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School Choice and Class-Size Effects: Unintended Consequences of a Targeted Voucher Program

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  • De Groote, Olivier
  • Gazmuri, Ana

Abstract

We propose a novel method to estimate education production functions on observational data in a context of school choice. We exploit panel data of schools and estimate heteroge-neous effects, while allowing for unobserved school, student, and teacher characteristics to be correlated with observed inputs. We then use this model to study the channels behind changes in observed test scores following a voucher reform in Chile. After the reform, many students left public schools, leading to a passive decrease in class size. We show that this can explain part of the policy effects as we find large class size effects for several schools, especially those that saw a decrease after the policy change.

Suggested Citation

  • De Groote, Olivier & Gazmuri, Ana, 2024. "School Choice and Class-Size Effects: Unintended Consequences of a Targeted Voucher Program," TSE Working Papers 24-1526, Toulouse School of Economics (TSE).
  • Handle: RePEc:tse:wpaper:129301
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    References listed on IDEAS

    as
    1. Juan A. Correa & Francisco Parro & Loreto Reyes, 2014. "The Effects of Vouchers on School Results: Evidence from Chile's Targeted Voucher Program," Journal of Human Capital, University of Chicago Press, vol. 8(4), pages 351-398.
    2. Stéphane Bonhomme & Elena Manresa, 2015. "Grouped Patterns of Heterogeneity in Panel Data," Econometrica, Econometric Society, vol. 83(3), pages 1147-1184, May.
    3. Miguel Urquiola & Eric Verhoogen, 2009. "Class-Size Caps, Sorting, and the Regression-Discontinuity Design," American Economic Review, American Economic Association, vol. 99(1), pages 179-215, March.
    4. Tahir Andrabi & Jishnu Das & Asim Ijaz Khwaja & Tristan Zajonc, 2011. "Do Value-Added Estimates Add Value? Accounting for Learning Dynamics," American Economic Journal: Applied Economics, American Economic Association, vol. 3(3), pages 29-54, July.
    5. Richard Blundell & Stephen Bond, 2000. "GMM Estimation with persistent panel data: an application to production functions," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 321-340.
    6. Daniel A. Ackerberg & Kevin Caves & Garth Frazer, 2015. "Identification Properties of Recent Production Function Estimators," Econometrica, Econometric Society, vol. 83, pages 2411-2451, November.
    7. Navarro-Palau, Patricia, 2017. "Effects of differentiated school vouchers: Evidence from a policy change and date of birth cutoffs," Economics of Education Review, Elsevier, vol. 58(C), pages 86-107.
    8. Dante Contreras & Paulina Sepúlveda & Sebastián Bustos, 2010. "When Schools Are the Ones that Choose: The Effects of Screening in Chile," Social Science Quarterly, Southwestern Social Science Association, vol. 91(s1), pages 1349-1368.
    9. Dante Contreras & Paulina Sepúlveda & Sebastián Bustos, 2010. "When Schools Are the Ones that Choose: The Effects of Screening in Chile," Social Science Quarterly, Southwestern Social Science Association, vol. 91(5), pages 1349-1368, December.
    10. Ding, Weili & Lehrer, Steven F., 2014. "Understanding the role of time-varying unobserved ability heterogeneity in education production," Economics of Education Review, Elsevier, vol. 40(C), pages 55-75.
    11. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
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