Analyzing the Effect of Dynamically Assigned Treatments Using Duration Models, Binary Treatment Models, and Panel Data Models

dc.creator	Abbring, Jaap H.
dc.creator	van den Berg, Gerard J.
dc.date	2003
dc.date.accessioned	2013-10-16T07:08:31Z
dc.date.available	2013-10-16T07:08:31Z
dc.date.issued	2013-10-16
dc.identifier	http://hdl.handle.net/10419/20076
dc.identifier	ppn:367380307
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/10419/20076
dc.description	Often, the moment of a treatment and the moment at which the outcome of interest occurs are realizations of stochastic processes with dependent unobserved determinants. Notably, both treatment and outcome are characterized by the moment they occur. In this paper, we compare different methods of inference of the treatment effect. We argue that the timing of the treatment relative to the outcome conveys useful information on the treatment effect, which is discarded in binary treatment frameworks.
dc.language	eng
dc.publisher
dc.relation	IZA Discussion paper series 831
dc.rights	http://www.econstor.eu/dspace/Nutzungsbedingungen
dc.subject	C41
dc.subject	C31
dc.subject	C14
dc.subject	ddc:330
dc.subject	program evaluation
dc.subject	treatment effects
dc.subject	timing-of-events method
dc.subject	bivariate duration analysis
dc.subject	selection bias
dc.subject	Wirtschaftspolitische Wirkungsanalyse
dc.subject	Mikroökonometrie
dc.subject	Statistische Bestandsanalyse
dc.subject	Panel
dc.subject	Theorie
dc.title	Analyzing the Effect of Dynamically Assigned Treatments Using Duration Models, Binary Treatment Models, and Panel Data Models
dc.type	doc-type:workingPaper

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