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Do experimental and nonexperimental evaluations give different answers about the effectiveness of government-funded training programs?

Author

Listed:
  • David H. Greenberg

    (University of Maryland, Baltimore County)

  • Charles Michalopoulos

    (MDRC, New York City)

  • Philip K. Robin

    (University of Miami, Florida)

Abstract

This paper uses meta-analysis to investigate whether random assignment (or experimental) evaluations of voluntary government-funded training programs for the disadvantaged have produced different conclusions than nonexperimental evaluations. Information includes several hundred estimates from 31 evaluations of 15 programs that operated between 1964 and 1998. The results suggest that experimental and nonexperimental evaluations yield similar conclusions about the effectiveness of training programs, but that estimates of average effects for youth and possibly men might have been larger in experimental studies. The results also suggest that variation among nonexprimental estimates of program effects is similar to variation among experimental estimates for men and youth, but not for women (for whom it seems to be larger), although small sample sizes make the estimated differences somewhat imprecise for all three groups. The policy implications of the findings are discussed. © 2006 by the Association for Public Policy Analysis and Management

Suggested Citation

  • 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.
    • Handle: RePEc:wly:jpamgt:v:25:y:2006:i:3:p:523-552
    DOI: 10.1002/pam.20190
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    References listed on IDEAS

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    2. Anders Stenberg & Olle Westerlund, 2015. "The long-term earnings consequences of general vs. specific training of the unemployed," IZA Journal of European Labor Studies, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-26, December.
    3. Carla Haelermans & Lex Borghans, 2012. "Wage Effects of On-the-Job Training: A Meta-Analysis," British Journal of Industrial Relations, London School of Economics, vol. 50(3), pages 502-528, September.
    4. Oh, Sehun & DiNitto, Diana M. & Powers, Daniel A., 2020. "A longitudinal evaluation of government-sponsored job skills training and basic employment services among U.S. baby boomers with economic disadvantages," Evaluation and Program Planning, Elsevier, vol. 82(C).
    5. Katherine Baicker & Theodore Svoronos, 2019. "Testing the Validity of the Single Interrupted Time Series Design," CID Working Papers 364, Center for International Development at Harvard University.
    6. Ferraro, Paul J. & Miranda, Juan José, 2014. "The performance of non-experimental designs in the evaluation of environmental programs: A design-replication study using a large-scale randomized experiment as a benchmark," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 344-365.
    7. Fredrik Andersson & Harry J. Holzer & Julia I. Lane & David Rosenblum & Jeffrey Smith, 2024. "Does Federally Funded Job Training Work? Nonexperimental Estimates of WIA Training Impacts Using Longitudinal Data on Workers and Firms," Journal of Human Resources, University of Wisconsin Press, vol. 59(4), pages 1244-1283.
    8. Carolyn J. Heinrich, 2008. "Advancing public sector performance analysis," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 24(5), pages 373-389, September.
    9. Reynold V. Galope, 2016. "A Different Certification Effect of the Small Business Innovation Research (SBIR) Program," Economic Development Quarterly, , vol. 30(4), pages 371-383, November.
    10. Henrik Hansen & Ninja Ritter Klejnstrup & Ole Winckler Andersen, 2011. "A Comparison of Model-based and Design-based Impact Evaluations of Interventions in Developing Countries," IFRO Working Paper 2011/16, University of Copenhagen, Department of Food and Resource Economics.
    11. Gary King & Emmanuela Gakidou & Nirmala Ravishankar & Ryan T. Moore & Jason Lakin & Manett Vargas & Martha María Téllez-Rojo & Juan Eugenio Hernández Ávila & Mauricio Hernández Ávila & Héctor Hernánde, 2007. "A “politically robust” experimental design for public policy evaluation, with application to the Mexican Universal Health Insurance program," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 26(3), pages 479-506.
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    13. Katherine Baicker & Theodore Svoronos, 2019. "Testing the Validity of the Single Interrupted Time Series Design," NBER Working Papers 26080, National Bureau of Economic Research, Inc.

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