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Identification of Counterfactuals in Dynamic Discrete Choice Models / Myrto Kalouptsidi, Paul T. Scott, Eduardo Souza-Rodrigues.
- Format:
- Book
- Author/Creator:
- Kalouptsidi, Myrto.
- Series:
- Working Paper Series (National Bureau of Economic Research) no. w21527.
- NBER working paper series no. w21527
- Language:
- English
- Physical Description:
- 1 online resource: illustrations (black and white);
- Place of Publication:
- Cambridge, Mass. National Bureau of Economic Research 2015.
- Summary:
- Dynamic discrete choice (DDC) models are not identified nonparametrically, but the non-identification of models does not necessarily imply the non-identification 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 non-identified counterfactuals of interest.
- Notes:
- Print version record
- September 2015.
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