This chapter studies the microeconometric treatment-effect and structural approaches to dynamic policy evaluation. First, we discuss a reduced-form approach based on a sequential randomization or dynamic matching assumption that is popular in biostatistics. We then discuss two complementary approaches for treatments that are single stopping times and that allow for non- trivial dynamic selection on unobservables. The first builds on continuous-time duration and event-history models. The second extends the discrete-time dynamic discrete-choice literature.
Authors
![James Heckman](/sites/default/files/styles/square_desktop/public/2022-07/James%20Heckman.jpg?itok=zU2q-IGg)
Research Associate University of Chicago
James is a Research Associate of the IFS and the Henry Schultz Distinguished Service Professor of Economics at the University of Chicago.
![Person graphic](/sites/default/files/styles/square_desktop/public/2022-06/IFS-person-graphic.png?itok=hWCtTSrz)
Jaap Abbring
Working Paper details
- DOI
- 10.1920/wp.cem.2008.0508
- Publisher
- Springer
Suggested citation
Abbring, J and Heckman, J. (2008). Dynamic policy analysis. Berlin: Springer. Available at: https://ifs.org.uk/publications/dynamic-policy-analysis (accessed: 1 July 2024).
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