Identification of Counterfactuals in Dynamic Discrete Choice Models

Myrto Kalouptsidi, Eduardo Souza-Rodrigues and Paul Scott

No 12470, CEPR Discussion Papers from C.E.P.R. Discussion Papers

Abstract: Dynamic discrete choice models (DDC) are not identified nonparametrically. However, the non-identification of DDC models does not necessarily imply non-identification of coun- terfactuals of interest. Using a novel approach that can accommodate both nonparametric and restricted payoff functions, we provide necessary and sufficient conditions for the iden- tification of counterfactual behavior and welfare for a broad class of counterfactuals. The conditions are simple to check and can be applied to virtually all counterfactuals in the DDC literature. To explore the robustness of counterfactual results to model restrictions in practice, we consider a numerical example of a monopolist’s entry problem, as well as an empirical model of agricultural land use. In each case, we provide examples of both identified and non-identified counterfactuals of interest.

Keywords: Identification; Dynamic discrete choice; Counterfactual; Welfare (search for similar items in EconPapers)
Date: 2017-11
New Economics Papers: this item is included in nep-dcm and nep-ecm
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Citations: View citations in EconPapers (4)

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