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Does Federally-Funded Job Training Work? Nonexperimental Estimates of WIA Training Impacts Using Longitudinal Data on Workers and Firms

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  • Fredrik Andersson
  • Harry J. Holzer
  • Julia I. Lane
  • David Rosenblum
  • Jeffrey Smith

Abstract

We study the job training provided under the US Workforce Investment Act (WIA) to adults and dislocated workers in two states. Our substantive contributions center on impacts estimated non-experimentally using administrative data. These impacts compare WIA participants who do and do not receive training. In addition to the usual impacts on earnings and employment, we link our state data to the Longitudinal Employer-Household Dynamics (LEHD) data at the US Census Bureau, which allows us to estimate impacts on the characteristics of the firms at which participants find employment. We find moderate positive impacts on employment, earnings and desirable firm characteristics for adults, but not for dislocated workers. Our primary methodological contribution consists of assessing the value of the additional conditioning information provided by the LEHD relative to the data available in state Unemployment Insurance (UI) earnings records. We find that value to be zero.

Suggested Citation

  • Fredrik Andersson & Harry J. Holzer & Julia I. Lane & David Rosenblum & Jeffrey Smith, 2018. "Does Federally-Funded Job Training Work? Nonexperimental Estimates of WIA Training Impacts Using Longitudinal Data on Workers and Firms," Working Papers 18-02, Center for Economic Studies, U.S. Census Bureau.
  • Handle: RePEc:cen:wpaper:18-02
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    1. James J. Heckman & Carolyn Heinrich & Jeffrey Smith, 2002. "The Performance of Performance Standards," Journal of Human Resources, University of Wisconsin Press, vol. 37(4), pages 778-811.
    2. Lechner, Michael & Wunsch, Conny, 2013. "Sensitivity of matching-based program evaluations to the availability of control variables," Labour Economics, Elsevier, vol. 21(C), pages 111-121.
    3. 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.
    4. Pascal Courty & Gerald Marschke, 2004. "An Empirical Investigation of Gaming Responses to Explicit Performance Incentives," Journal of Labor Economics, University of Chicago Press, vol. 22(1), pages 23-56, January.
    5. Irma Perez-Johnson & Quinn Moore & Robert Santillano, "undated". "Improving the Effectiveness of Individual Training Accounts: Long-Term Findings from an Experimental Evaluation of Three Service Delivery Models (Appendices)," Mathematica Policy Research Reports 8184db8183ac4abca4b55c4f0, Mathematica Policy Research.
    6. repec:mpr:mprres:7217 is not listed on IDEAS
    7. Jeffrey Smith & Jeremy Lise & Shannon N. Seitz, 2003. "Equilibrium Policy Experiments And The Evaluation Of Social Programs," Working Paper 1012, Economics Department, Queen's University.
    8. Chabé-Ferret, Sylvain, 2012. "Matching vs Differencing when Estimating Treatment Effects with Panel Data: the Example of the Effect of Job Training Programs on Earnings," LERNA Working Papers 12.24.381, LERNA, University of Toulouse.
    9. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," Review of Economic Studies, Oxford University Press, vol. 64(4), pages 605-654.
    10. Martin Biewen & Bernd Fitzenberger & Aderonke Osikominu & Marie Paul, 2014. "The Effectiveness of Public-Sponsored Training Revisited: The Importance of Data and Methodological Choices," Journal of Labor Economics, University of Chicago Press, vol. 32(4), pages 837-897.
    11. repec:mpr:mprres:5840 is not listed on IDEAS
    12. James Heckman & Salvador Navarro-Lozano, 2004. "Using Matching, Instrumental Variables, and Control Functions to Estimate Economic Choice Models," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 30-57, February.
    13. Black, Dan A. & Smith, J.A.Jeffrey A., 2004. "How robust is the evidence on the effects of college quality? Evidence from matching," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 99-124.
    14. 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.
    15. Markus Frlich, 2004. "Finite-Sample Properties of Propensity-Score Matching and Weighting Estimators," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 77-90, February.
