Welfare Analysis in Dynamic Models

• Tác giả: Victor Chernozhukov, Whitney Newey, Vira Semenova
• Ngôn ngữ: eng
• Ký hiệu phân loại: 330.1556 Systems, schools, theories
• Thông tin xuất bản: 2019
• Bộ sưu tập: Metadata
• ID: 163270

Tóm tắt

This paper provides welfare metrics for dynamic choice. We give estimation and inference methods for functions of the expected value of dynamic choice. These parameters include average value by group, average derivatives with respect to endowments, and structural decompositions. The example of dynamic discrete choice is considered. We give dual and doubly robust representations of these parameters. A least squares estimator of the dynamic Riesz representer for the parameter of interest is given. Debiased machine learners are provided and asymptotic theory given.