IDEAS home Printed from https://ideas.repec.org/a/eee/poleco/v78y2023ics0176268023000277.html
   My bibliography  Save this article

Can biased polls distort electoral results? Evidence from the lab

Author

Listed:
  • Boukouras, Aristotelis
  • Jennings, Will
  • Li, Lunzheng
  • Maniadis, Zacharias

Abstract

We introduce a new methodological approach for studying the effect of biased polls on election outcomes and apply it to a set of new experiments with 375 participants. Voters may observe and learn about the bias by playing multiple voting rounds. While in control conditions, polls are unbiased, in treatment conditions, participants view only poll results where a particular candidate’s vote share is the largest. This candidate is consistently elected more often in the treatments than in the controls, because biased polls robustly distort voters’ expectations about vote shares. This effect holds after eighteen election rounds, out of which the first three are practice rounds, but somewhat more weakly in our main treatment where voters are explicitly informed about the bias.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:poleco:v:78:y:2023:i:c:s0176268023000277
    DOI: 10.1016/j.ejpoleco.2023.102383
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0176268023000277
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ejpoleco.2023.102383?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kenneth Brown & Charles Zech, 1973. "Welfare effects of announcing election forecasts," Public Choice, Springer, vol. 14(1), pages 117-123, March.
    2. Ben Greiner, 2015. "Subject pool recruitment procedures: organizing experiments with ORSEE," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 1(1), pages 114-125, July.
    3. 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.
    4. Alan Gerber & Mitchell Hoffman & John Morgan & Collin Raymond, 2020. "One in a Million: Field Experiments on Perceived Closeness of the Election and Voter Turnout," American Economic Journal: Applied Economics, American Economic Association, vol. 12(3), pages 287-325, July.
    5. McKelvey, Richard D. & Ordeshook, Peter C., 1985. "Elections with limited information: A fulfilled expectations model using contemporaneous poll and endorsement data as information sources," Journal of Economic Theory, Elsevier, vol. 36(1), pages 55-85, June.
    6. 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.
    7. Chen, Daniel L. & Schonger, Martin & Wickens, Chris, 2016. "oTree—An open-source platform for laboratory, online, and field experiments," Journal of Behavioral and Experimental Finance, Elsevier, vol. 9(C), pages 88-97.
    8. Fleitas, Daniel W., 1971. "Bandwagon and Underdog Effects in Minimal-Information Elections," American Political Science Review, Cambridge University Press, vol. 65(2), pages 434-438, June.
    9. Esteban Klor & Eyal Winter, 2007. "The welfare effects of public opinion polls," International Journal of Game Theory, Springer;Game Theory Society, vol. 35(3), pages 379-394, February.
    10. Jacob Goeree & Jens Großer, 2007. "Welfare Reducing Polls," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 31(1), pages 51-68, April.
    11. Forsythe, Robert & Rietz, Thomas & Myerson, Roger & Weber, Robert, 1996. "An Experimental Study of Voting Rules and Polls in Three-Candidate Elections," International Journal of Game Theory, Springer;Game Theory Society, vol. 25(3), pages 355-383.
    12. Bock, Olaf & Baetge, Ingmar & Nicklisch, Andreas, 2014. "hroot: Hamburg Registration and Organization Online Tool," European Economic Review, Elsevier, vol. 71(C), pages 117-120.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. 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.
    3. 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.
    4. Marina Agranov & Jacob K Goeree & Julian Romero & Leeat Yariv, 2018. "What Makes Voters Turn Out: The Effects of Polls and Beliefs," Journal of the European Economic Association, European Economic Association, vol. 16(3), pages 825-856.
    5. Gersbach, Hans & Mamageishvili, Akaki & Tejada, Oriol, 2021. "The effect of handicaps on turnout for large electorates with an application to assessment voting," Journal of Economic Theory, Elsevier, vol. 195(C).
    6. Thomas R. Palfrey, 2005. "Laboratory Experiments in Political Economy," Working Papers 91, Princeton University, Department of Economics, Center for Economic Policy Studies..
    7. Engel, Christoph & Kube, Sebastian & Kurschilgen, Michael, 2021. "Managing expectations: How selective information affects cooperation and punishment in social dilemma games," Journal of Economic Behavior & Organization, Elsevier, vol. 187(C), pages 111-136.
    8. 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.
    9. Alberto Grillo, 2017. "Risk aversion and bandwagon effect in the pivotal voter model," Public Choice, Springer, vol. 172(3), pages 465-482, September.
    10. Gersbach, Hans & Mamageishvili, Akaki & Tejada, Oriol, 2019. "The Effect of Handicaps on Turnout for Large Electorates: An Application to Assessment Voting," CEPR Discussion Papers 13921, C.E.P.R. Discussion Papers.
    11. Jinhee Jo, 2023. "Informational roles of pre‐election polls," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 25(3), pages 441-458, June.
    12. repec:hal:cesptp:hal-04677596 is not listed on IDEAS
    13. Thomas R. Palfrey, 2005. "Laboratory Experiments in Political Economy," Working Papers 91, Princeton University, Department of Economics, Center for Economic Policy Studies..
    14. Chan, Shu Wing & Schilizzi, Steven & Iftekhar, Md Sayed & Da Silva Rosa, Raymond, 2019. "Web-based experimental economics software: How do they compare to desirable features?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 23(C), pages 138-160.
    15. Florian Baumann & Tim Friehe & Pascal Langenbach, 2020. "Fines versus Damages: Experimental Evidence on Care Investments," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2020_08, Max Planck Institute for Research on Collective Goods, revised Mar 2024.
    16. Burkhard Schipper & Hee Yeul Woo, 2012. "Political Awareness and Microtargeting of Voters in Electoral Competition," Working Papers 124, University of California, Davis, Department of Economics.
    17. Lechthaler, Wolfgang & Ring, Patrick, 2021. "Labor force participation, job search effort and unemployment insurance in the laboratory," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 748-778.
    18. Lambsdorff, Johann Graf & Grubiak, Kevin & Werner, Katharina, 2023. "Intrinsic Motivation vs. Corruption? Experimental Evidence on the Performance of Officials," MPRA Paper 118153, University Library of Munich, Germany.
    19. M. Djiguemde & D. Dubois & A. Sauquet & M. Tidball, 2022. "Continuous Versus Discrete Time in Dynamic Common Pool Resource Game Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(4), pages 985-1014, August.
    20. Daniel Woods & Mustafa Abdallah & Saurabh Bagchi & Shreyas Sundaram & Timothy Cason, 2022. "Network defense and behavioral biases: an experimental study," Experimental Economics, Springer;Economic Science Association, vol. 25(1), pages 254-286, February.
    21. Markus Dertwinkel-Kalt & Jonas Frey, 2020. "Optimal Stopping in a Dynamic Salience Model," CESifo Working Paper Series 8496, CESifo.

    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:eee:poleco:v:78:y:2023:i:c:s0176268023000277. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/505544 .

    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.