IDEAS home Printed from https://ideas.repec.org/p/upf/upfgen/804.html
   My bibliography  Save this paper

Measuring strategic uncertainty in coordination games

Author

Abstract

This paper explores three aspects of strategic uncertainty: its relation to risk, predictability of behavior and subjective beliefs of players. In a laboratory experiment we measure subjects’ certainty equivalents for three coordination games and one lottery. Behavior in coordination games is related to risk aversion, experience seeking, and age. From the distribution of certainty equivalents we estimate probabilities for successful coordination in a wide range of games. For many games, success of coordination is predictable with a reasonable error rate. The best response to observed behavior is close to the global-game solution. Comparing choices in coordination games with revealed risk aversion, we estimate subjective probabilities for successful coordination. In games with a low coordination requirement, most subjects underestimate the probability of success. In games with a high coordination requirement, most subjects overestimate this probability. Estimating probabilistic decision models, we show that the quality of predictions can be improved when individual characteristics are taken into account. Subjects’ behavior is consistent with probabilistic beliefs about the aggregate outcome, but inconsistent with probabilistic beliefs about individual behavior.

Suggested Citation

  • Frank Heinemann & Rosemarie Nagel & Peter Ockenfels, 2004. "Measuring strategic uncertainty in coordination games," Economics Working Papers 804, Department of Economics and Business, Universitat Pompeu Fabra.
  • Handle: RePEc:upf:upfgen:804
    as

