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Assessing The Employment Effects Of Vocational Training Using A One-Factor Model Author info | Abstract | Publisher info | Download info | Related research | Statistics Andrén, Thomas () (Department of Economics, School of Economics and Commercial Law, Göteborg University)
Andrén, Daniela () (Department of Economics, School of Economics and Commercial Law, Göteborg University)
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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.
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Paper provided by Göteborg University, Department of Economics in its series Working Papers in Economics with number
133.
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Length: 41 pages
Date of creation: 28 Jun 2004Date of revision:
Handle: RePEc:hhs:gunwpe:0133Contact details of provider: Postal: Department of Economics, School of Business, Economics and Law, Göteborg University Box 640, SE 405 30 GÖTEBORG, Sweden Phone: 031-773 10 00 Web page: http://www.handels.gu.se/econ/ More information through EDIRC
For technical questions regarding this item, or to correct its listing, contact: (Jens Anmark).
Keywords: vocational training ; sorting ; unobserved heterogeneity ; one-factor model ; matching estimator ; Other versions of this item:
Find related papers by JEL classification: J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials J38 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Public Policy
This paper has been announced in the following NEP Reports :
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