Jonathan James

Department of Economics, Duke University
Box 90097
Durham, NC 27708

E-Mail: EmailAddress: hidden: you can email any NBER-related person as first underscore last at nber dot org
Institutional Affiliation: California Polytechnic State University

NBER Working Papers and Publications

March 2012Approximating High-Dimensional Dynamic Models: Sieve Value Function Iteration
with Peter Arcidiacono, Patrick Bayer, Federico A. Bugni: w17890
Many dynamic problems in economics are characterized by large state spaces which make both computing and estimating the model infeasible. We introduce a method for approximating the value function of high-dimensional dynamic models based on sieves and establish results for the: (a) consistency, (b) rates of convergence, and (c) bounds on the error of approximation. We embed this method for approximating the solution to the dynamic problem within an estimation routine and prove that it provides consistent estimates of the model's parameters. We provide Monte Carlo evidence that our method can successfully be used to approximate models that would otherwise be infeasible to compute, suggesting that these techniques may substantially broaden the class of models that can be solved and estimated...

Published: "Approximating High Dimensional Dynamic Models: Sieve Value Function Iteration" with Pat Bayer, Federico Bugni, and Jon James, Advances in Econometrics, Vol. 31 (December 2013), 45-96.

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