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Assessing the employment effects of vocational training using a one-factor model

[Zeitschriftenartikel]

Andrén, Daniela; Andrén, Thomas

Zitationshinweis

Bitte beziehen Sie sich beim Zitieren dieses Dokumentes immer auf folgenden Persistent Identifier (PID):http://nbn-resolving.de/urn:nbn:de:0168-ssoar-239251

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Abstract Matching estimators use observed variables to adjust for differences between groups to eliminate sample selection bias. When minimum relevant information is not available, matching estimates are biased. If access to data on usually unobserved factors that determine the selection process is unavailable, other estimators should be used. This study advocates the one-factor control function estimator that allows for unobserved heterogeneity with factor-loading technique. Treatment effects of vocational training in Sweden are estimated with mean and distributional parameters, and then compared with matching estimates. The results indicate that unobservables slightly increase the treatment effect for those treated.
Klassifikation Bildungswesen quartärer Bereich, Berufsbildung; Arbeitsmarktpolitik
Freie Schlagwörter vocational training; sorting; unobserved heterogeneity; one-factor model; matching estimator
Sprache Dokument Englisch
Publikationsjahr 2006
Seitenangabe S. 2469-2486
Zeitschriftentitel Applied Economics, 38 (2006) 21
DOI http://dx.doi.org/10.1080/00036840500427577
Status Postprint; begutachtet (peer reviewed)
Lizenz PEER Licence Agreement (applicable only to documents from PEER project)
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