Titelaufnahme

Titel
Long-run effects of dynamically assigned treatments: a new methodology and an evaluation of training effects on earnings / Gerard J. van den Berg (University of Bristol, IFAU, University of Groningen, IZA, ZEW, CEPR, CESifo and Fellow of the Econometric Society), Johan Vikström (IFAU and UCLS Uppsala University) ; IZA Institute of Labor Economics
VerfasserBerg, Gerard J. van den ; Vikström, Johan
KörperschaftForschungsinstitut zur Zukunft der Arbeit
ErschienenBonn, Germany : IZA Institute of Labor Economics, July 2019
Ausgabe
Elektronische Ressource
Umfang1 Online-Ressource (73 Seiten) : Diagramme
SerieDiscussion paper ; no. 12470
URNurn:nbn:de:hbz:5:2-196076 
Zugriffsbeschränkung
 Das Dokument ist öffentlich zugänglich im Rahmen des deutschen Urheberrechts.
Volltexte
Long-run effects of dynamically assigned treatments: a new methodology and an evaluation of training effects on earnings [0.31 mb]
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Zusammenfassung (Englisch)

We propose and implement a new method to estimate treatment effects in settings where individuals need to be in a certain state (e.g. unemployment) to be eligible for a treatment, treatments may commence at different points in time, and the outcome of interest is realized after the individual left the initial state. An example concerns the effect of training on earnings in subsequent employment. Any evaluation needs to take into account that some of those who are not trained at a certain time in unemployment will leave unemployment before training while others will be trained later. We are interested in effects of the treatment at a certain elapsed duration compared to "no treatment at any subsequent duration". We prove identification under unconfoundedness and propose inverse probability weighting estimators. A key feature is that the weights given to outcome observations of non-treated depend on the remaining time in the initial state. We study earnings effects of WIA training in the US and long-run effects of a training program for unemployed workers in Sweden.