Hostname: page-component-669899f699-7tmb6 Total loading time: 0 Render date: 2025-05-02T01:08:26.664Z Has data issue: false hasContentIssue false

Knowing me, knowing you: an experiment on mutual payoff information in the stag hunt and Prisoner's Dilemma

Published online by Cambridge University Press:  01 January 2025

Hazem Alshaikhmubarak*
Affiliation:
King Faisal University, Al Hofuf, Saudi Arabia
David Hales
Affiliation:
Global Innovations Bank, Kiester, MN, USA
Maria Kogelnik
Affiliation:
Yale University, New Haven, CT, USA
Molly Schwarz
Affiliation:
Federal Communications Commission, Washington, DC, USA
C. Kent Strauss
Affiliation:
University of California Santa Barbara, Santa Barbara, CA, USA

Abstract

We experimentally study how mutual payoff information affects strategic play. Subjects play the Prisoner's Dilemma or Stag Hunt game against randomly re-matched opponents under two information treatments. In our partial-information treatment, subjects are shown only their own payoff structure, while in our full-information treatment they are shown both their own and their opponent's payoff structure. In both treatments, they receive feedback on their opponent's action after each round. We find that mutual payoff information initially facilitates reaching the socially optimal outcome in both games. Play in the Prisoner's Dilemma converges toward the unique Nash equilibrium of the game under both information treatments, while in the Stag Hunt mutual payoff information has a substantial impact on play and equilibrium selection in all rounds of the game. Belief-learning model estimations and simulations suggest these effects are driven by both initial play and the way subjects learn.

Type
Original Paper
Copyright
Copyright © The Author(s), under exclusive licence to Economic Science Association 2024.

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

Footnotes

Molly Schwarz: The opinions expressed in this article are those of the author and do not necessarily represent the views of the Federal Communications Commission or the United States Government.

A previous version of this paper was circulated as “Knowing Me, Knowing You: An Experiment on Mutual Payoff Information and Strategic Uncertainty.” We thank Ryan Oprea, Emanuel Vespa, and Sevgi Yuksel for their guidance and encouragement. We are grateful to participants of the UCSB Experimental Economics Seminar, Terri Kneeland, and Yi Zheng for helpful comments and suggestions. Emanuel Vespa inspired and instigated this work by noting that partial-information games are understudied. Funding from the UCSB Department of Economics is gratefully acknowledged. This study obtained IRB approval at UCSB. The replication material for the study is available at http://doi.org/10.17605/OSF.IO/Y2JS7.

References

Agresti, A, Coull, BA. (1998). Approximate is better than “exact" for interval estimation of binomial proportions. The American Statistician, 52, 2, 119126.Google Scholar
Alshaikhmubarak, H., Hales, D., Kogelnik, M., Schwarz, M., & Strauss, K. (2021). Knowing me, knowing you: An experiment on mutual payoff information and strategic uncertainty. Available at SSRN 3915018.CrossRefGoogle Scholar
Babichenko, Y. (2010). Uncoupled automata and pure Nash equilibria. International Journal of Game Theory, 39, 3, 483502. 10.1007/s00182-010-0227-9.CrossRefGoogle Scholar
Battalio, R, Samuelson, L, Van Huyck, J. (2001). Optimization incentives and coordination failure in laboratory Stag Hunt games. Econometrica, 69, 3, 749764. 10.1111/1468-0262.00212.CrossRefGoogle Scholar
Brown, LD, Cai, T, DasGupta, A. (2001). Interval estimation for a binomial proportion. Institute of Mathematical Statistics, 16, 2, 101117.Google Scholar
Camerer, C, Ho, T-H. (1999). Experience-weighted attraction learning in normal form games. Econometrica, 67, 4, 827874. 10.1111/1468-0262.00054.CrossRefGoogle Scholar
Embrey, M, Fréchette, GR, Yuksel, S. (2017). Cooperation in the finitely repeated Prisoner's Dilemma. The Quarterly Journal of Economics, 133, 1, 509551. 10.1093/qje/qjx033.CrossRefGoogle Scholar
Feltovich, N, Oda, SH. (2014). Effect of matching mechanism on learning in games played under limited information. Pacific Economic Review, 3, 260277. 10.1111/1468-0106.12065.CrossRefGoogle Scholar
Fischbacher, U. (2007). z-Tree: Zurich toolbox for ready-made economic experiments. Experimental Economics, 10, 171178. 10.1007/s10683-006-9159-4.CrossRefGoogle Scholar
Foster, D, Young, H. (2006). Regret testing leads to Nash Equilibrium. Theoretical Economics, 1, 341367.Google Scholar
Fudenberg, D, Levine, DK. (2009). Self-confirming equilibrium and the Lucas critique. Journal of Economic Theory, 144, 6, 23542371. 10.1016/j.jet.2008.07.007.CrossRefGoogle Scholar
Ghidoni, R, Cleave, BL, Suetens, S. (2019). Perfect and imperfect strangers in social dilemmas. European Economic Review, 116, 148159. 10.1016/j.euroecorev.2019.04.002.CrossRefGoogle Scholar
Greiner, B. (2015). Subject pool recruitment procedures: Organizing experiments with ORSEE. Journal of the Economic Science Association, 1, 114125. 10.1007/s40881-015-0004-4.CrossRefGoogle Scholar
Harsanyi, J, Selten, R. (1988). A General Theory of Equilibrium Selection in Games, MIT Press.Google Scholar
Hart, S, Mas-Colell, A. (2006). Stochastic uncoupled dynamics and Nash Equilibrium. Games and Economic Behavior, 57, 2, 286303. 10.1016/j.geb.2005.09.007.CrossRefGoogle Scholar
Kneeland, T. (2015). Identifying higher-order rationality. Econometrica, 83, 5, 20652079. 10.3982/ECTA11983.CrossRefGoogle Scholar
Knoepfle, DT, Wang, JT-Y, Camerer, CF. (2009). Studying learning in games using eye-tracking. Journal of the European Economic Association, 7, 2–3, 388398. 10.1162/JEEA.2009.7.2-3.388.CrossRefGoogle Scholar
Nagel, R. (1995). Unraveling in guessing games: An experimental study. American Economic Review, 85, 5, 13131326.Google Scholar
Nash, J. (1950). Non-cooperative games. Ph.D. Dissertation, Princeton University.Google Scholar
Polonio, L, Coricelli, G. (2019). Testing the level of consistency between choices and beliefs in games using eye-tracking. Games and Economic Behavior, 113, 566586. 10.1016/j.geb.2018.11.003.CrossRefGoogle Scholar
Stahl, D, Wilson, P. (1994). Experimental evidence on players? Models of other players. Journal of Economic Behavior & Organization, 25, 3, 309327. 10.1016/0167-2681(94)90103-1.CrossRefGoogle Scholar
Wilcox, NT. (2006). Theories of learning in games and heterogeneity bias. Econometrica, 74, 5, 12711292. 10.1111/j.1468-0262.2006.00704.x.CrossRefGoogle Scholar
Young, HP. (2009). Learning by trial and error. Games and Economic Behavior, 65, 2, 626643. 10.1016/j.geb.2008.02.011.CrossRefGoogle Scholar
Supplementary material: File

Alshaikhmubarak et al. supplementary material

Alshaikhmubarak et al. supplementary material
Download Alshaikhmubarak et al. supplementary material(File)
File 2.9 MB