economy.
    17. Krishna, Vijay & Morgan, John, 2012. "Voluntary voting: Costs and benefits," Journal of Economic Theory, Elsevier, vol. 147(6), pages 2083-2123.
    18. Bouton, Laurent & Castanheira, Micael & Llorente-Saguer, Aniol, 2016. "Divided majority and information aggregation: Theory and experiment," Journal of Public Economics, Elsevier, vol. 134(C), pages 114-128.
    19. Tajika, Tomoya, 2022. "Voting on tricky questions," Games and Economic Behavior, Elsevier, vol. 132(C), pages 380-389.
    20. Mechtenberg, Lydia & Tyran, Jean-Robert, 2019. "Voter motivation and the quality of democratic choice," Games and Economic Behavior, Elsevier, vol. 116(C), pages 241-259.

    More about this item

    JEL classification:

    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • D78 - Microeconomics - - Analysis of Collective Decision-Making - - - Positive Analysis of Policy Formulation and Implementation

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eid:wpaper:58148. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Scholarly Communications Librarian (email available below). General contact details of provider: https://edirc.repec.org/data/debatuk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.