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Labor Market Returns to the GED Using Regression Discontinuity Analysis

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Listed:
  • Christopher Jepsen
  • Peter Mueser
  • Kenneth Troske

Abstract

We evaluate returns to General Educational Development (GED) certification for high school dropouts using state administrative data. We apply a fuzzy regression discontinuity method to account for test takers retaking the test. For women we find that GED certification has no statistically significant effect on either employment or earnings. For men we find a significant increase in earnings in the second year after taking the test but no impact in subsequent years. GED certification increases postsecondary school enrollment by 4-8 percentage points. Our results differ from regression discontinuity approaches that fail to account for test retaking.

Suggested Citation

  • Christopher Jepsen & Peter Mueser & Kenneth Troske, 2016. "Labor Market Returns to the GED Using Regression Discontinuity Analysis," Journal of Political Economy, University of Chicago Press, vol. 124(3), pages 621-649.
  • Handle: RePEc:ucp:jpolec:doi:10.1086/686245
    DOI: 10.1086/686245
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    1. 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.
    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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    8. 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.
    9. 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.
    10. repec:ucn:wpaper:10197/6648 is not listed on IDEAS
    11. 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.
    12. Lee, David S. & Card, David, 2008. "Regression discontinuity inference with specification error," Journal of Econometrics, Elsevier, vol. 142(2), pages 655-674, February.
    13. Hahn, Jinyong & Todd, Petra & Van der Klaauw, Wilbert, 2001. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design," Econometrica, Econometric Society, vol. 69(1), pages 201-209, January.
    14. 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.
    15. Jian Cao & Ernst W. Stromsdorfer & Gregory Weeks, 1996. "The Human Capital Effect of General Education Development Certificates on Low Income Women," Journal of Human Resources, University of Wisconsin Press, vol. 31(1), pages 206-228.
    16. Paco Martorell & Isaac McFarlin, 2011. "Help or Hindrance? The Effects of College Remediation on Academic and Labor Market Outcomes," The Review of Economics and Statistics, MIT Press, vol. 93(2), pages 436-454, May.
    17. 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.
    18. 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.
    19. Richard J. Murnane & John B. Willett & Kathryn Parker Boudett, 1999. "Do Male Dropouts Benefit from Obtaining a GED, Postsecondary Education, and Training?," Evaluation Review, , vol. 23(5), pages 475-503, October.
    20. 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.
    21. 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.
    22. 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.
    23. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
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    More about this item

    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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