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Labor-Market Returns to the GED Using Regression Discontinuity Analysis

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Abstract

In this paper, we evaluate the labor-market returns to General Educational Development (GED) certification using Missouri administrative data. We develop a fuzzy regression discontinuity (FRD) method to account for the fact that GED test takers can repeatedly retake the test until they pass it. Our technique can be applied to other situations where program participation is determined by a score on a “retake-able” test. Previous regression discontinuity estimates of the returns to GED certification have not accounted for retaking behavior, so these estimates may be biased. We find that the effect of GED certification on either employment or earnings is not statistically significant. GED certification increases postsecondary participation by up to four percentage points for men and up to eight percentage points for women.

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  • Peter R. Mueser & Christopher Jepsen & Kenneth Troske, 2010. "Labor-Market Returns to the GED Using Regression Discontinuity Analysis," Working Papers 1014, Department of Economics, University of Missouri.
    • Handle: RePEc:umc:wpaper:1014
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    1. Christopher Jepsen & Peter Mueser & Kenneth Troske, 2015. "Second Chance for High-School Dropouts? A Regression Discontinuity Analysis of Postsecondary Educational Returns to General Educational Development Certification," Open Access publications 10197/6648, School of Economics, University College Dublin.
    2. Richard J. Murnane & John B. Willett & John H. Tyler, 2000. "Who Benefits from Obtaining a GED? Evidence from High School and Beyond," The Review of Economics and Statistics, MIT Press, vol. 82(1), pages 23-37, February.
    3. Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), 2011. "Handbook of the Economics of Education," Handbook of the Economics of Education, Elsevier, edition 1, volume 4, number 4, June.
    4. James J. Heckman & John Eric Humphries & Paul A. LaFontaine & Pedro L. Rodríguez, 2012. "Taking the Easy Way Out: How the GED Testing Program Induces Students to Drop Out," Journal of Labor Economics, University of Chicago Press, vol. 30(3), pages 495-520.
    5. John H. Tyler & Richard J. Murnane & John B. Willett, 2000. "Estimating the Labor Market Signaling Value of the GED," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(2), pages 431-468.
    6. John H. Tyler & Richard J. Murnane & John B. Willett, 2000. "Do the Cognitive Skills of School Dropouts Matter in the Labor Market?," Journal of Human Resources, University of Wisconsin Press, vol. 35(4), pages 748-754.
    7. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
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    9. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
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    12. James J. Heckman & Paul A. LaFontaine, 2006. "Bias-Corrected Estimates of GED Returns," Journal of Labor Economics, University of Chicago Press, vol. 24(3), pages 661-700, July.
    13. David C. Wyld, 2010. "ASecond Lifefor organizations?: managing in the new, virtual world," Management Research Review, Emerald Group Publishing Limited, vol. 33(6), pages 529-562, May.
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    15. Papay, John P. & Willett, John B. & Murnane, Richard J., 2011. "Extending the regression-discontinuity approach to multiple assignment variables," Journal of Econometrics, Elsevier, vol. 161(2), pages 203-207, April.
    16. Magnus Lofstrom & John Tyler, 2008. "Modeling the signaling value of the GED with an application to an exogenous passing standard increase in Texas," Research in Labor Economics, in: Work, Earnings and Other Aspects of the Employment Relation, pages 305-352, Emerald Group Publishing Limited.
    17. Stephanie Riegg Cellini & Fernando Ferreira & Jesse Rothstein, 2010. "The Value of School Facility Investments: Evidence from a Dynamic Regression Discontinuity Design," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(1), pages 215-261.
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    20. Cameron, Stephen V & Heckman, James J, 1993. "The Nonequivalence of High School Equivalents," Journal of Labor Economics, University of Chicago Press, vol. 11(1), pages 1-47, January.
    21. Tyler, John H. & Murnane, Richard J. & Willett, John B., 2003. "Who benefits from a GED? Evidence for females from High School and Beyond," Economics of Education Review, Elsevier, vol. 22(3), pages 237-247, June.
    22. Heckman, James J. & Humphries, John Eric & Kautz, Tim (ed.), 2014. "The Myth of Achievement Tests," University of Chicago Press Economics Books, University of Chicago Press, number 9780226100098, September.
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    More about this item

    Keywords

    Regression discontinuity; Program evaluation; GED;
    All these keywords.

    JEL classification:

    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • H43 - Public Economics - - Publicly Provided Goods - - - Project Evaluation; Social Discount Rate
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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