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
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.
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: 26 April 2024).
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