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Identification of the Effects of Dynamic Treatments by Sequential Conditional Independence Assumptions

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.
(doi: 10.1007/s00181-009-0297-3)
(Download Internet Appendix: pdf, 207 kb)
Published online: 1 May 2009
Printed version: August 2010
   
type journal paper
   
keywords Labor market effects of training programs; Dynamic treatment regimes; Nonparametric identification; Causal effects; Sequential randomization; Program evaluation; Treatment effects; Dynamic matching; Panel data
   
language English
kind of paper journal article
date of appearance 1-5-2009
journal Empirical Economics
publisher Physica/Springer
ISSN 0377-7332
ISSN (online) 1435-8921
volume of journal 39
number of issue 1
page(s) 111-137
review double-blind review
   
citation Lechner, M., & Miquel, R. (2009). Identification of the Effects of Dynamic Treatments by Sequential Conditional Independence Assumptions. Empirical Economics, 39(1), 111-137.