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Earnings Effects of Training Programs

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  • Lechner, Michael

    (University of St. Gallen)

  • Melly, Blaise

    (Brown University)

Abstract

In an evaluation of a job-training program, the influence of the program on the individual earnings capacity is important, because it reflects the program effect on human capital. Estimating these effects is complicated because earnings are observed for employed individuals only, and employment is itself an outcome of the program. Point identification of these effects can only be achieved by usually implausible assumptions. Therefore, weaker and more credible assumptions are suggested that bound various average and quantile effects. For these bounds, consistent, nonparametric estimators are proposed. In a reevaluation of Germany's training programs of 1993 and 1994, we find that the programs considerably improve the long-run earnings capacity of its participants.

Suggested Citation

  • Lechner, Michael & Melly, Blaise, 2007. "Earnings Effects of Training Programs," IZA Discussion Papers 2926, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp2926
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    Cited by:

    1. Martin Huber & Giovanni Mellace, 2015. "Sharp Bounds on Causal Effects under Sample Selection," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(1), pages 129-151, February.
    2. Ulf Rinne & Marc Schneider & Arne Uhlendorff, 2011. "Do the skilled and prime-aged unemployed benefit more from training? Effect heterogeneity of public training programmes in Germany," Applied Economics, Taylor & Francis Journals, vol. 43(25), pages 3465-3494.
    3. Wiji Arulampalam & Alison Booth & Mark Bryan, 2010. "Are there asymmetries in the effects of training on the conditional male wage distribution?," Journal of Population Economics, Springer;European Society for Population Economics, vol. 23(1), pages 251-272, January.
    4. Martin Huber, 2014. "Treatment Evaluation in the Presence of Sample Selection," Econometric Reviews, Taylor & Francis Journals, vol. 33(8), pages 869-905, November.
    5. Manuela Deidda & Adriana Di Liberto & Marta Foddi & Giovanni Sulis, 2015. "Employment subsidies, informal economy and women’s transition into work in a depressed area: evidence from a matching approach," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-25, December.
    6. Nuria Rodriguez-Planas† & Jacob Benus, 2007. "Evaluative Active Labor Market Programmes in Romania," Working Papers 2007-31, FEDEA.
    7. Corinna Ghirelli & Enkelejda Havari & Giulia Santangelo & Marta Scettri, 2019. "Does on-the-job training help graduates find a job? Evidence from an Italian region," International Journal of Manpower, Emerald Group Publishing Limited, vol. 40(3), pages 500-524, February.
    8. Lechner, Michael & Wiehler, Stephan, 2007. "Does the Order and Timing of Active Labor Market Programs Matter?," IZA Discussion Papers 3092, Institute of Labor Economics (IZA).
    9. Jun Nie, 2010. "Training or search? evidence and an equilibrium model," Research Working Paper RWP 10-03, Federal Reserve Bank of Kansas City.
    10. Gueorgui Kambourov & Iourii Manovskii & Miana Plesca, 2020. "Occupational mobility and the returns to training," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 53(1), pages 174-211, February.
    11. Núria Rodríguez‐Planas, 2010. "Channels through which Public Employment Services and Small Business Assistance Programmes Work," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(4), pages 458-485, August.
    12. Tyrowicz, Joanna, 2009. "When Eastern Labour Markets Enter Western Europe CEECs. Labour Market Institutions upon Euro Zone Accession," MPRA Paper 15045, University Library of Munich, Germany.
    13. Michael Lechner & Stephan Wiehler, 2013. "Does the Order and Timing of Active Labour Market Programmes Matter?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(2), pages 180-212, April.
    14. Martin Huber & Giovanni Mellace, 2010. "Sharp IV bounds on average treatment effects under endogeneity and noncompliance," University of St. Gallen Department of Economics working paper series 2010 2010-31, Department of Economics, University of St. Gallen.

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    More about this item

    Keywords

    bounds; treatment effects; causal effects; program evaluation;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • J30 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - General
    • J68 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Public Policy

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