Identification of the Effects of Dynamic Treatments by Sequential Conditional Independence Assumptions
Journal
Empirical Economics
ISSN
0377-7332
ISSN-Digital
1435-8921
Type
journal article
Date Issued
2010-08
Author(s)
Abstract
This paper approaches the dynamic analysis of the effects of training programs for the unemployed in West Germany, or in general the effects of sequences of interventions, from a potential outcome perspective. The identifying power of different assumptions concerning the connection between the dynamic selection process and the outcomes of different sequences is discussed. When participation in the particular sequence of programs is decided period by period depending on its success so far, many parameters of interest are no longer identified. Nevertheless, some interesting dynamic forms of the average treatment effect are identified by a sequential randomization assumption. Based on this approach, we present some new results on the effectiveness of West-German training programs.
Language
English
Keywords
Labor market effects of training programs
Dynamic treatment regimes
Nonparametric identification
Causal effects
Sequential randomization
Program evaluation
Treatment effects
Dynamic matching
Panel data
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher
Physica-Verl.
Publisher place
Heidelberg
Volume
39
Number
1
Start page
111
End page
137
Pages
27
Subject(s)
Eprints ID
15415
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