Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/79368 
Year of Publication: 
2008
Series/Report no.: 
cemmap working paper No. CWP05/08
Publisher: 
Centre for Microdata Methods and Practice (cemmap), London
Abstract: 
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.
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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