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Assessing the employment effects of vocational training using a one-factor model
[Zeitschriftenartikel]
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 unavailab... mehr
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.... weniger
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
https://doi.org/10.1080/00036840500427577
Status
Postprint; begutachtet (peer reviewed)
Lizenz
PEER Licence Agreement (applicable only to documents from PEER project)