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dc.contributor.authorLechner, Michaelen
dc.contributor.authorWunsch, Connyen
dc.date.accessioned2010-08-11T09:04:55Z-
dc.date.available2010-08-11T09:04:55Z-
dc.date.issued2010-
dc.identifier.urihttp://hdl.handle.net/10419/37434-
dc.description.abstractBased on a new, exceptionally informative and large German linked employer-employee administrative dataset, we investigate the question whether the omission of important control variables in matching estimation leads to biased impact estimates of typical active labour market programmes for the unemployed. Such biases would lead to false policy conclusions about the effectiveness of these expensive policies. Based on our preliminary findings, it seems that controlling for standard demographic variables removes already a substantial part of the potential selection bias.en
dc.language.isoengen
dc.publisher|aVerein für Socialpolitik |cFrankfurt a. M.en
dc.relation.ispartofseries|aBeiträge zur Jahrestagung des Vereins für Socialpolitik 2010: Ökonomie der Familie - Session: Evaluation Econometrics |xA6-V1en
dc.subject.jelJ68en
dc.subject.jelJ64en
dc.subject.jelJ69en
dc.subject.ddc330en
dc.subject.keywordTrainingen
dc.subject.keywordjob search assistanceen
dc.subject.keywordmatching estimationen
dc.subject.keywordactive labour market policiesen
dc.titleWhich control variables do we really need for matching based evaluations of labour market programmes?-
dc.typeConference Paperen
dc.identifier.ppn654902992en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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