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

Thomas Andrén () and Daniela Andrén ()

Applied Economics, 2006, vol. 38, issue 21, 2469-2486

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.

Date: 2006
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/00036840500427577 (text/html)
Access to full text is restricted to subscribers.

Related works:
Working Paper: ASSESSING THE EMPLOYMENT EFFECTS OF VOCATIONAL TRAINING USING A ONE-FACTOR MODEL (2004)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:applec:v:38:y:2006:i:21:p:2469-2486

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20

DOI: 10.1080/00036840500427577

Access Statistics for this article

Applied Economics is currently edited by Anita Phillips

More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().