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

This paper studies the identification of Markov discrete choice models when we observe individuals' decisions and some state variables. We show the nonparametric identification of the choice probabilities associated with a counterfactual change in the one-period utility function.