IDEAS home Printed from https://ideas.repec.org/p/jau/wpaper/2015-03.html
   My bibliography  Save this paper

An experimental online matching pennies game

Author

Listed:
  • Aurora García-Gallego

    (LEE & Department of Economics, Universitat Jaume I, Castellón, Spain)

  • Penelope Hernández-Rojas

    (ERI-CES & Department of Economics Analysis, University of Valencia, Spain)

  • Amalia Rodrigo-González

    (Department of Corporate Finance, University of Valencia, Spain)

Abstract

The theoretical communication model by Gossner et al. (2006) (GHN henceforth) based on the matching pennies game has recently been implemented by García-Gallego et al. (2013) (GHR henceforth) in the lab, emphasizing the transmission of information among players with aligned incentives. The present work contributes to characterize the optimal structure of the equilibrium strategies or the set up under consideration. Also, we establish the length of the sequence of the experimental game for which the players' optimal strategy is the majority rule, considering a minimal length of 3. Finally, we aim at testing the model by GHN (2006). Experimental findings give! support to the theoretical results in GHN (2006).

Suggested Citation

  • Aurora García-Gallego & Penelope Hernández-Rojas & Amalia Rodrigo-González, 2015. "An experimental online matching pennies game," Working Papers 2015/03, Economics Department, Universitat Jaume I, Castellón (Spain).
  • Handle: RePEc:jau:wpaper:2015/03
    as

