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Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/10419/20076
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dc.creatorAbbring, Jaap H.-
dc.creatorvan den Berg, Gerard J.-
dc.date2003-
dc.date.accessioned2013-10-16T07:08:31Z-
dc.date.available2013-10-16T07:08:31Z-
dc.date.issued2013-10-16-
dc.identifierhttp://hdl.handle.net/10419/20076-
dc.identifierppn:367380307-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/10419/20076-
dc.descriptionOften, 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.languageeng-
dc.publisher-
dc.relationIZA Discussion paper series 831-
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-
dc.subjectC41-
dc.subjectC31-
dc.subjectC14-
dc.subjectddc:330-
dc.subjectprogram evaluation-
dc.subjecttreatment effects-
dc.subjecttiming-of-events method-
dc.subjectbivariate duration analysis-
dc.subjectselection bias-
dc.subjectWirtschaftspolitische Wirkungsanalyse-
dc.subjectMikroökonometrie-
dc.subjectStatistische Bestandsanalyse-
dc.subjectPanel-
dc.subjectTheorie-
dc.titleAnalyzing the Effect of Dynamically Assigned Treatments Using Duration Models, Binary Treatment Models, and Panel Data Models-
dc.typedoc-type:workingPaper-
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