Estimation of finite sequential games

Publication Type:
Journal Article
Citation:
Journal of Econometrics, 2014, 178 (2), pp. 716 - 726
Issue Date:
2014-01-01
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I propose a new estimation method for finite sequential games that is efficient, computationally attractive, and applicable to a fairly general class of finite sequential games that is beyond the scope of existing studies. The major challenge is the computation of high-dimensional truncated integration whose domain is complicated by strategic interaction. This complication resolves when unobserved off-the-equilibrium-path strategies are controlled for. Separately evaluating the likelihood contribution of each subgame-perfect equilibrium that generates the observed outcome allows the use of the GHK simulator, a widely used importance-sampling probit simulator. Monte Carlo experiments demonstrate the performance and robustness of the proposed method. © 2013 Elsevier B.V. All rights reserved.
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