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Semiparametric identification and estimation of binary discrete games of incomplete information with correlated private signals

Yuanyuan Wan () and Haiqing Xu ()
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Yuanyuan Wan: Department of Economics, University of Toronto

No 130913, Department of Economics Working Papers from The University of Texas at Austin, Department of Economics

Abstract: This paper studies the identification and estimation of a static binary decision game of incomplete information. We make no parametric assumptions on the joint distribution of private signals and allow them to be correlated. We show that the parameters of interest can be point?identified subject to a scale normalization under mild support requirements for the regressors (publicly observed state variables) and errors (private signals). Following Manski and Tamer (2002), we propose a maximum score type estimator for the structural parameters and establish the asymptotic properties of the estimator.

Keywords: Semiparametric Identification and Estimation; Incomplete Information Games; Modified Maximum Score Estimator; U Process (search for similar items in EconPapers)
JEL-codes: C14 C35 C62 C72 (search for similar items in EconPapers)
Pages: 45 pages
Date: 2010-11
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https://webspace.utexas.edu/hx659/www/Files/wan_with_xu_2by2_game.pdf Revised version, 2012 (application/pdf)

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Persistent link: https://EconPapers.repec.org/RePEc:tex:wpaper:130913

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