    16. Carolyn Heinrich & Peter Mueser & Kenneth Troske & Kyung-Seong Jeon & Daver Kahvecioglu, 2013. "Do Public Employment and Training Programs Work?," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 2(1), pages 1-23, December.
    17. Matias Busso & John DiNardo & Justin McCrary, 2014. "New Evidence on the Finite Sample Properties of Propensity Score Reweighting and Matching Estimators," The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 885-897, December.
    18. James J. Heckman & Carolyn J. Heinrich & Pascal Courty & Gerald Marschke & Jeffrey Smith (ed.), 2011. "The Performance of Performance Standards," Books from Upjohn Press, W.E. Upjohn Institute for Employment Research, number tpps.
    19. James J. Heckman & Jeffrey A. Smith, 1995. "Assessing the Case for Social Experiments," Journal of Economic Perspectives, American Economic Association, vol. 9(2), pages 85-110, Spring.
    20. Michael Lechner & Conny Wunsch, 2009. "Are Training Programs More Effective When Unemployment Is High?," Journal of Labor Economics, University of Chicago Press, vol. 27(4), pages 653-692, October.
    21. Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2003. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," Econometrica, Econometric Society, vol. 71(4), pages 1161-1189, July.
    22. Alberto Abadie & Guido W. Imbens, 2008. "On the Failure of the Bootstrap for Matching Estimators," Econometrica, Econometric Society, vol. 76(6), pages 1537-1557, November.
    23. Busso, Matias & DiNardo, John & McCrary, Justin, 2009. "New Evidence on the Finite Sample Properties of Propensity Score Matching and Reweighting Estimators," IZA Discussion Papers 3998, Institute of Labor Economics (IZA).
    24. repec:eee:labchp:v:2:y:1986:i:c:p:789-848 is not listed on IDEAS
    25. repec:adr:anecst:y:2008:i:91-92:p:17 is not listed on IDEAS
    26. Kornfeld, Robert & Bloom, Howard S, 1999. "Measuring Program Impacts on Earnings and Employment: Do Unemployment Insurance Wage Reports from Employers Agree with Surveys of Individuals?," Journal of Labor Economics, University of Chicago Press, vol. 17(1), pages 168-197, January.
    27. Burt S. Barnow & David Greenberg, 2015. "Do Estimated Impacts on Earnings Depend on the Source of the Data Used to Measure Them? Evidence From Previous Social Experiments," Evaluation Review, , vol. 39(2), pages 179-228, April.
    28. David H. Greenberg & Charles Michalopoulos & Philip K. Robins, 2004. "What Happens To The Effects Of Government-Funded Training Programs Over Time?," Journal of Human Resources, University of Wisconsin Press, vol. 39(1).
    29. Emily Oster, 2013. "Unobservable Selection and Coefficient Stability: Theory and Validation," NBER Working Papers 19054, National Bureau of Economic Research, Inc.
    30. Heinrich, Carolyn J. & Mueser, Peter R. & Troske, Kenneth & Jeon, Kyung-Seong & Kahvecioglu, Daver C., 2009. "New Estimates of Public Employment and Training Program Net Impacts: A Nonexperimental Evaluation of the Workforce Investment Act Program," IZA Discussion Papers 4569, Institute of Labor Economics (IZA).
    31. Annette Bergemann & Gerard J. Van Den Berg, 2008. "Active Labor Market Policy Effects for Women in Europe - A Survey," Annals of Economics and Statistics, GENES, issue 91-92, pages 385-408.
    32. Daniel Friedlander & David H. Greenberg & Philip K. Robins, 1997. "Evaluating Government Training Programs for the Economically Disadvantaged," Journal of Economic Literature, American Economic Association, vol. 35(4), pages 1809-1855, December.
    33. Harry J. Holzer & Julia I. Lane & Lars Vilhuber & Henry Jackson & George Putnam, 2001. "Escaping poverty for low-wage workers The role of employer characteristics and changes," Longitudinal Employer-Household Dynamics Technical Papers 2001-02, Center for Economic Studies, U.S. Census Bureau.
    34. David W. Stevens, 2007. "Employment that is not covered by state unemployment insurance Laws," Longitudinal Employer-Household Dynamics Technical Papers 2007-04, Center for Economic Studies, U.S. Census Bureau.
    35. Cahuc, Pierre & Le Barbanchon, Thomas, 2010. "Labor market policy evaluation in equilibrium: Some lessons of the job search and matching model," Labour Economics, Elsevier, vol. 17(1), pages 196-205, January.
