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Time Horizon and Cooperation in Continuous Time

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  • M. Bigoni
  • M. Casari
  • A. Skrzypacz
  • G. Spagnolo

Abstract

When subjects interact in continuous time, their ability to cooperate may dramatically increase. In an experiment, we study the impact of different time horizons on cooperation in (quasi) continuous time prisoner's dilemmas. We find that cooperation levels are similar or higher when the horizon is deterministic rather than stochastic. Moreover, a deterministic duration generates different aggregate patterns and individual strategies than a stochastic one. For instance, under a deterministic horizon subjects show high initial cooperation and a strong end-of-period reversal to defection. Moreover, they do not learn to apply backward induction but to postpone defection closer to the end.

Suggested Citation

  • M. Bigoni & M. Casari & A. Skrzypacz & G. Spagnolo, 2011. "Time Horizon and Cooperation in Continuous Time," Working Papers wp796, Dipartimento Scienze Economiche, Universita' di Bologna.
  • Handle: RePEc:bol:bodewp:wp796
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Crosetto, P. & Filippin, A., 2015. "The sound of others: suprising evidence of conformist behavior," Working Papers 2015-07, Grenoble Applied Economics Laboratory (GAEL).
    2. Tremewan, James & Vanberg, Christoph, 2016. "The dynamics of coalition formation – A multilateral bargaining experiment with free timing of moves," Journal of Economic Behavior & Organization, Elsevier, vol. 130(C), pages 33-46.
    3. Tasneem, Dina & Engle-Warnick, Jim & Benchekroun, Hassan, 2017. "An experimental study of a common property renewable resource game in continuous time," Journal of Economic Behavior & Organization, Elsevier, vol. 140(C), pages 91-119.
    4. Jörg Oechssler & Alex Roomets & Stefan Roth, 2016. "From imitation to collusion: a replication," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 2(1), pages 13-21, May.
    5. Friedman, Daniel & Huck, Steffen & Oprea, Ryan & Weidenholzer, Simon, 2015. "From imitation to collusion: Long-run learning in a low-information environment," Journal of Economic Theory, Elsevier, vol. 155(C), pages 185-205.
    6. Oprea, Ryan & Charness, Gary & Friedman, Daniel, 2014. "Continuous time and communication in a public-goods experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 108(C), pages 212-223.
    7. Luhan, Wolfgang J. & Poulsen, Anders U. & Roos, Michael W.M., 2017. "Real-time tacit bargaining, payoff focality, and coordination complexity: Experimental evidence," Games and Economic Behavior, Elsevier, vol. 102(C), pages 687-699.
    8. repec:gam:jgames:v:9:y:2018:i:1:p:5-:d:129502 is not listed on IDEAS
    9. Marvao, Catarina & Spagnolo, Giancarlo, 2016. "Cartels and Leniency: Taking stock of what we learnt," SITE Working Paper Series 39, Stockholm School of Economics, Stockholm Institute of Transition Economics, revised 16 Nov 2016.
    10. Lugovskyy, Volodymyr & Puzzello, Daniela & Sorensen, Andrea & Walker, James & Williams, Arlington, 2017. "An experimental study of finitely and infinitely repeated linear public goods games," Games and Economic Behavior, Elsevier, vol. 102(C), pages 286-302.
    11. repec:wly:emetrp:v:85:y:2017:i::p:915-935 is not listed on IDEAS
    12. Buccirossi, Paolo & Marvão, Catarina & Spagnolo, Giancarlo, 2015. "Leniency and Damages," CEPR Discussion Papers 10682, C.E.P.R. Discussion Papers.
    13. repec:eee:eecrev:v:104:y:2018:i:c:p:185-219 is not listed on IDEAS
    14. Oechssler, Jörg & Roomets, Alex & Roth, Stefan, 2015. "From Imitation to Collusion - A Comment," Working Papers 0588, University of Heidelberg, Department of Economics.

    More about this item

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D74 - Microeconomics - - Analysis of Collective Decision-Making - - - Conflict; Conflict Resolution; Alliances; Revolutions

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