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Response time and utility

Author

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  • Echenique, Federico
  • Saito, Kota

Abstract

Response time is the time an agent needs to make a decision. One fundamental finding in psychology and neuroscience is that, in a binary choice, there is a monotonic relationship between the response time and the difference between the utilities of the two options. We consider situations in which utilities are not observed, but rather inferred from revealed preferences: meaning they are inferred from subjects’ choices. Given data on subjects’ choices, and the time to make those choices, we give conditions on the data that characterize the property that response time is a monotonic function of utility differences.

Suggested Citation

  • Echenique, Federico & Saito, Kota, 2017. "Response time and utility," Journal of Economic Behavior & Organization, Elsevier, vol. 139(C), pages 49-59.
    • Handle: RePEc:eee:jeborg:v:139:y:2017:i:c:p:49-59
    DOI: 10.1016/j.jebo.2017.04.008
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    References listed on IDEAS

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    1. Ariel Rubinstein, 2007. "Instinctive and Cognitive Reasoning: A Study of Response Times," Economic Journal, Royal Economic Society, vol. 117(523), pages 1243-1259, October.
    2. Piovesan, Marco & Wengström, Erik, 2009. "Fast or fair? A study of response times," Economics Letters, Elsevier, vol. 105(2), pages 193-196, November.
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    5. Ian Krajbich & Bastiaan Oud & Ernst Fehr, 2014. "Benefits of Neuroeconomic Modeling: New Policy Interventions and Predictors of Preference," American Economic Review, American Economic Association, vol. 104(5), pages 501-506, May.
    6. Andrew Schotter & Isabel Trevino, 2021. "Is response time predictive of choice? An experimental study of threshold strategies," Experimental Economics, Springer;Economic Science Association, vol. 24(1), pages 87-117, March.
    7. Wilcox, Nathaniel T, 1993. "Lottery Choice: Incentives, Complexity and Decision Time," Economic Journal, Royal Economic Society, vol. 103(421), pages 1397-1417, November.
    8. Ariel Rubinstein, 2007. "Instinctive and Cognitive Reasoning: Response Times Study," Levine's Bibliography 321307000000001011, UCLA Department of Economics.
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    Citations

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    Cited by:

    1. Drew Fudenberg & Whitney Newey & Philipp Strack & Tomasz Strzalecki, 2020. "Testing the drift-diffusion model," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(52), pages 33141-33148, December.
    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. Grabiszewski, Konrad & Horenstein, Alex, 2020. "Effort is not a monotonic function of skills: Results from a global mobile experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 176(C), pages 634-652.
    4. repec:cup:judgdm:v:14:y:2019:i:4:p:381-394 is not listed on IDEAS
    5. Arkady Konovalov & Ian Krajbich, 2019. "Revealed strength of preference: Inference from response times," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 14(4), pages 381-394, July.
    6. Aoyama, Tomohito, 2020. "Response time and revealed information structure," Discussion paper series HIAS-E-101, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    7. 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.
    8. Nobuo Koida, 2021. "Intransitive indifference with direction-dependent sensitivity," KIER Working Papers 1061, Kyoto University, Institute of Economic Research.
    9. Sean, Duffy & John, Smith, 2023. "Stochastic choice and imperfect judgments of line lengths: What is hiding in the noise?," MPRA Paper 116382, University Library of Munich, Germany.
    10. Huseynov, Samir & Krajbich, Ian & Palma, Marco A., 2018. "No Time to Think: Food Decision-Making under Time Pressure," 2018 Annual Meeting, August 5-7, Washington, D.C. 274135, Agricultural and Applied Economics Association.
    11. Georgios Gerasimou, 2017. "Preference intensity representation and revelation," Discussion Paper Series, School of Economics and Finance 201716, School of Economics and Finance, University of St Andrews, revised 01 Jun 2019.
    12. Carlo Baldassi & Simone Cerreia-Vioglio & Fabio Maccheroni & Massimo Marinacci & Marco Pirazzini, 2020. "A Behavioral Characterization of the Drift Diffusion Model and Its Multialternative Extension for Choice Under Time Pressure," Management Science, INFORMS, vol. 66(11), pages 5075-5093, November.
    13. Duffy, Sean & Smith, John, 2020. "An economist and a psychologist form a line: What can imperfect perception of length tell us about stochastic choice?," MPRA Paper 99417, University Library of Munich, Germany.
    14. Georgios Gerasimou, 2019. "Simple Preference Intensity Comparisons," Discussion Paper Series, School of Economics and Finance 201905, School of Economics and Finance, University of St Andrews, revised 27 Apr 2020.
    15. David J. Cooper & Ian Krajbich & Charles N. Noussair, 2019. "Choice-Process Data in Experimental Economics," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 5(1), pages 1-13, August.
    16. Cary Frydman & Ian Krajbich, 2022. "Using Response Times to Infer Others’ Private Information: An Application to Information Cascades," Management Science, INFORMS, vol. 68(4), pages 2970-2986, April.
    17. Jetlir Duraj & Yi-Hsuan Lin, 2022. "Identification and welfare evaluation in sequential sampling models," Theory and Decision, Springer, vol. 92(2), pages 407-431, March.
    18. Stephanie M. Smith & Ian Krajbich & Ryan Webb, 2019. "Estimating the dynamic role of attention via random utility," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 5(1), pages 97-111, August.

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