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Software for continuous game experiments

Author

Listed:
  • Pettit, James
  • Friedman, Daniel
  • Kephart, Curtis
  • Oprea, Ryan

Abstract

ConG is software for conducting economic experiments in continuous and discrete time. It allows experimenters with limited programming experience to create a variety of strategic environments featuring rich visual feedback in continuous time and over continuous action spaces, as well as in discrete time or over discrete action spaces. Simple, easily edited input files give the experimenter considerable flexibility in specifying the strategic environment and visual feedback. Source code is modular and allows researchers with programming skills to create novel strategic environments and displays.

Suggested Citation

  • Pettit, James & Friedman, Daniel & Kephart, Curtis & Oprea, Ryan, 2014. "Software for continuous game experiments," Santa Cruz Department of Economics, Working Paper Series qt92h1b2br, Department of Economics, UC Santa Cruz.
    • Handle: RePEc:cdl:ucscec:qt92h1b2br
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    References listed on IDEAS

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    1. Timothy N. Cason & Daniel Friedman & ED Hopkins, 2014. "Cycles and Instability in a Rock--Paper--Scissors Population Game: A Continuous Time Experiment," Review of Economic Studies, Oxford University Press, vol. 81(1), pages 112-136.
    2. Oprea, Ryan & Henwood, Keith & Friedman, Daniel, 2011. "Separating the Hawks from the Doves: Evidence from continuous time laboratory games," Journal of Economic Theory, Elsevier, vol. 146(6), pages 2206-2225.
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    Citations

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    Cited by:

    1. 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.
    2. Gunnar Brandt & Micaela M Kulesz & Dennis Nissen & Agostino Merico, 2017. "OGUMI—A new mobile application to conduct common-pool resource experiments in continuous time," PLOS ONE, Public Library of Science, vol. 12(6), pages 1-14, June.
    3. 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.
    4. Benndorf, Volker & Martínez-Martínez, Ismael, 2017. "Perturbed best response dynamics in a hawk–dove game," Economics Letters, Elsevier, vol. 153(C), pages 61-64.
    5. Benndorf, Volker & Martínez-Martínez, Ismael & Normann, Hans-Theo, 2021. "Games with coupled populations: An experiment in continuous time," Journal of Economic Theory, Elsevier, vol. 195(C).
    6. Choi, Jae Hoon & Munro, David, 2022. "Market liquidity and excess volatility: Theory and experiment," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    7. Zhao, Shuchen, 2021. "Taking turns in continuous time," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 257-279.
    8. repec:sus:susewp:0623 is not listed on IDEAS
    9. Backhaus, Teresa & Huck, Steffen & Leutgeb, Johannes & Oprea, Ryan, 2023. "Learning through period and physical time," Games and Economic Behavior, Elsevier, vol. 141(C), pages 21-29.
    10. Choi, S & Goyal, S. & Moisan, F., 2019. "Connectors and Influencers," Cambridge Working Papers in Economics 1935, Faculty of Economics, University of Cambridge.
    11. Yoshio Iida, 2021. "Communication, choice continuity, and player number in a continuous-time public goods experiment," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(4), pages 955-988, October.
    12. Matthew Embrey & Christian Seel & J. Philipp Reiss, 2020. "Gambling in Risk-Taking Contests: Experimental Evidence," Working Paper Series 1620, Department of Economics, University of Sussex Business School.
    13. Chen, Daniel L. & Schonger, Martin & Wickens, Chris, 2016. "oTree—An open-source platform for laboratory, online, and field experiments," Journal of Behavioral and Experimental Finance, Elsevier, vol. 9(C), pages 88-97.
    14. Aldrich, Eric M. & Demirci, Hasan Ali & López Vargas, Kristian, 2020. "An oTree-based flexible architecture for financial market experiments," Journal of Behavioral and Experimental Finance, Elsevier, vol. 25(C).
    15. Huck, Steffen & Leutgeb, Johannes & Oprea, Ryan, 2017. "Payoff information hampers the evolution of cooperation," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 8, pages 1-1.
    16. Choi, S. & Goyal, S. & Moisan, F., 2020. "Brokerage Rents and Intermediation Networks," Cambridge Working Papers in Economics 2005, Faculty of Economics, University of Cambridge.
    17. Duch, Matthias L. & Grossmann, Max R.P. & Lauer, Thomas, 2020. "z-Tree unleashed: A novel client-integrating architecture for conducting z-Tree experiments over the Internet," Journal of Behavioral and Experimental Finance, Elsevier, vol. 28(C).
    18. Benndorf, Volker & Martínez-Martínez, Ismael & Normann, Hans-Theo, 2016. "Equilibrium selection with coupled populations in hawk–dove games: Theory and experiment in continuous time," Journal of Economic Theory, Elsevier, vol. 165(C), pages 472-486.
    19. Marcus Giamattei & Kyanoush Seyed Yahosseini & Simon Gächter & Lucas Molleman, 2020. "LIONESS Lab: a free web-based platform for conducting interactive experiments online," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 6(1), pages 95-111, June.
    20. Choi, S. & Goyal, G. & Moisan, F., 2020. "Large Scale Experiments on Networks: A New Platform with Applications," Cambridge Working Papers in Economics 2063, Faculty of Economics, University of Cambridge.

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    More about this item

    Keywords

    Eye Disease and Disorders of Vision; Experimental economics; Continuous time; Software for laboratory experiments; Economic Theory; Applied Economics; Marketing; Economics;
    All these keywords.

    JEL classification:

    • C70 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - General
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General

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