Partial Identification and Inference for Dynamic Models and Counterfactuals
收藏NBER2020-02-01 更新2025-01-04 收录
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https://www.nber.org/papers/w26761
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资源简介：
We provide a general framework for investigating partial identification of structural dynamic discrete choice models and their counterfactuals, along with uniformly valid inference procedures. In doing so, we derive sharp bounds for the model parameters, counterfactual behavior, and low-dimensional
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美国国家经济研究局创建时间：
2020-02-01