    36. Fredriksson, Peter & Johansson, Per, 2002. "Program evaluation and random program starts," Working Paper Series 2003:1, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    37. John M. Abowd & Bryce E. Stephens & Lars Vilhuber & Fredrik Andersson & Kevin L. McKinney & Marc Roemer & Simon Woodcock, 2009. "The LEHD Infrastructure Files and the Creation of the Quarterly Workforce Indicators," NBER Chapters, in: Producer Dynamics: New Evidence from Micro Data, pages 149-230, National Bureau of Economic Research, Inc.
    38. Barbara Sianesi, 2004. "An Evaluation of the Swedish System of Active Labor Market Programs in the 1990s," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 133-155, February.
    39. Chabé-Ferret, Sylvain, 2015. "Analysis of the bias of Matching and Difference-in-Difference under alternative earnings and selection processes," Journal of Econometrics, Elsevier, vol. 185(1), pages 110-123.
    40. Peter Z. Schochet & John Burghardt & Sheena McConnell, 2008. "Does Job Corps Work? Impact Findings from the National Job Corps Study," American Economic Review, American Economic Association, vol. 98(5), pages 1864-1886, December.
    41. 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.
    42. repec:mpr:mprres:6097 is not listed on IDEAS
    43. Geoffrey L. Wallace & Robert Haveman, 2007. "The implications of differences between employer and worker employment|earnings reports for policy evaluation," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 26(4), pages 737-754.
    44. Robert J. LaLonde, 1995. "The Promise of Public Sector-Sponsored Training Programs," Journal of Economic Perspectives, American Economic Association, vol. 9(2), pages 149-168, Spring.
    45. Irma Perez-Johnson & Quinn Moore & Robert Santillano, "undated". "Improving the Effectiveness of Individual Training Accounts: Long-Term Findings from an Experimental Evaluation of Three Service Delivery Models," Mathematica Policy Research Reports ddb772ea2aa242a1a74579eb0, Mathematica Policy Research.
    46. Peter Z. Schochet & John Burghardt & Sheena McConnell, 2006. "National Job Corps Study and Longer-Term Follow-Up Study: Impact and Benefit-Cost Findings Using Survey and Summary Earnings Records Data," Mathematica Policy Research Reports 8074f4e4499d4e2ab1de13747, Mathematica Policy Research.
    47. Dolton, Peter & Smith, Jeffrey A., 2011. "The Impact of the UK New Deal for Lone Parents on Benefit Receipt," IZA Discussion Papers 5491, Institute of Labor Economics (IZA).
    48. 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.
    49. Bev Dahlby, 2008. "The Marginal Cost of Public Funds: Theory and Applications," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262042509.
    50. Timothy Dunne & J. Bradford Jensen & Mark J. Roberts, 2009. "Producer Dynamics: New Evidence from Micro Data," NBER Books, National Bureau of Economic Research, Inc, number dunn05-1.
    51. Devin G. Pope & Justin R. Sydnor, 2011. "Implementing Anti-discrimination Policies in Statistical Profiling Models," American Economic Journal: Economic Policy, American Economic Association, vol. 3(3), pages 206-231, August.
    52. Heckman, James J & Smith, Jeffrey A, 1999. "The Pre-programme Earnings Dip and the Determinants of Participation in a Social Programme. Implications for Simple Programme Evaluation Strategies," Economic Journal, Royal Economic Society, vol. 109(457), pages 313-348, July.
    53. John M. Abowd & Paul A. Lengermann & Kevin L. McKinney, 2002. "The Measurement of Human Capital in the U.S. Economy," Longitudinal Employer-Household Dynamics Technical Papers 2002-09, Center for Economic Studies, U.S. Census Bureau, revised Mar 2003.
    54. Louis Jacobson & Robert J. Lalonde & Daniel Sullivan, 2005. "The Impact of Community College Retraining on Older Displaced Workers: Should We Teach Old Dogs New Tricks?," ILR Review, Cornell University, ILR School, vol. 58(3), pages 398-415, April.
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    More about this item

    Keywords

    job training; active labor market program; program evaluation; Workforce Investment Act; administrative data;
    All these keywords.

    JEL classification:

    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
    • J08 - Labor and Demographic Economics - - General - - - Labor Economics Policies
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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