Earnings and Employment Effects of Continuous Gff-the-Job Training in East Germany After Unification

Journal of Business and Economic Statistics

Volumn 17, Issue 1, 1999, Pages 74-90

  Lechner, Michael ^a  

^a UNIVERSITY OF ST GALLEN   (Switzerland)

Author keywords

Causal analysis; East German labor market; Evaluation of training programs; Matching on the propensity score; Panel data

Indexed keywords

EID: 0033476953     PISSN: 07350015     EISSN: 15372707     Source Type: Journal    
DOI: 10.1080/07350015.1999.10524798     Document Type: Article

References (32)

1. Ashenfelter, O. (1978), “Estimating the Effect of Training Programs on Earnings,” The Review of Economics and Statistics, 58, 47-57.
2. Ashenfelter, O., and Card, D. (1985), “Using the Longitudinal Structure of Earnings to Estimate the Effect of Training Programs,” The Review of Economics and Statistics, 67, 648-660.
3. Bera, A., Jarques, C., and Lee, C. F. (1984), “Testing the Normality Assumption in Limited Dependent Variable Models,” International Economic Review, 24, 21-35.
4. Bundesministerium für Arbeit und Sozialordnung (1994), Statistisches Taschenbuch 1994: Arbeits- und Sozialstatistik, Bonn: Author.
5. Card, D., and Sullivan, D. (1988), “Measuring the Effect of Subsidized Training Programs on Movements in and out of Employment,” Econometrica, 56, 497-530.
6. Davidson, R., and MacKinnon, J. G. (1984), “Convenient Specification Tests for Logit and Probit Models,” Journal of Econometrics, 25, 241-262.
7. Davidson, R., and MacKinnon, J. G. (1993), Estimation and Inference in Econometrics, Oxford, U.K.: Oxford University Press.
8. Dehejia, R., and Wahba, S. (1995a), “A Matching Approach for Estimating Causal Effects in Non-experimental Studies,” mimeo, Harvard University, Dept, of Economics.
9. Dehejia, R., and Wahba, S. (1995b), “Causal Effects in Non-experimental Studies,” mimeo, Harvard University, Dept, of Economics.
10. Eichler, M., and Lechner, M. (in press), “Public Sector Sponsored Continuous Vocational Training in East Germany: Institutional Arrangements, Participants, and Results of Empirical Evaluations,” in Employment Policy in the Transition: Lessons from German Intergration, eds. R. T. Riphan, D. J. Snower, and K. F. Zimmermann, Berlin: Springer-Verlag.
11. Fitzenberger, B., and Prey, H. (1996), “Training in East Germany: An Evaluation of the Effects on Employment and Earnings,” unpublished manuscript, University of Konstanz, Dept, of Economics.
12. Heckman, J. J., and Robb, R. (1985), “Alternative Methods of Evaluating the Impact of Interventions,” in Longitudinal Analysis of Labor Market Data, eds. J. J. Heckman and B. Singer, New York: Cambridge University Press, pp. 156-245.
13. Heckman, J. J., Ichimura, H., Smith, J., and Todd, P. (1996), “Characterizing Selection Bias Using Experimental Data,” mimeo.
14. Heckman, J. J., Ichimura, H., and Todd, P. (1997), “Matching as an Econometric Evaluation Estimator: Evidence From Evaluating a Job Training Program,” mimeo.
15. Holland, P. W. (1986), “Statistics and Causal Inference” (with discussion), Journal of the American Statistical Association, 81, 945-970.
16. Institut der Deutschen Wirtschaft (1994), Zahlen zur wirtschaftlichen Entwicklung der Bundesrepublik Deutschland 1994, Köln: Author.
17. Lalonde, R. J. (1986), “Evaluating the Econometric Evaluations of Training Programs With Experimental Data,” American Economic Review, 76, 604-620.
18. Lechner, M. (1995), “Continuous Off-the-job Training in East Germany After Unification,” Discussion Paper 95-27, Zentrum für Europaishe Wirtschaftsforschung, Mannheim, Germany.
19. Lechner, M. (1996), “The Effects of Enterprise-Related Continuous Vocational Training in East Germany on Individual Employment and Earnings,” Discussion Paper 542-96, University of Mannheim, Beiträge zur angewandten Wirtschaftsforschung.
20. Orme, C. (1988), “The Calculation of the Information Matrix Test for Binary Data Models,” The Manchester School, 56, 370-376.
21. Orme, C. (1990), “The Small Sample Performance of the Information Matrix Test for Binary Data Models,” Journal of Econometrics, 4, 529-559.
22. Pannenberg, M., and Helberger, C. (1995), “Kurzfristige Auswirkungen staatlicher Qualifizierungsmaßnahmen in Ostdeutschland: Das Beispiel Fortildung und Umschulung,” Schriftenreihe des Vereins für Sozialpolitik, 249, 77-97.
23. Rosenbaum, P. R. (1984), “From Association to Causation on Observational Studies: The Role of Tests of Strongly Ignorable Treatment Assignment,” Journal of the American Statistical Association, 79, 41-48.
24. Rosenbaum, P. R., and Rubin, D. B. (1983), “The Central Role of the Propensity Score in Observational Studies for Causal Effects,” Biometrica, 70, 41-50.
25. Rosenbaum, P. R., and Rubin, D. B. (1985), “Constructing a Control Group Using Multivariate Matched Sampling Methods That Incorporate the Propensity Score,” The American Statistician, 39, 33-38.
26. Rubin, D. B. (1974), “Estimating Causal Effects of Treatments in Randomized and Nonrandomized Studies,” Journal of Educational Psychology, 66, 688-701.
27. Rubin, D. B. (1977), “Assignment of Treatment Group on the Basis of a Covariate,” Journal of Educational Statistics, 2, 1-26.
28. Rubin, D. B. (1979), “Using Multivariate Matched Sampling and Regression Adjustment to Control Bias in Observational Studies,” Journal of the American Statistical Association, 74, 318-328.
29. Rubin, D. B. (1991), “Practical Implications of Models of Statistical Inference for Causal Effects and the Critical Role of the Assignment Mechanism,” Biometrics, 41, 1213-1234.
30. Sobel, M. E. (1994), “Causal Inference in the Social and Behavioral Sciences,” in Handbook of Statistical Modeling for the Social and Behavioral Sciences, eds. G. Arminger, C. C. Clogg, and M. E. Sobel, New York: Plenum Press, pp. 1-38.
31. Wagner, G. G., Burkhauser, R. V., and Behringer, F. (1993), “The English Language Public Use File of the German Socio Economic Panel,” Journal of Human Resources, 28, 429-433.
32. White, H. (1982), “Maximum Likelihood Estimation of Misspecified Models,” Econometrica, 50, 1-25.