Mixed strategies in an unprofitable game: an experiment
AbstractWe report experimental data from a two-player, two-action unprofitable game with an unique mixed strategy equilibrium. Our design allows subjects to explicitly choose probability distributions over actions. Patterns of play differ greatly from the mixed strategy equilibrium and the maxmin strategy profiles, both when measured as subjects’ choices of probability distributions, and as the resulting actions played. The Quantal Response Equilibrium (QRE) concept is a good predictor of the subjects' average choices.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by LAMETA, Universtiy of Montpellier in its series Working Papers with number 11-19.
Length: 28 pages
Date of creation: Nov 2011
Date of revision: Nov 2011
Contact details of provider:
Postal: Avenue Raymond Dugrand, CS 79606, 34960 Montpellier Cedex 2
Web page: http://www.lameta.univ-montp1.fr/
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Ignacio Palacios-Huerta, 2001.
"Professionals Play Minimax,"
2001-17, Brown University, Department of Economics.
- Ignacio Palacios-Huerta & Oscar Volij, 2006.
"Experientia Docet: Professionals Play Minimax in Laboratory Experiments,"
NajEcon Working Paper Reviews
- Ignacio Palacios-Huerta & Oscar Volij, 2008. "Experientia Docet: Professionals Play Minimax in Laboratory Experiments," Econometrica, Econometric Society, vol. 76(1), pages 71-115, 01.
- Ignacio Palacios-Huerta & Oscar Volij, . "Experientia Docet: Professionals Play Minimax In Laboratory Experiments," Economic theory and game theory 019, Oscar Volij.
- McKelvey, Richard D. & Palfrey, Thomas R. & Weber, Roberto A., 2000. "The effects of payoff magnitude and heterogeneity on behavior in 2 x 2 games with unique mixed strategy equilibria," Journal of Economic Behavior & Organization, Elsevier, vol. 42(4), pages 523-548, August.
- Rapoport, Amnon & Boebel, Richard B., 1992. "Mixed strategies in strictly competitive games: A further test of the minimax hypothesis," Games and Economic Behavior, Elsevier, vol. 4(2), pages 261-283, April.
- Barry Sopher & Dilip Mookherjee, 2000.
"Learning and Decision Costs in Experimental Constant Sum Games,"
Departmental Working Papers
199625, Rutgers University, Department of Economics.
- Mookherjee, Dilip & Sopher, Barry, 1997. "Learning and Decision Costs in Experimental Constant Sum Games," Games and Economic Behavior, Elsevier, vol. 19(1), pages 97-132, April.
- Barry Sopher & Dilip Mookherjee, 1997. "Learning and Decision Costs in Experimental Constant Sum Games," Departmental Working Papers 199527, Rutgers University, Department of Economics.
- 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.
- Shachat, Jason M., 2002. "Mixed Strategy Play and the Minimax Hypothesis," Journal of Economic Theory, Elsevier, vol. 104(1), pages 189-226, May.
- Ochs Jack, 1995. "Games with Unique, Mixed Strategy Equilibria: An Experimental Study," Games and Economic Behavior, Elsevier, vol. 10(1), pages 202-217, July.
- Morgan, John & Sefton, Martin, 2002. "An Experimental Investigation of Unprofitable Games," Games and Economic Behavior, Elsevier, vol. 40(1), pages 123-146, July.
- Mark Walker & John Wooders, 2001. "Minimax Play at Wimbledon," American Economic Review, American Economic Association, vol. 91(5), pages 1521-1538, December.
- Shachat, Jason & Swarthout, J. Todd & Wei, Lijia, 2012.
"A hidden Markov model for the detection of pure and mixed strategy play in games,"
39896, University Library of Munich, Germany.
- Jason Shachat & J. Todd Swarthout & Lijia Wei, 2012. "A hidden Markov model for the detection of pure and mixed strategy play in games," Experimental Economics Center Working Paper Series 2012-11, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Patricia Modat).
If references are entirely missing, you can add them using this form.