Assessing the impact of training on unemployment duration using hazard models with instrumental variables

• Authors: Joanna Landmesser
• Languages of publication: EN

Abstracts

EN

The goal of the study is to prove the effectiveness of training programs directed to the unemployed on the local labor market in Poland. We estimate a semiparametric hazard model to assess the impact of training on the individual’s unemployment duration. To resolve the potential sample selection problem, the participation in a training program is instrumented using a probit model. The main question of this paper is whether the training significantly raises the transition rate from the unemployment into the employment state.

Keywords

EN

program’s evaluation; instrumental variable method; hazard models

• Publisher: Katedra Ekonometrii i Statystyki, Szkoła Główna Gospodarstwa Wiejskiego w Warszawie
• Journal: Metody Ilościowe w Badaniach Ekonomicznych
• Year: 2010
• Volume: 11
• Issue: 1
• Pages: 100-109

Dates

published

2010

Contributors

author

Joanna Landmesser

• Department of Econometrics and Statistics Warsaw University of Life Sciences

References

• Bijwaard G. (2008) Instrumental Variable Estimator for Duration Data, Tinbergen Institute Discussion Paper, No. 032/4.
• Blundell R., Dearden L., Meghir C. (1994) The Determinants and Effects of Work Related Training in Britain, Working Paper, Institute for Fiscal Studies, London.
• Bowden R.J., Turkington D.A. (1984) Instrumental Variables, Cambridge University Press, Cambridge.
• Bukowski M. (ed.) (2008) Employment in Poland 2007: Security on Flexible Labour Market, Ministry of Labour and Social Policy, Warsaw.
• Cameron A.C., Trivedi P.K. (2005) Microeconometrics: Methods and Applications, Cambridge University Press, New York.
• Cox D.R. (1972) Regression Models and Life Tables (with Discussion), Journal of the Royal Statistical Society, Series B 34.
• Dehejia R.H., Wahba S. (1999) Causal Effects in Nonexperimental Studies: Reevaluating the Evaluation of Training Programs, Journal of the American Statistical Association, 94, pp. 1053-1062.
• Heckman J.J., Ichimura, H., Smith, J.A. and Todd, P. (1998) Characterising Selection Bias Using Experimental Data, Econometrica, 66(5), pp. 1017-98.
• Hosmer D., Lemeshow S. (1999) Applied Survival Analysis: Regression Modeling of Time to Event Data, John Wiley and Sons, New York.
• Hujer R., Maurer K.-O., Wellner M. (1999) Estimating the Effect of Vocational Training on Unemployment Duration in West Germany – A Discrete Hazard-Rate Model with
• Instrumental Variables, Jahrbücher für Nationalölkonomie und Statistik, Vol. 218, No. 1.
• Kalbfleisch J., Prentice R. (1980) The Statistical Analysis of Failure Time Data, John Wiley and Sons, New York.
• Kluve J., Lehmann H., Schmidt Ch.M. (2000) Disentangling Treatment Effects of Polish Active Labor Market Policies: Evidence from Matched Samples, Centre for Economic Reform and Transformation, Discussion Paper No. 2000/07, Edinburgh.
• Lalonde R.J. (1986) Evaluating the Econometric Evaluations of Training Programs, American Economic Review, 76(4), pp. 604–620.
• Landmesser J. (2010) Ocena skuteczności szkoleń dla bezrobotnych z obszarów wiejskich, in: Roczniki Naukowe Stowarzyszenia Ekonomistów Rolnictwa i Agrobiznesu, Zeszyt 5, Tom XII, pp. 109-114.
• Puhani A.P. (1998) Advantage through Training? A Microeconometric Evaluation of the Employment Effects of Active Labour Market Programmes in Poland, ZEW Discussion Paper No. 98-25.
• Wodon Q., Minowa M. (2001) Training for the Urban Unemployed: A Reevaluation of Mexico’s Training Program, Probecat, World Bank Economists' Forum, Washington D.C., pp. 197-215.