Dynamic policy analysis
Jaap Abbring () and
No CWP05/08, CeMMAP working papers from Centre for Microdata Methods and Practice, Institute for Fiscal Studies
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.
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