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Nonparametric identification of behavioral responses to counterfactual policy interventions in dynamic discrete decision processes

  • Aguirregabiria, Victor

This paper deals with identification in Markov dynamic discrete decision processes. It shows the nonparametric identification of the behavioral responses to counterfactual policy interventions that modify the one- period utility function.

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File URL: http://www.sciencedirect.com/science/article/B6V84-4FVH3Y0-6/2/9479409fcf06fcf937e6df01e0c64f2b
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Article provided by Elsevier in its journal Economics Letters.

Volume (Year): 87 (2005)
Issue (Month): 3 (June)
Pages: 393-398

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Handle: RePEc:eee:ecolet:v:87:y:2005:i:3:p:393-398
Contact details of provider: Web page: http://www.elsevier.com/locate/ecolet

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  1. Thierry Magnac & David Thesmar, 2002. "Identifying Dynamic Discrete Decision Processes," Econometrica, Econometric Society, vol. 70(2), pages 801-816, March.
  2. J. Rust & J. F. Traub & H. Wozniakowski, 2002. "Is There a Curse of Dimensionality for Contraction Fixed Points in the Worst Case?," Econometrica, Econometric Society, vol. 70(1), pages 285-329, January.
  3. Victor Aguirregabiria & Pedro Mira, 1999. "Swapping the Nested Fixed-Point Algorithm: a Class of Estimators for Discrete Markov Decision Models," Computing in Economics and Finance 1999 332, Society for Computational Economics.
  4. Matzkin, Rosa L., 1993. "Nonparametric identification and estimation of polychotomous choice models," Journal of Econometrics, Elsevier, vol. 58(1-2), pages 137-168, July.
  5. Hotz, V.J. & Miller, R.A., 1991. "Conditional Choice Probabilities and the Estimation of Dynamic Models," GSIA Working Papers 1992-12, Carnegie Mellon University, Tepper School of Business.
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