IDEAS home Printed from https://ideas.repec.org/p/ucn/oapubs/10197-6648.html
   My bibliography  Save this paper

Second Chance for High-School Dropouts? A Regression Discontinuity Analysis of Postsecondary Educational Returns to General Educational Development Certification

Author

Listed:
  • Christopher Jepsen
  • Peter Mueser
  • Kenneth Troske

Abstract

In this paper, we evaluate the educational returns to General Educational Development (GED) certification using state administrative data. We use fuzzy regression discontinuity (FRD) methods to account for the fact that GED test takers can repeatedly retake the test until they pass it and the fact that test takers have to pass each of five subtests before receiving the GED. We generally find positive effects of the GED on multiple measures of postsecondary education. Although the GED increases the likelihood of postsecondary attendance substantially, the GED impact on overall credits completed is much more modest: The GED causes an average increment of only two credits for men and six credits for women. The effects of the GED on postsecondary awards are inconclusive, likely related to the small percentage of awards received by GED test takers.

Suggested Citation

  • 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.
  • Handle: RePEc:ucn:oapubs:10197/6648
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10197/6648
    File Function: First version, 2015
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    6. Tyler, John & Lofstrom, Magnus, 2010. "Is the GED an effective route to postsecondary education for school dropouts?," Economics of Education Review, Elsevier, vol. 29(5), pages 813-825, October.
    7. Lee, David S. & Card, David, 2008. "Regression discontinuity inference with specification error," Journal of Econometrics, Elsevier, vol. 142(2), pages 655-674, February.
    8. 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.
    9. 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, Febrero.
    10. 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.
    11. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Christopher Jepsen & Peter Mueser & Kenneth Troske, 2017. "Second Chance for High School Dropouts? A Regression Discontinuity Analysis of Postsecondary Educational Returns to the GED," Journal of Labor Economics, University of Chicago Press, vol. 35(S1), pages 273-304.
    2. repec:ucn:wpaper:10197/6648 is not listed on IDEAS
    3. 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.
    4. Cory Koedel & Jiaxi Li & Matthew G. Springer & Li Tan, 2016. "The Impact of Performance Ratings on Job Satisfaction for Public School Teachers," Working Papers 1617, Department of Economics, University of Missouri.
    5. Heckman, James J. & Humphries, John Eric & Mader, Nicholas S., 2011. "The GED," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 3, chapter 9, pages 423-483, Elsevier.
      • Heckman, James J. & Humphries, John Eric & Mader, Nicholas S., 2010. "The GED," IZA Discussion Papers 4975, Institute of Labor Economics (IZA).
      • James J. Heckman & John Eric Humphries & Nicholas S. Mader, 2010. "The GED," NBER Working Papers 16064, National Bureau of Economic Research, Inc.
    6. Jason M. Lindo & Nicholas J. Sanders & Philip Oreopoulos, 2010. "Ability, Gender, and Performance Standards: Evidence from Academic Probation," American Economic Journal: Applied Economics, American Economic Association, vol. 2(2), pages 95-117, April.
    7. Cory Koedel & Jiaxi Li & Matthew G. Springer & Li Tan, 2018. "Teacher Performance Ratings and Professional Improvement," Working Papers 1808, Department of Economics, University of Missouri.
    8. Juan Carlos Calcagno & Bridget Terry Long, 2008. "The Impact of Postsecondary Remediation Using a Regression Discontinuity Approach: Addressing Endogenous Sorting and Noncompliance," NBER Working Papers 14194, National Bureau of Economic Research, Inc.
    9. Chad D. Meyerhoefer & Muzhe Yang, 2011. "The Relationship between Food Assistance and Health: A Review of the Literature and Empirical Strategies for Identifying Program Effects," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 33(3), pages 304-344.
    10. Yu-Chin Hsu & Chung-Ming Kuan & Giorgio Teng-Yu Lo, 2017. "Quantile Treatment Effects in Regression Discontinuity Designs with Covariates," IEAS Working Paper : academic research 17-A009, Institute of Economics, Academia Sinica, Taipei, Taiwan.
    11. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    12. Feng, Andy & Graetz, Georg, 2017. "A question of degree: The effects of degree class on labor market outcomes," Economics of Education Review, Elsevier, vol. 61(C), pages 140-161.
    13. Andrew McEachin & Thurston Domina & Andrew Penner, 2020. "Heterogeneous Effects of Early Algebra across California Middle Schools," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(3), pages 772-800, June.
    14. Montoya, Ana Maria & Noton, Carlos & Solis, Alex, 2018. "The Returns to College Choice: Loans, Scholarships and Labor Outcomes," Working Paper Series 2018:12, Uppsala University, Department of Economics.
    15. Mazzutti, Caio Cícero Toledo Piza da Costa, 2016. "Three essays on the causal impacts of child labour laws in Brazil," Economics PhD Theses 0616, Department of Economics, University of Sussex Business School.
    16. Jin-young Choi & Myoung-jae Lee, 2017. "Regression discontinuity: review with extensions," Statistical Papers, Springer, vol. 58(4), pages 1217-1246, December.
    17. Benjamin Hansen, 2015. "Punishment and Deterrence: Evidence from Drunk Driving," American Economic Review, American Economic Association, vol. 105(4), pages 1581-1617, April.
    18. Bargain, Olivier & Doorley, Karina, 2009. "Caught in the Trap? The Disincentive Effect of Social Assistance," IRISS Working Paper Series 2009-10, IRISS at CEPS/INSTEAD.
    19. Bartalotti Otávio, 2019. "Regression Discontinuity and Heteroskedasticity Robust Standard Errors: Evidence from a Fixed-Bandwidth Approximation," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-26, January.
    20. Timo Hener & Tanya Wilson, 2018. "Marital Age Gaps and Educational Homogamy – Evidence from a Compulsory Schooling Reform in the UK," ifo Working Paper Series 256, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    21. Martins, Theo Cotrim & Novaes, Walter, 2012. "Mandatory dividend rules: Do they make it harder for firms to invest?," Journal of Corporate Finance, Elsevier, vol. 18(4), pages 953-967.

    More about this item

    Keywords

    General educational development (GED) tests; Postsecondary education;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ucn:oapubs:10197/6648. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/educdie.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Nicolas Clifton (email available below). General contact details of provider: https://edirc.repec.org/data/educdie.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.