Active Labor Market Policy Effects in a Dynamic Setting
This paper develops and implements a method to identify and estimate treatmenteffects in a dynamic setting where treatments may occur at any point in time. Bycombining the standard matching approach to the timing-of-events approach, itdemonstrates that the effect of the treatment on the treated at a given date can beidentified although non-treated may be treated later in time. The approach builds on a"no anticipation" assumption and the assumption of conditional independence betweenthe duration before treatment and the duration before exit. To illustrate the approach,the paper studies the effect of training for unemployed workers in France, using a richregister data set. Training has little impact on unemployment duration. Thecontamination of the standard matching estimator due to later entries into treatment islarge if the treatment probability is high.
|Date of creation:||2008|
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- Fredriksson, Peter & Johansson, Per, 2004. "Dynamic Treatment Assignment – The Consequences for Evaluations Using Observational Data," IZA Discussion Papers 1062, Institute for the Study of Labor (IZA).
- Stéphane Carcillo & David Grubb, 2006. "From Inactivity to Work: The Role of Active Labour Market Policies," OECD Social, Employment and Migration Working Papers 36, OECD Publishing.
- Fredriksson, Peter & Johansson, Per, 2008. "Dynamic Treatment Assignment," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 435-445.
- de Luna, Xavier & Johansson, Per, 2007. "Matching estimators for the effect of a treatment on survival times," Working Paper Series 2007:1, IFAU - Institute for Evaluation of Labour Market and Education Policy.
- Richardson, Katarina & van den Berg, Gerard J, 2008. "Duration dependence versus unobserved heterogeneity in treatment effects: Swedish labor market training and the transition rate to employment," Working Paper Series 2008:7, IFAU - Institute for Evaluation of Labour Market and Education Policy.
- Michael Lechner & Ruth Miquel, 2010.
"Identification of the effects of dynamic treatments by sequential conditional independence assumptions,"
Springer, vol. 39(1), pages 111-137, August.
- Michael Lechner & Ruth Miquel, 2005. "Identification of the Effects of Dynamic Treatments by Sequential Conditional Independence Assumptions," University of St. Gallen Department of Economics working paper series 2005 2005-17, Department of Economics, University of St. Gallen.
- Jaap H. Abbring & Gerard J. van den Berg, 2003. "The Nonparametric Identification of Treatment Effects in Duration Models," Econometrica, Econometric Society, vol. 71(5), pages 1491-1517, 09.
- James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," Review of Economic Studies, Oxford University Press, vol. 65(2), pages 261-294. Full references (including those not matched with items on IDEAS)
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