    Download full text from publisher

    File URL: https://econ-papers.upf.edu/papers/804.pdf
    File Function: Whole Paper
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. John C. Harsanyi & Reinhard Selten, 1988. "A General Theory of Equilibrium Selection in Games," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262582384, December.
    2. Carlsson, Hans & van Damme, Eric, 1993. "Global Games and Equilibrium Selection," Econometrica, Econometric Society, vol. 61(5), pages 989-1018, September.
    3. Van Huyck, John B & Battalio, Raymond C & Beil, Richard O, 1990. "Tacit Coordination Games, Strategic Uncertainty, and Coordination Failure," American Economic Review, American Economic Association, vol. 80(1), pages 234-248, March.
    4. Schechter, Laura, 2007. "Traditional trust measurement and the risk confound: An experiment in rural Paraguay," Journal of Economic Behavior & Organization, Elsevier, vol. 62(2), pages 272-292, February.
    5. Stephen Morris & Hyun Song Shin, 2000. "Global Games: Theory and Applications," Cowles Foundation Discussion Papers 1275R, Cowles Foundation for Research in Economics, Yale University, revised Aug 2001.
    6. Schmidt, David & Shupp, Robert & Walker, James M. & Ostrom, Elinor, 2003. "Playing safe in coordination games:: the roles of risk dominance, payoff dominance, and history of play," Games and Economic Behavior, Elsevier, vol. 42(2), pages 281-299, February.
    7. R. J. Aumann & J. H. Dreze, 2009. "Assessing Strategic Risk," American Economic Journal: Microeconomics, American Economic Association, vol. 1(1), pages 1-16, February.
    8. Charles F. Manski, 2004. "Measuring Expectations," Econometrica, Econometric Society, vol. 72(5), pages 1329-1376, September.
    9. McKelvey Richard D. & Palfrey Thomas R., 1995. "Quantal Response Equilibria for Normal Form Games," Games and Economic Behavior, Elsevier, vol. 10(1), pages 6-38, July.
    10. Antonio Cabrales & Rosemarie Nagel & Roc Armenter, 2007. "Equilibrium selection through incomplete information in coordination games: an experimental study," Experimental Economics, Springer;Economic Science Association, vol. 10(3), pages 221-234, September.
    11. Bohnet, Iris & Zeckhauser, Richard, 2004. "Trust, risk and betrayal," Journal of Economic Behavior & Organization, Elsevier, vol. 55(4), pages 467-484, December.
    12. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    13. Yaw Nyarko & Andrew Schotter, 2002. "An Experimental Study of Belief Learning Using Elicited Beliefs," Econometrica, Econometric Society, vol. 70(3), pages 971-1005, May.
    14. Goeree, Jacob K. & Holt, Charles A. & Palfrey, Thomas R., 2003. "Risk averse behavior in generalized matching pennies games," Games and Economic Behavior, Elsevier, vol. 45(1), pages 97-113, October.
    15. Andreas Lange & John A. List & Michael K. Price, 2004. "Auctions with Resale When Private Values Are Uncertain: Theory and Empirical Evidence," NBER Working Papers 10639, National Bureau of Economic Research, Inc.
    16. Christian Hellwig, 2002. "Imperfect Common Knowledge of Preferences in Global Coordination Games (October 2002)," UCLA Economics Online Papers 211, UCLA Department of Economics.
    17. Berninghaus, Siegfried K. & Ehrhart, Karl-Martin, 2001. "Coordination and information: recent experimental evidence," Economics Letters, Elsevier, vol. 73(3), pages 345-351, December.
    18. Frank Heinemann & Rosemarie Nagel & Peter Ockenfels, 2004. "The Theory of Global Games on Test: Experimental Analysis of Coordination Games with Public and Private Information," Econometrica, Econometric Society, vol. 72(5), pages 1583-1599, September.
    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. Thomas Neumann & Bodo Vogt, 2009. "Do Players’ Beliefs or Risk Attitudes Determine The Equilibrium Selections in 2x2 Coordination Games?," FEMM Working Papers 09024, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    2. Berninghaus, Siegfried K. & Haller, Sven & Krüger, Tyll & Neumann, Thomas & Schosser, Stephan & Vogt, Bodo, 2013. "Risk attitude, beliefs, and information in a Corruption Game – An experimental analysis," Journal of Economic Psychology, Elsevier, vol. 34(C), pages 46-60.
    3. Giovanna Devetag & Andreas Ortmann, 2007. "When and why? A critical survey on coordination failure in the laboratory," Experimental Economics, Springer;Economic Science Association, vol. 10(3), pages 331-344, September.
    4. Jia Liu & Yohanes E. Riyanto, 2017. "Information transparency and equilibrium selection in coordination games: an experimental study," Theory and Decision, Springer, vol. 82(3), pages 415-433, March.
    5. Bolle, Friedel, 2017. "A behavioral theory of equilibrium selection," Discussion Papers 392, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
    6. Friedel Bolle & Jörg Spiller, 2021. "Cooperation against all predictions," Economic Inquiry, Western Economic Association International, vol. 59(3), pages 904-924, July.
    7. Feltovich, Nick & Iwasaki, Atsushi & Oda, Sobei H., 2010. "Payoff levels, loss avoidance, and equilibrium selection in the Stag Hunt: an experimental study," SIRE Discussion Papers 2010-125, Scottish Institute for Research in Economics (SIRE).
    8. Helland, Leif & Iachan, Felipe S. & Juelsrud, Ragnar E. & Nenov, Plamen T., 2021. "Information quality and regime change: Evidence from the lab," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 538-554.
    9. John Van Huyck & Ajalavat Viriyavipart & Alexander L. Brown, 2018. "When less information is good enough: experiments with global stag hunt games," Experimental Economics, Springer;Economic Science Association, vol. 21(3), pages 527-548, September.
    10. D. Dubois & M. Willinger & P. Van Nguyen, 2012. "Optimization incentive and relative riskiness in experimental stag-hunt games," International Journal of Game Theory, Springer;Game Theory Society, vol. 41(2), pages 369-380, May.
    11. Szkup, Michal & Trevino, Isabel, 2020. "Sentiments, strategic uncertainty, and information structures in coordination games," Games and Economic Behavior, Elsevier, vol. 124(C), pages 534-553.
    12. Olga Shurchkov, 2013. "Coordination and learning in dynamic global games: experimental evidence," Experimental Economics, Springer;Economic Science Association, vol. 16(3), pages 313-334, September.
    13. Christoph Kuzmics & Daniel Rodenburger, 2020. "A case of evolutionarily stable attainable equilibrium in the laboratory," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 70(3), pages 685-721, October.
    14. Kets, Willemien & Kager, Wouter & Sandroni, Alvaro, 2022. "The value of a coordination game," Journal of Economic Theory, Elsevier, vol. 201(C).
    15. Dimitri Dubois & Marc Willinger & Phu Nguyen Van, 2008. "Optimization incentive and relative riskiness in experimental coordination games," Working Papers 08-19, LAMETA, Universtiy of Montpellier, revised Nov 2008.
    16. Maoliang Ye & Jie Zheng & Plamen Nikolov & Sam Asher, 2020. "One Step at a Time: Does Gradualism Build Coordination?," Management Science, INFORMS, vol. 66(1), pages 113-129, January.
    17. Marianne Lefebvre, 2011. "Sharing Rules for Common-Pool Resources when Self-insurance is Available: an Experiment," Working Papers 11-22, LAMETA, Universtiy of Montpellier, revised Jun 2012.
    18. Sanchez Villalba, Miguel, 2017. "Global Inspection Games (GIG) in the laboratory," MPRA Paper 80715, University Library of Munich, Germany.
    19. Anauati, María Victoria & Feld, Brian & Galiani, Sebastian & Torrens, Gustavo, 2016. "Collective action: Experimental evidence," Games and Economic Behavior, Elsevier, vol. 99(C), pages 36-55.
    20. Schmutzler, Armin, 2011. "A unified approach to comparative statics puzzles in experiments," Games and Economic Behavior, Elsevier, vol. 71(1), pages 212-223, January.

    More about this item

    Keywords

    Belief Formation; Coordination Games; Global Game; Lotteries; Risk Aversion; Strategic Uncertainty; Leex;
    All these keywords.

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations

    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:upf:upfgen:804. 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: the person in charge (email available below). General contact details of provider: http://www.econ.upf.edu/ .

    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.