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Are Program Participants Good Evaluators?

Author

Listed:
  • Smith, Jeffrey A.

    (University of Wisconsin-Madison)

  • Whalley, Alexander

    (University of Calgary)

  • Wilcox, Nathaniel T.

    (Appalachian State University)

Abstract

How well do program participants assess program performance ex-post? In this paper we compare participant evaluations based on survey responses to econometric impact estimates obtained using data from the experimental evaluation of the U.S. Job Training Partnership Act. We have two main findings: First, the participant evaluations are unrelated to the econometric impact estimates. Second, the participant evaluations do covary with impact proxies such as service intensity, outcome levels, and before-after outcome differences. Our results suggest that program participants behave as 'lay scientists' who seek to estimate the impact of the program but face cognitive challenges in doing so.

Suggested Citation

  • Smith, Jeffrey A. & Whalley, Alexander & Wilcox, Nathaniel T., 2020. "Are Program Participants Good Evaluators?," IZA Discussion Papers 13584, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp13584
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    References listed on IDEAS

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    1. 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.
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    4. David McKenzie, 2018. "Can Business Owners Form Accurate Counterfactuals? Eliciting Treatment and Control Beliefs About Their Outcomes in the Alternative Treatment Status," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(4), pages 714-722, October.
    5. F. Thomas Juster, 1966. "Consumer Buying Intentions and Purchase Probability: An Experiment in Survey Design," NBER Books, National Bureau of Economic Research, Inc, number just66-2.
    6. James Heckman, 1997. "Instrumental Variables: A Study of Implicit Behavioral Assumptions Used in Making Program Evaluations," Journal of Human Resources, University of Wisconsin Press, vol. 32(3), pages 441-462.
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    9. repec:mpr:mprres:6097 is not listed on IDEAS
    10. James J. Heckman & Jeffrey Smith, 2000. "The Sensitivity of Experimental Impact Estimates (Evidence from the National JTPA Study)," NBER Chapters, in: Youth Employment and Joblessness in Advanced Countries, pages 331-356, National Bureau of Economic Research, Inc.
    11. James J. Heckman & Jeffrey A. Smith, 2004. "The Determinants of Participation in a Social Program: Evidence from a Prototypical Job Training Program," Journal of Labor Economics, University of Chicago Press, vol. 22(2), pages 243-298, April.
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    2. Jeffrey Smith, 2022. "Treatment Effect Heterogeneity," Evaluation Review, , vol. 46(5), pages 652-677, October.

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    More about this item

    Keywords

    program evaluation; participant evaluation; surveys;
    All these keywords.

    JEL classification:

    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

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