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Incentive compatibility in prediction markets: Costly actions and external incentives

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  • Di, Chen
  • Dimitrov, Stanko
  • He, Qi-Ming

Abstract

We consider a multi-round prediction market in which two agents, Alice and Bob, are trading on an event on which each may take action to influence its outcome. The existing literature assumes that there is no net difference between the costs of different actions the agents may take outside the prediction market when external incentives exist. For example, the cost for Alice to work hard to complete the project is the same as it is for her to “loaf” and not work hard. In this work we consider first a two-round and later a four-round setting in which the agents’ costs of external actions differ between actions. We show that a prediction market is incentive-compatible when external action costs differ as long as they remain within a proper range, regardless of the initial market estimate, something that is not shown in the existing literature.

Suggested Citation

  • Di, Chen & Dimitrov, Stanko & He, Qi-Ming, 2019. "Incentive compatibility in prediction markets: Costly actions and external incentives," International Journal of Forecasting, Elsevier, vol. 35(1), pages 351-370.
    • Handle: RePEc:eee:intfor:v:35:y:2019:i:1:p:351-370
    DOI: 10.1016/j.ijforecast.2018.07.005
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    References listed on IDEAS

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    1. Edgar C. Merkle & Mark Steyvers, 2013. "Choosing a Strictly Proper Scoring Rule," Decision Analysis, INFORMS, vol. 10(4), pages 292-304, December.
    2. Rothschild, David, 2015. "Combining forecasts for elections: Accurate, relevant, and timely," International Journal of Forecasting, Elsevier, vol. 31(3), pages 952-964.
    3. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    4. Marco Ottaviani & Peter Norman Sørensen, 2007. "Outcome Manipulation in Corporate Prediction Markets," Journal of the European Economic Association, MIT Press, vol. 5(2-3), pages 554-563, 04-05.
    5. Peeters, Thomas, 2018. "Testing the Wisdom of Crowds in the field: Transfermarkt valuations and international soccer results," International Journal of Forecasting, Elsevier, vol. 34(1), pages 17-29.
    6. Weber, Bethany J. & Chapman, Gretchen B., 2005. "Playing for peanuts: Why is risk seeking more common for low-stakes gambles?," Organizational Behavior and Human Decision Processes, Elsevier, vol. 97(1), pages 31-46, May.
    7. Majid Karimi & Stanko Dimitrov, 2018. "On the Road to Making Science of “Art”: Risk Bias in Market Scoring Rules," Decision Analysis, INFORMS, vol. 15(2), pages 72-89, June.
    8. repec:reg:rpubli:460 is not listed on IDEAS
    9. Gneiting, Tilmann & Raftery, Adrian E., 2007. "Strictly Proper Scoring Rules, Prediction, and Estimation," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 359-378, March.
    10. Hanea, A.M. & McBride, M.F. & Burgman, M.A. & Wintle, B.C. & Fidler, F. & Flander, L. & Twardy, C.R. & Manning, B. & Mascaro, S., 2017. "I nvestigate D iscuss E stimate A ggregate for structured expert judgement," International Journal of Forecasting, Elsevier, vol. 33(1), pages 267-279.
    11. J. Eric Bickel, 2007. "Some Comparisons among Quadratic, Spherical, and Logarithmic Scoring Rules," Decision Analysis, INFORMS, vol. 4(2), pages 49-65, June.
    12. Graefe, Andreas & Armstrong, J. Scott & Jones, Randall J. & Cuzán, Alfred G., 2014. "Combining forecasts: An application to elections," International Journal of Forecasting, Elsevier, vol. 30(1), pages 43-54.
    13. Fredrik Carlsson & Dinky Daruvala & Olof Johansson-Stenman, 2005. "Are People Inequality-Averse, or Just Risk-Averse?," Economica, London School of Economics and Political Science, vol. 72(3), pages 375-396, August.
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