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Is it good to be LATE? The impact of a preparatory program on upper secondary schooling

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  • Arendt, Jacob Nielsen
  • Greve, Jane
  • Bergqvist, Mikkel

Abstract

The present study estimates the effect of a one-year preparatory program on the likelihood of completing upper secondary school in Denmark. We identify the effect using discontinuations of the program and add to the literature on multiple unordered treatments by suggesting approximations of the effect against a specific option (here 9th grade). Discontinuation significantly increases enrollment in and completion of high school education for students at the affected margins, which under LATE assumptions translates into a negative effect of the preparatory program. There is no effect on enrollment in and completion of a vocational education. Robustness and placebo analyses suggest that results cannot be explained by violations of LATE assumptions.

Suggested Citation

  • Arendt, Jacob Nielsen & Greve, Jane & Bergqvist, Mikkel, 2019. "Is it good to be LATE? The impact of a preparatory program on upper secondary schooling," Economics of Education Review, Elsevier, vol. 68(C), pages 38-52.
  • Handle: RePEc:eee:ecoedu:v:68:y:2019:i:c:p:38-52
    DOI: 10.1016/j.econedurev.2018.11.001
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    1. Sacerdote, Bruce, 2011. "Peer Effects in Education: How Might They Work, How Big Are They and How Much Do We Know Thus Far?," 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 4, pages 249-277, Elsevier.
    2. James J. Heckman & Vytlacil, Edward J., 2007. "Econometric Evaluation of Social Programs, Part II: Using the Marginal Treatment Effect to Organize Alternative Econometric Estimators to Evaluate Social Programs, and to Forecast their Effects in New," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 71, Elsevier.
    3. Lars J. Kirkeboen & Edwin Leuven & Magne Mogstad, 2016. "Editor's Choice Field of Study, Earnings, and Self-Selection," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(3), pages 1057-1111.
    4. Jan Feld & Ulf Zölitz, 2017. "Understanding Peer Effects: On the Nature, Estimation, and Channels of Peer Effects," Journal of Labor Economics, University of Chicago Press, vol. 35(2), pages 387-428.
    5. Angrist, Joshua D, 2001. "Estimations of Limited Dependent Variable Models with Dummy Endogenous Regressors: Simple Strategies for Empirical Practice," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(1), pages 2-16, January.
    6. Heckman, James J. & Urzúa, Sergio, 2010. "Comparing IV with structural models: What simple IV can and cannot identify," Journal of Econometrics, Elsevier, vol. 156(1), pages 27-37, May.
    7. Victor Lavy & Analia Schlosser, 2005. "Targeted Remedial Education for Underperforming Teenagers: Costs and Benefits," Journal of Labor Economics, University of Chicago Press, vol. 23(4), pages 839-874, October.
    8. Keslair, Francois & Maurin, Eric & McNally, Sandra, 2012. "Every child matters? An evaluation of “Special Educational Needs” programmes in England," Economics of Education Review, Elsevier, vol. 31(6), pages 932-948.
    9. Chiburis, Richard C. & Das, Jishnu & Lokshin, Michael, 2012. "A practical comparison of the bivariate probit and linear IV estimators," Economics Letters, Elsevier, vol. 117(3), pages 762-766.
    10. Gabriella Conti & James Heckman & Sergio Urzua, 2010. "The Education-Health Gradient," American Economic Review, American Economic Association, vol. 100(2), pages 234-238, May.
    11. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    12. 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, November.
    13. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    14. Clément de Chaisemartin, 2017. "Tolerating defiance? Local average treatment effects without monotonicity," Quantitative Economics, Econometric Society, vol. 8(2), pages 367-396, July.
    15. David H. Autor, 2003. "Outsourcing at Will: The Contribution of Unjust Dismissal Doctrine to the Growth of Employment Outsourcing," Journal of Labor Economics, University of Chicago Press, vol. 21(1), pages 1-42, January.
    16. Angrist, Joshua D., 2014. "The perils of peer effects," Labour Economics, Elsevier, vol. 30(C), pages 98-108.
    17. Clément de Chaisemartin & Xavier d'Haultfoeuille, 2012. "Late Again with Defiers," PSE Working Papers halshs-00699646, HAL.
    18. Núria Rodríguez-Planas, 2012. "Longer-Term Impacts of Mentoring, Educational Services, and Learning Incentives: Evidence from a Randomized Trial in the United States," American Economic Journal: Applied Economics, American Economic Association, vol. 4(4), pages 121-139, October.
    19. Angrist, Joshua D, 2001. "Estimations of Limited Dependent Variable Models with Dummy Endogenous Regressors: Simple Strategies for Empirical Practice: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(1), pages 27-28, January.
    20. Freedman, David A. & Sekhon, Jasjeet S., 2010. "Endogeneity in Probit Response Models," Political Analysis, Cambridge University Press, vol. 18(2), pages 138-150, April.
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