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Measuring the incentives to learn in Colombia using new quantile regression approaches

  • Lamarche, Carlos

This paper employs newly developed quantile regression techniques to investigate a policy that could differentially affect students' performance. The Colombian vouchers were assigned using lotteries, and were renewable as long as the students maintained satisfactory academic progress. This second aspect of the program may provide incentives for low attainment students to work harder. The evidence supports the hypothesis that incentives could account for the impact of the vouchers, including lower repetition rate. The effect of the vouchers is largest in the lower tail of the educational attainment distribution, a possibility that was conjectured by others, but has not yet been confirmed empirically. The evidence suggests that the incentive effect of the program increases weak students' test scores by at least 0.1 standard deviations, roughly the score gain associated to a half year of school learning.

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Article provided by Elsevier in its journal Journal of Development Economics.

Volume (Year): 96 (2011)
Issue (Month): 2 (November)
Pages: 278-288

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Handle: RePEc:eee:deveco:v:96:y:2011:i:2:p:278-288
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  1. 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.
  2. Roger Koenker & Zhijie Xiao, 2002. "Inference on the Quantile Regression Process," Econometrica, Econometric Society, vol. 70(4), pages 1583-1612, July.
  3. James J. Heckman & Jeffrey Smith & Nancy Clements, 1997. "Making The Most Out Of Programme Evaluations and Social Experiments: Accounting For Heterogeneity in Programme Impacts," Review of Economic Studies, Oxford University Press, vol. 64(4), pages 487-535.
  4. Lamarche, Carlos, 2010. "Robust penalized quantile regression estimation for panel data," Journal of Econometrics, Elsevier, vol. 157(2), pages 396-408, August.
  5. Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2007. "Quantile And Probability Curves Without Crossing," Boston University - Department of Economics - Working Papers Series WP2007-011, Boston University - Department of Economics.
  6. Joshua Angrist & Eric Bettinger & Michael Kremer, 2006. "Long-Term Educational Consequences of Secondary School Vouchers: Evidence from Administrative Records in Colombia," American Economic Review, American Economic Association, vol. 96(3), pages 847-862, June.
  7. Roland Bénabou & Jean Tirole, 2003. "Intrinsic and Extrinsic Motivation," Review of Economic Studies, Oxford University Press, vol. 70(3), pages 489-520.
  8. Bas van der Klaauw & Edwin Leuven & Hessel Oosterbeek, 2006. "The effect of financial rewards on students' achievement: Evidence from a randomized experiment," Artefactual Field Experiments 00078, The Field Experiments Website.
  9. Figlio, David N. & Rouse, Cecilia Elena, 2006. "Do accountability and voucher threats improve low-performing schools?," Journal of Public Economics, Elsevier, vol. 90(1-2), pages 239-255, January.
  10. McMillan, Robert, 2004. "Competition, incentives, and public school productivity," Journal of Public Economics, Elsevier, vol. 88(9-10), pages 1871-1892, August.
  11. Chernozhukov, Victor & Hansen, Christian, 2006. "Instrumental quantile regression inference for structural and treatment effect models," Journal of Econometrics, Elsevier, vol. 132(2), pages 491-525, June.
  12. Thomas J. Nechyba, 2003. "Introducing School Choice into Multidistrict Public School Systems," NBER Chapters, in: The Economics of School Choice, pages 145-194 National Bureau of Economic Research, Inc.
  13. Joseph G. Altonji, 1992. "The Effects of High School Curriculum on Education and Labor Market Outcomes," NBER Working Papers 4142, National Bureau of Economic Research, Inc.
  14. Rajashri Chakrabarti, 2007. "Can increasing private school participation and monetary loss in a voucher program affect public school performance? Evidence from Milwaukee," Staff Reports 300, Federal Reserve Bank of New York.
  15. King , Elizabeth M. & Behrman, Jere R., 2008. "Timing and duration of exposure in evaluations of social programs," Policy Research Working Paper Series 4686, The World Bank.
  16. Chernozhukov, Victor & Hansen, Christian, 2008. "Instrumental variable quantile regression: A robust inference approach," Journal of Econometrics, Elsevier, vol. 142(1), pages 379-398, January.
  17. Joel L. Horowitz, 1996. "Bootstrap Methods for Median Regression Models," Econometrics 9608004, EconWPA.
  18. Justine S. Hastings & Thomas J. Kane & Douglas O. Staiger, 2006. "Preferences and Heterogeneous Treatment Effects in a Public School Choice Lottery," NBER Working Papers 12145, National Bureau of Economic Research, Inc.
  19. David Brownstone & Robert Valletta, 2001. "The Bootstrap and Multiple Imputations: Harnessing Increased Computing Power for Improved Statistical Tests," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 129-141, Fall.
  20. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
  21. Hahn, Jinyong, 1995. "Bootstrapping Quantile Regression Estimators," Econometric Theory, Cambridge University Press, vol. 11(01), pages 105-121, February.
  22. Joshua Angrist & Daniel Lang & Philip Oreopoulos, 2006. "Lead Them to Water and Pay Them to Drink: An Experiment with Services and Incentives for College Achievement," NBER Working Papers 12790, National Bureau of Economic Research, Inc.
  23. Christopher Cornwell & David B. Mustard & Deepa J. Sridhar, 2006. "The Enrollment Effects of Merit-Based Financial Aid: Evidence from Georgia's HOPE Program," Journal of Labor Economics, University of Chicago Press, vol. 24(4), pages 761-786, October.
  24. Eric Bettinger & Michael Kremer & Juan E. Saavedra, 2010. "Are Educational Vouchers Only Redistributive?," Economic Journal, Royal Economic Society, vol. 120(546), pages F204-F228, 08.
  25. Victor Chernozhukov & Christian Hansen, 2005. "An IV Model of Quantile Treatment Effects," Econometrica, Econometric Society, vol. 73(1), pages 245-261, 01.
  26. Cecilia Elena Rouse, 1998. "Private School Vouchers and Student Achievement: An Evaluation of the Milwaukee Parental Choice Program," The Quarterly Journal of Economics, Oxford University Press, vol. 113(2), pages 553-602.
  27. Koenker, Roger, 2004. "Quantile regression for longitudinal data," Journal of Multivariate Analysis, Elsevier, vol. 91(1), pages 74-89, October.
  28. Thomas J. Kane & Stephanie K. Riegg & Douglas O. Staiger, 2006. "School Quality, Neighborhoods, and Housing Prices," American Law and Economics Review, Oxford University Press, vol. 8(2), pages 183-212.
  29. Thomas J. Kane & Douglas O. Staiger, 2002. "The Promise and Pitfalls of Using Imprecise School Accountability Measures," Journal of Economic Perspectives, American Economic Association, vol. 16(4), pages 91-114, Fall.
  30. Buchinsky, Moshe, 1995. "Estimating the asymptotic covariance matrix for quantile regression models a Monte Carlo study," Journal of Econometrics, Elsevier, vol. 68(2), pages 303-338, August.
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