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Dynamic Treatment Assignment : The Consequences for Evaluations Using Observational Data

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dc.creator Fredriksson, Peter
dc.creator Johansson, Per
dc.date 2004
dc.date.accessioned 2013-10-16T07:09:48Z
dc.date.available 2013-10-16T07:09:48Z
dc.date.issued 2013-10-16
dc.identifier http://hdl.handle.net/10419/20297
dc.identifier ppn:381659534
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/10419/20297
dc.description This paper discusses the evaluation problem using observational data when the timing of treatment is an outcome of a stochastic process. We show that the duration framework in discrete time provides a fertile ground for effect evaluations. We suggest easy-to-use nonparametric survival function matching estimators. These estimators can be used to estimate the time profile of the treatment. We apply one of the estimators to evaluate the effects of an employment subsidies program. The longer run program effects are positive. The estimated time profile suggests locking-in effects while participating in the program and a big upward jump in the employment hazard upon program completion.
dc.language eng
dc.relation IZA Discussion paper series 1062
dc.rights http://www.econstor.eu/dspace/Nutzungsbedingungen
dc.subject C14
dc.subject C41
dc.subject ddc:330
dc.subject treatment effects
dc.subject dynamic treatment assignment
dc.subject program evaluation
dc.subject method of matching
dc.subject Wirtschaftspolitische Wirkungsanalyse
dc.subject Nichtparametrisches Verfahren
dc.subject Matching
dc.subject Schätztheorie
dc.subject Lohnsubvention
dc.subject Schätzung
dc.subject Theorie
dc.subject Schweden
dc.subject treatment effect
dc.title Dynamic Treatment Assignment : The Consequences for Evaluations Using Observational Data
dc.type doc-type:workingPaper

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