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The Effect of High School Matriculation Awards: Evidence from Randomized Trials

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  • Joshua D. Angrist
  • Victor Lavy

Abstract

In Israel, as in many other countries, a high school matriculation certificate is required by universities and some jobs. In spite of the certificate's value, Israeli society is marked by vast differences in matriculation rates by region and socioeconomic status. We attempted to increase the likelihood of matriculation among low-achieving students by offering substantial cash incentives in two demonstration programs. As a theoretical matter, cash incentives may be helpful if low-achieving students reduce investment in schooling because of high discount rates, part-time work, or face peer pressure not to study. A small pilot program selected individual students within schools for treatment, with treatment status determined by previous test scores and a partially randomized cutoff for low socioeconomic status. In a larger follow-up program, entire schools were randomly selected for treatment and the program operated with the cooperation of principals and teachers. The results suggest the Achievement Awards program that randomized treatment at the school level raised matriculation rates, while the student-based program did not.

Suggested Citation

  • Joshua D. Angrist & Victor Lavy, 2002. "The Effect of High School Matriculation Awards: Evidence from Randomized Trials," NBER Working Papers 9389, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:9389
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    1. Keane, Michael P & Wolpin, Kenneth I, 2000. "Eliminating Race Differences in School Attainment and Labor Market Success," Journal of Labor Economics, University of Chicago Press, vol. 18(4), pages 614-652, October.
    2. Winship C. Fuller & Charles F. Manski & David A. Wise, 1982. "New Evidence on the Economic Determinants of Postsecondary Schooling Choices," Journal of Human Resources, University of Wisconsin Press, vol. 17(4), pages 477-498.
    3. Esther Duflo & Emmanuel Saez, 2003. "The Role of Information and Social Interactions in Retirement Plan Decisions: Evidence from a Randomized Experiment," The Quarterly Journal of Economics, Oxford University Press, vol. 118(3), pages 815-842.
    4. Stephen G. Donald & Kevin Lang, 2007. "Inference with Difference-in-Differences and Other Panel Data," The Review of Economics and Statistics, MIT Press, vol. 89(2), pages 221-233, May.
    5. 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.
    6. Augurzky, Boris & Schmidt, Christoph M., 2001. "The Evaluation of Community-Based Interventions: A Monte Carlo Study," IZA Discussion Papers 270, Institute of Labor Economics (IZA).
    7. Joshua Angrist & Eric Bettinger & Erik Bloom & Elizabeth King & Michael Kremer, 2002. "Vouchers for Private Schooling in Colombia: Evidence from a Randomized Natural Experiment," American Economic Review, American Economic Association, vol. 92(5), pages 1535-1558, December.
    8. Moulton, Brent R., 1986. "Random group effects and the precision of regression estimates," Journal of Econometrics, Elsevier, vol. 32(3), pages 385-397, August.
    9. Joshua D. Angrist & Jinyong Hahn, 1999. "When to Control for Covariates? Panel-Asymptotic Results for Estimates of Treatment Effects," NBER Technical Working Papers 0241, National Bureau of Economic Research, Inc.
    10. Chesher, Andrew & Jewitt, Ian, 1987. "The Bias of a Heteroskedasticity Consistent Covariance Matrix Estimator," Econometrica, Econometric Society, vol. 55(5), pages 1217-1222, September.
    11. repec:mpr:mprres:1895 is not listed on IDEAS
    12. MacKinnon, James G. & White, Halbert, 1985. "Some heteroskedasticity-consistent covariance matrix estimators with improved finite sample properties," Journal of Econometrics, Elsevier, vol. 29(3), pages 305-325, September.
    13. Thomas J. Kane & Douglas O. Staiger, 2001. "Improving School Accountability Measures," NBER Working Papers 8156, National Bureau of Economic Research, Inc.
    14. Paul Schultz, T., 2004. "School subsidies for the poor: evaluating the Mexican Progresa poverty program," Journal of Development Economics, Elsevier, vol. 74(1), pages 199-250, June.
    15. Jonathan Gruber, 2001. "Risky Behavior among Youths: An Economic Analysis," NBER Books, National Bureau of Economic Research, Inc, number grub01-1, March.
    16. Zvi Eckstein & Kenneth I. Wolpin, 1999. "Why Youths Drop Out of High School: The Impact of Preferences, Opportunities, and Abilities," Econometrica, Econometric Society, vol. 67(6), pages 1295-1340, November.
    17. Joshua D. Angrist & Victor Lavy, 1999. "Using Maimonides' Rule to Estimate the Effect of Class Size on Scholastic Achievement," The Quarterly Journal of Economics, Oxford University Press, vol. 114(2), pages 533-575.
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    More about this item

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy

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