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Faculty of Economics

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Srisuma, S. and Linton, O.

Semiparametric estimation of Markov decision processes with continuous state space

Journal of Econometrics

Vol. 166(2) pp. 320-341 (2011)

Abstract: We propose a general two-step estimator for a popular Markov discrete choice model that includes a class of Markovian games with continuous observable state space. Our estimation procedure generalizes the computationally attractive methodology of Pesendorfer and Schmidt-Dengler (2008) that assumed finite observable states. This extension is non-trivial as the policy value functions are solutions to some type II integral equations. We show that the inverse problem is well-posed. We provide a set of primitive conditions to ensure root-T consistent estimation for the finite dimensional structural parameters and the distribution theory for the value functions in a time series framework.

JEL Codes: C13, C14, C51

Author links: Oliver Linton  

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