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Patience and time consistency in collective decisions

Author

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  • Laurent Denant-Boemont

    (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique)

  • Enrico Diecidue

    (INSEAD - Institut Européen d'administration des Affaires)

  • Olivier L’haridon

    (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique)

Abstract
We present experimental evidence regarding individual and group decisions over time. Static and longitudinal methods are combined to test four conditions on time preferences: impatience, stationarity, age independence, and dynamic consistency. Decision making in groups should favor coordination via communication about voting intentions. We find that individuals are neither patient nor consistent, that groups are both patient and highly consistent, and that information exchange between participants helps groups converge to stable decisions. Finally we provide additional evidence showing that our results are driven by the specific role of groups and not by either repeated choices or individual preferences when choosing for other subjects.

Suggested Citation

  • Laurent Denant-Boemont & Enrico Diecidue & Olivier L’haridon, 2017. "Patience and time consistency in collective decisions," Post-Print halshs-01306949, HAL.
  • Handle: RePEc:hal:journl:halshs-01306949
    DOI: 10.1007/s10683-016-9481-4
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01306949
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    6. Mikhail Pakhnin, 2021. "Collective Choice with Heterogeneous Time Preferences," CESifo Working Paper Series 9141, CESifo.
    7. Carbone, Enrica & Infante, Gerardo, 2015. "Are groups better planners than individuals? An experimental analysis," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 57(C), pages 112-119.
    8. Cheung, Stephen L. & Tymula, Agnieszka & Wang, Xueting, 2021. "Quasi-Hyperbolic Present Bias: A Meta-Analysis," IZA Discussion Papers 14625, Institute of Labor Economics (IZA).
    9. Xiangyu Cui & Yun Shi & Lu Xu, 2017. "Alleviating time inconsistent behaviors via a competition scheme," Naval Research Logistics (NRL), John Wiley & Sons, vol. 64(5), pages 357-372, August.
    10. Arthur E. Attema & Han Bleichrodt & Olivier l’Haridon & Stefan A. Lipman, 2020. "A comparison of individual and collective decision making for standard gamble and time trade-off," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(3), pages 465-473, April.
    11. Rong, Rong & Gnagey, Matthew & Grijalva, Therese, 2018. "“The less you Discount, the more it shows you really care”: Interpersonal discounting in households," Journal of Economic Behavior & Organization, Elsevier, vol. 154(C), pages 1-23.
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    More about this item

    Keywords

    present-bias; Dynamic Consistency; Group Decisions; Time Preferences;
    All these keywords.

    JEL classification:

    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles

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