Dynamic discrete choice (DDC) models are not identified nonparametrically, but the non‐identification of models does not necessarily imply the nonidentification of counterfactuals. We derive novel results for the identification of counterfactuals in DDC models, such as non‐additive changes in payoffs or changes to agents' choice sets. In doing so, we propose a general framework that allows the investigation of the identification of a broad class of counterfactuals (covering virtually any counterfactual encountered in applied work). To illustrate the results, we consider a firm entry/exit problem numerically, as well as an empirical model of agricultural land use. In each case, we provide examples of both identified and nonidentified counterfactuals of interest.

中文翻译：

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动态离散选择模型中反事实的识别

动态离散选择（DDC）模型不是非参数识别的，但是模型的不确定性不一定意味着对事实的不确定性。我们得出了DDC模型中反事实识别的新颖结果，例如收益的非累加变化或代理商选择集的变化。在此过程中，我们提出了一个通用框架，该框架允许调查各种反事实的识别（几乎涵盖了在应用工作中遇到的任何反事实）。为了说明结果，我们从数字上考虑了一个牢固的进入/退出问题，以及一个农业土地利用的经验模型。在每种情况下，我们都提供了已识别和未识别的关注反事实的示例。