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Is response time predictive of choice? An experimental study of threshold strategies

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  • Schotter, Andrew
  • Trevino, Isabel

Abstract

This paper investigates the usefulness of non-choice data, namely response times, as a predictor of threshold behavior in a simple global game experiment. Our results indicate that the signal associated to the highest or second highest response time at the beginning of the experiment are both unbiased estimates of the threshold employed by subjects at the end of the experiment. This predictive ability is lost when we move to the third or higher response times. Moreover, the response time predictions are better predictors of observed behavior than the equilibrium predictions of the game. They are also robust, in the sense that they characterize behavior in an out-of-treatment exercise where we use the strategy method to elicit thresholds. This paper is the first to point out the predictive power of response times in a strategic situation.

Suggested Citation

  • Schotter, Andrew & Trevino, Isabel, 2014. "Is response time predictive of choice? An experimental study of threshold strategies," Discussion Papers, Research Unit: Economics of Change SP II 2014-305, WZB Berlin Social Science Center.
    • Handle: RePEc:zbw:wzbeoc:spii2014305
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    Citations

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    Cited by:

    1. Strittmatter, Anthony & Sunde, Uwe & Zegners, Dainis, 2022. "Speed, Quality, and the Optimal Timing of Complex Decisions: Field Evidence," Rationality and Competition Discussion Paper Series 317, CRC TRR 190 Rationality and Competition.
    2. Clithero, John A., 2018. "Response times in economics: Looking through the lens of sequential sampling models," Journal of Economic Psychology, Elsevier, vol. 69(C), pages 61-86.
    3. Recalde, María P. & Riedl, Arno & Vesterlund, Lise, 2018. "Error-prone inference from response time: The case of intuitive generosity in public-good games," Journal of Public Economics, Elsevier, vol. 160(C), pages 132-147.
    4. Carlos Alós-Ferrer & Ernst Fehr & Nick Netzer, 2021. "Time Will Tell: Recovering Preferences When Choices Are Noisy," Journal of Political Economy, University of Chicago Press, vol. 129(6), pages 1828-1877.
    5. Avoyan, Ala & Schotter, Andrew, 2020. "Attention in games: An experimental study," European Economic Review, Elsevier, vol. 124(C).
    6. John Van Huyck & Ajalavat Viriyavipart & Alexander L. Brown, 2018. "When less information is good enough: experiments with global stag hunt games," Experimental Economics, Springer;Economic Science Association, vol. 21(3), pages 527-548, September.
    7. Andrew Caplin & Daniel Martin, 2016. "The Dual-Process Drift Diffusion Model: Evidence From Response Times," Economic Inquiry, Western Economic Association International, vol. 54(2), pages 1274-1282, April.
    8. Arkady Konovalov & Ian Krajbich, 2016. "Revealed Indifference: Using Response Times to Infer Preferences," Working Papers 16-01, Ohio State University, Department of Economics.
    9. Echenique, Federico & Saito, Kota, 2017. "Response time and utility," Journal of Economic Behavior & Organization, Elsevier, vol. 139(C), pages 49-59.
    10. Goeschl, Timo & Lohse, Johannes, 2018. "Cooperation in public good games. Calculated or confused?," European Economic Review, Elsevier, vol. 107(C), pages 185-203.
    11. Ariel Rubenstein, 2013. "Response time and decision making: An experimental study," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 8(5), pages 540-551, September.
    12. Krajbich Ian & Smith Stephanie M., 2015. "Modeling Eye Movements and Response Times in Consumer Choice," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 13(1), pages 55-72, January.
    13. Rubinstein, Ariel, 2012. "Response Time and Decision Making: A “Free” Experimental Study," Foerder Institute for Economic Research Working Papers 275782, Tel-Aviv University > Foerder Institute for Economic Research.
    14. repec:cup:judgdm:v:8:y:2013:i:5:p:540-551 is not listed on IDEAS

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    More about this item

    Keywords

    response time; threshold strategies; global games;
    All these keywords.

    JEL classification:

    • C71 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Cooperative Games
    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • D89 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Other

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