| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP12470 |
| DP12470 Identification of Counterfactuals in Dynamic Discrete Choice Models | |
| Myrto Kalouptsidi; Eduardo Souza-Rodrigues; Paul Scott | |
| 发表日期 | 2017-11-28 |
| 出版年 | 2017 |
| 语种 | 英语 |
| 摘要 | 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. |
| 主题 | Industrial Organization ; Labour Economics |
| 关键词 | Identification Dynamic discrete choice Counterfactual Welfare |
| URL | https://cepr.org/publications/dp12470 |
| 来源智库 | Centre for Economic Policy Research (United Kingdom) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/541281 |
| 推荐引用方式 GB/T 7714 | Myrto Kalouptsidi,Eduardo Souza-Rodrigues,Paul Scott. DP12470 Identification of Counterfactuals in Dynamic Discrete Choice Models. 2017. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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