[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/pri/indrel/174.html
   My bibliography  Save this paper

Using the Longitudinal Structure of Earnings to Estimate the Effect of Training Programs

Author

Listed:
  • Orley Ashenfelter

    (Princeton University)

  • David E. Card

    (Princeton University)

Abstract
In this paper we set out some methods that utilize the longitudinal structure of earnings of trainees and a comparison group to estimate the effectiveness of training for the 1976 cohort of CETA trainees. By fitting a components-of-variance model of earnings to the control group, and by posing a simple model of program participation, we are able to predict the entire pre-training and post-training earnings histories of the trainees. The fit of these predictions to the pre-training earnings of the CETA participants provides a test of the model of earnings generation and program participation and a simple check on the corresponding estimate of the effectiveness of training. Two assumptions have a strong influence on the magnitude of the estimated training effects: the timing of the decision to participate in training, and the presence or absence of individual-specific trends in earnings. We find considerable evidence that trainee earnings con- tain permanent, transitory,and trend-like components of selection bias. We are less successful in empirically distinguishing between alternative assumptions on the timing of the participation decision. If earnings in the year prior to training are the appropriate selection criterion, then our estimate of the training effect for adult male CETA partici- pants is about 300 dollars per year. Our estimates for female CETA participants are larger and less sensitive to alternative models of program participation.

Suggested Citation

  • Orley Ashenfelter & David E. Card, 1984. "Using the Longitudinal Structure of Earnings to Estimate the Effect of Training Programs," Working Papers 554, Princeton University, Department of Economics, Industrial Relations Section..
  • Handle: RePEc:pri:indrel:174
    as

    Download full text from publisher

    File URL: https://dataspace.princeton.edu/bitstream/88435/dsp018s45q877p/1/174.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. LaLonde, Robert J, 1986. "Evaluating the Econometric Evaluations of Training Programs with Experimental Data," American Economic Review, American Economic Association, vol. 76(4), pages 604-620, September.
    2. Ashenfelter, Orley C, 1978. "Estimating the Effect of Training Programs on Earnings," The Review of Economics and Statistics, MIT Press, vol. 60(1), pages 47-57, February.
    3. Chamberlain, Gary, 1984. "Panel data," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 22, pages 1247-1318, Elsevier.
    4. Bassi, Laurie J, 1984. "Estimating the Effect of Training Programs with Non-Random Selection," The Review of Economics and Statistics, MIT Press, vol. 66(1), pages 36-43, February.
    5. Laurie J. Bassi, 1983. "The Effect of CETA on the Postprogram Earnings of Participants," Journal of Human Resources, University of Wisconsin Press, vol. 18(4), pages 539-556.
    6. Robert LaLonde, 1984. "Evaluating the Econometric Evaluations of Training Programs with Experimental Data," Working Papers 563, Princeton University, Department of Economics, Industrial Relations Section..
    7. repec:fth:prinin:183 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097, Elsevier.
    2. Orley Ashenfelter & David E. Bloom & Gordon B. Dahl, 2013. "Lawyers as Agents of the Devil in a Prisoner's Dilemma Game," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 10(3), pages 399-423, September.
    3. Gustavo Canavire-Bacarreza & Luis Castro Peñarrieta & Darwin Ugarte Ontiveros, 2021. "Outliers in Semi-Parametric Estimation of Treatment Effects," Econometrics, MDPI, vol. 9(2), pages 1-32, April.
    4. Robert J. LaLonde, 2003. "Employment and Training Programs," NBER Chapters, in: Means-Tested Transfer Programs in the United States, pages 517-586, National Bureau of Economic Research, Inc.
    5. Chabé-Ferret, Sylvain, 2017. "Should We Combine Difference In Differences with Conditioning on Pre-Treatment Outcomes?," TSE Working Papers 17-824, Toulouse School of Economics (TSE).
    6. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    7. Regner, Hakan, 2002. "A nonexperimental evaluation of training programs for the unemployed in Sweden," Labour Economics, Elsevier, vol. 9(2), pages 187-206, April.
    8. Peter R. Mueser & Kenneth R. Troske & Alexey Gorislavsky, 2007. "Using State Administrative Data to Measure Program Performance," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 761-783, November.
    9. James J. Heckman & Jeffrey A. Smith, 1999. "The Pre-Program Earnings Dip and the Determinants of Participation in a Social Program: Implications for Simple Program Evaluation Strategies," NBER Working Papers 6983, National Bureau of Economic Research, Inc.
    10. Richard Blundell & Monica Costa Dias, 2009. "Alternative Approaches to Evaluation in Empirical Microeconomics," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
    11. David H. Dean & Robert C. Dolan & Robert M. Schmidt, 1999. "Evaluating the Vocational Rehabilitation Program Using Longitudinal Data," Evaluation Review, , vol. 23(2), pages 162-189, April.
    12. Richard Blundell & Monica Costa Dias & Costas Meghir & John Van Reenen, 2001. "Evaluating the employment impact of a mandatory job search assistance program," IFS Working Papers W01/20, Institute for Fiscal Studies.
    13. David H. Finifter, 1987. "An Approach To Estimating Net Earnings Impact of Federally Subsidized Employment and Training Programs," Evaluation Review, , vol. 11(4), pages 528-547, August.
    14. O'Higgins, Niall, 2001. "Youth unemployment and employment policy: a global perspective," MPRA Paper 23698, University Library of Munich, Germany.
    15. Barros, Ricardo Paes de, 2010. "The Impact of Social Interventions: Nonparametric Identification from Choice-Based Samples," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 30(2), December.
    16. David H. Greenberg & Charles Michalopoulos & Philip K. Robin, 2006. "Do experimental and nonexperimental evaluations give different answers about the effectiveness of government-funded training programs?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 25(3), pages 523-552.
    17. Cockx, Bart & Van der Linden, Bruno & Karaa, Adel, 1998. "Active Labour Market Policies and Job Tenure," Oxford Economic Papers, Oxford University Press, vol. 50(4), pages 685-708, October.
    18. Zweimuller, Josef & Winter- Ebmer, Rudolf, 1992. "Manpower Training Programs and Employment Stability," Institute for Research on Labor and Employment, Working Paper Series qt87z0674q, Institute of Industrial Relations, UC Berkeley.
    19. David Card, 2022. "Design-Based Research in Empirical Microeconomics," American Economic Review, American Economic Association, vol. 112(6), pages 1773-1781, June.
    20. Aki Kangasharju, 2007. "Do Wage Subsidies Increase Employment in Subsidized Firms?," Economica, London School of Economics and Political Science, vol. 74(293), pages 51-67, February.

    More about this item

    JEL classification:

    • N2 - Economic History - - Financial Markets and Institutions

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pri:indrel:174. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Bobray Bordelon (email available below). General contact details of provider: https://edirc.repec.org/data/irprius.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.