    Download full text from publisher

    File URL: http://www.doctreballeco.uji.es/wpficheros/Garcia_et_al_03_2015.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mookherjee Dilip & Sopher Barry, 1994. "Learning Behavior in an Experimental Matching Pennies Game," Games and Economic Behavior, Elsevier, vol. 7(1), pages 62-91, July.
    2. Uri Gneezy, 2005. "Deception: The Role of Consequences," American Economic Review, American Economic Association, vol. 95(1), pages 384-394, March.
    3. Olivier Gossner & Penélope Hernández & Abraham Neyman, 2006. "Optimal Use of Communication Resources," Econometrica, Econometric Society, vol. 74(6), pages 1603-1636, November.
    4. P.-A. Chiappori, 2002. "Testing Mixed-Strategy Equilibria When Players Are Heterogeneous: The Case of Penalty Kicks in Soccer," American Economic Review, American Economic Association, vol. 92(4), pages 1138-1151, September.
    5. Forges, Francoise M, 1986. "An Approach to Communication Equilibria," Econometrica, Econometric Society, vol. 54(6), pages 1375-1385, November.
    6. Jason Shachat & J. Todd Swarthout, 2004. "Do we detect and exploit mixed strategy play by opponents?," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 59(3), pages 359-373, July.
    7. Olivier Gossner & Penelope Hernandez & Abraham Neyman, 2003. "Online Matching Pennies," Discussion Paper Series dp316, The Federmann Center for the Study of Rationality, the Hebrew University, Jerusalem.
    8. Shane Frederick, 2005. "Cognitive Reflection and Decision Making," Journal of Economic Perspectives, American Economic Association, vol. 19(4), pages 25-42, Fall.
    9. Fox, Craig R. & Weber, Martin, 2002. "Ambiguity Aversion, Comparative Ignorance, and Decision Context," Organizational Behavior and Human Decision Processes, Elsevier, vol. 88(1), pages 476-498, May.
    10. Arijit Mukherji & Kevin A. McCabe & David E. Runkle, 2000. "An experimental study of information and mixed-strategy play in the three-person matching-pennies game," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 15(2), pages 421-462.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Aurora García-Gallego & Penélope Hernández-Rojas & Amalia Rodrigo-González, 2013. "Endogenous vs. Exogenous Transmission of Information: An Experiment," Working Papers 2013/06, Economics Department, Universitat Jaume I, Castellón (Spain).
    2. Emara, Noha & Owens, David & Smith, John & Wilmer, Lisa, 2017. "Serial correlation in National Football League play calling and its effects on outcomes," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 69(C), pages 125-132.
    3. Weinstein-Gould Jesse, 2009. "Keeping the Hitter Off Balance: Mixed Strategies in Baseball," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 5(2), pages 1-20, May.
    4. Kyoo il Kim, 2006. "Semiparametric Estimation of Signaling Games," Labor Economics Working Papers 22452, East Asian Bureau of Economic Research.
    5. Ofer Azar & Michael Bar-Eli, 2011. "Do soccer players play the mixed-strategy Nash equilibrium?," Applied Economics, Taylor & Francis Journals, vol. 43(25), pages 3591-3601.
    6. Duffy, Sean & Naddeo, JJ & Owens, David & Smith, John, 2016. "Cognitive load and mixed strategies: On brains and minimax," MPRA Paper 71878, University Library of Munich, Germany.
    7. Jason Shachat & J. Todd Swarthout & Lijia Wei, 2011. "Man versus Nash An experiment on the self-enforcing nature of mixed strategy equilibrium," Working Papers 1101, Xiamen Unversity, The Wang Yanan Institute for Studies in Economics, Finance and Economics Experimental Laboratory, revised 21 Feb 2011.
    8. Ganna Pogrebna & Pavlo Blavatskyy, 2009. "Coordination, focal points and voting in strategic situations: a natural experiment," Public Choice, Springer, vol. 140(1), pages 125-143, July.
    9. Ganna Pogrebna & Pavlo Blavatskyy, 2009. "Coordination, focal points and voting in strategic situations: a natural experiment," IEW - Working Papers 403, Institute for Empirical Research in Economics - University of Zurich.
    10. Emara, Noha & Owens, David & Smith, John & Wilmer, Lisa, 2014. "Minimax on the gridiron: Serial correlation and its effects on outcomes in the National Football League," MPRA Paper 58907, University Library of Munich, Germany.
    11. Isabelle Brocas & Juan D. Carrillo, 2022. "The development of randomization and deceptive behavior in mixed strategy games," Quantitative Economics, Econometric Society, vol. 13(2), pages 825-862, May.
    12. Antonio Cabrales & Michalis Drouvelis & Zeynep Gurguy & Indrajit Ray, 2017. "Transparency is Overrated: Communicating in a Coordination Game with Private Information," CESifo Working Paper Series 6781, CESifo.
    13. Mechtenberg, Lydia & Muehlheusser, Gerd & Roider, Andreas, 2020. "Whistleblower protection: Theory and experimental evidence," European Economic Review, Elsevier, vol. 126(C).
    14. Alcocer, Christian Diego & Jeitschko, Thomas D. & Shupp, Robert, 2020. "Naive and sophisticated mixing: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 170(C), pages 157-173.
    15. Van Essen, Matt & Wooders, John, 2015. "Blind stealing: Experience and expertise in a mixed-strategy poker experiment," Games and Economic Behavior, Elsevier, vol. 91(C), pages 186-206.
    16. Özalp Özer & Upender Subramanian & Yu Wang, 2018. "Information Sharing, Advice Provision, or Delegation: What Leads to Higher Trust and Trustworthiness?," Management Science, INFORMS, vol. 64(1), pages 474-493, January.
    17. Fosgaard, Toke Reinholt & Hansen, Lars Gaarn & Piovesan, Marco, 2013. "Separating Will from Grace: An experiment on conformity and awareness in cheating," Journal of Economic Behavior & Organization, Elsevier, vol. 93(C), pages 279-284.
    18. Lohse, Tim & Simon, Sven A. & Konrad, Kai A., 2018. "Deception under time pressure: Conscious decision or a problem of awareness?," Journal of Economic Behavior & Organization, Elsevier, vol. 146(C), pages 31-42.
    19. Cappelen, Alexander W. & Sørensen, Erik Ø. & Tungodden, Bertil, 2013. "When do we lie?," Journal of Economic Behavior & Organization, Elsevier, vol. 93(C), pages 258-265.
    20. Spiliopoulos, Leonidas, 2012. "Pattern recognition and subjective belief learning in a repeated constant-sum game," Games and Economic Behavior, Elsevier, vol. 75(2), pages 921-935.

    More about this item

    Keywords

    experiments; coordination; cheap-talk; efficiency;
    All these keywords.

    JEL classification:

    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jau:wpaper:2015/03. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: María Aurora Garcia Gallego (email available below). General contact details of provider: https://edirc.repec.org/data/ueujies.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.