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Assessing the employment effects of vocational training using a one-factor model
IZA, Bonn, Germany.
Department of Economics, Göteborg University, Göteborg, Sweden. (nationalekonomi)ORCID iD: 0000-0003-4570-7504
2006 (English)In: Applied Economics, ISSN 0003-6846, E-ISSN 1466-4283, Vol. 38, no 21, p. 2469-2486Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2006. Vol. 38, no 21, p. 2469-2486
National Category
Economics
Identifiers
URN: urn:nbn:se:oru:diva-39155DOI: 10.1080/00036840500427577ISI: 00243276800002Scopus ID: 2-s2.0-33751566223OAI: oai:DiVA.org:oru-39155DiVA, id: diva2:766917
Available from: 2014-11-28 Created: 2014-11-28 Last updated: 2017-12-05Bibliographically approved

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Andrén, Daniela

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  • apa
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  • Other locale
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  • asciidoc
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