Professor Jason Shachat jason.shachat@durham.ac.uk
Professor
A Hidden Markov Model for the Detection of Pure and Mixed Strategy Play in Games
Shachat, J.; Swarthout, J.; Wei, L.
Authors
J. Swarthout
L. Wei
Abstract
We propose a statistical model to assess whether individuals strategically use mixed strategies in repeated games. We formulate a hidden Markov model in which the latent state space contains both pure and mixed strategies. We apply the model to data from an experiment in which human subjects repeatedly play a normal form game against a computer that always follows its part of the unique mixed strategy Nash equilibrium profile. Estimated results show significant mixed strategy play and nonstationary dynamics. We also explore the ability of the model to forecast action choice.
Citation
Shachat, J., Swarthout, J., & Wei, L. (2015). A Hidden Markov Model for the Detection of Pure and Mixed Strategy Play in Games. Econometric Theory, 31(04), 729-752. https://doi.org/10.1017/s026646661400053x
Journal Article Type | Article |
---|---|
Online Publication Date | Oct 24, 2014 |
Publication Date | Aug 1, 2015 |
Deposit Date | Sep 17, 2014 |
Publicly Available Date | Mar 28, 2024 |
Journal | Econometric Theory |
Print ISSN | 0266-4666 |
Electronic ISSN | 1469-4360 |
Publisher | Cambridge University Press |
Peer Reviewed | Peer Reviewed |
Volume | 31 |
Issue | 04 |
Pages | 729-752 |
DOI | https://doi.org/10.1017/s026646661400053x |
Public URL | https://durham-repository.worktribe.com/output/1420795 |
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Copyright Statement
© Copyright Cambridge University Press 2014. This paper has been published in a revised form, subsequent to editorial input by Cambridge University Press in 'Econometric Theory' (31: 04 (2015) 729-752) http://journals.cambridge.org/action/displayJournal?jid=ECT
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