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Private beats public: A flexible value-added model with Tanzanian school switchers

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  • Kasper Brandt

Abstract

This paper estimates a private school learning premium in Tanzania by implementing a flexible value-added model with unique administrative data on exam scores. The dataset covers 635,000 secondary school students with information on both their primary and lower secondary school exam records, allowing three out of four assumptions imposed in standard value-added models to be relaxed. The preferred coefficient estimate suggests private secondary schools, on average, increase student exam scores at national exams by 0.45 standard deviations after two years of secondary schooling.

Suggested Citation

  • Kasper Brandt, 2018. "Private beats public: A flexible value-added model with Tanzanian school switchers," WIDER Working Paper Series wp-2018-81, World Institute for Development Economic Research (UNU-WIDER).
  • Handle: RePEc:unu:wpaper:wp-2018-81
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    References listed on IDEAS

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    1. Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), 2011. "Handbook of the Economics of Education," Handbook of the Economics of Education, Elsevier, edition 1, volume 4, number 4, June.
    2. 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.
    3. 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.
    4. Thomas J. Kane & Douglas O. Staiger, 2008. "Estimating Teacher Impacts on Student Achievement: An Experimental Evaluation," NBER Working Papers 14607, National Bureau of Economic Research, Inc.
    5. Harold Alderman & Peter F. Orazem & Elizabeth M. Paterno, 2001. "School Quality, School Cost, and the Public/Private School Choices of Low-Income Households in Pakistan," Journal of Human Resources, University of Wisconsin Press, vol. 36(2), pages 304-326.
    6. Daniel Aaronson & Lisa Barrow & William Sander, 2007. "Teachers and Student Achievement in the Chicago Public High Schools," Journal of Labor Economics, University of Chicago Press, vol. 25(1), pages 95-135.
    7. Raj Chetty & John N. Friedman & Jonah E. Rockoff, 2014. "Measuring the Impacts of Teachers I: Evaluating Bias in Teacher Value-Added Estimates," American Economic Review, American Economic Association, vol. 104(9), pages 2593-2632, September.
    8. Sylvie Moulin & Michael Kremer & Paul Glewwe, 2009. "Many Children Left Behind? Textbooks and Test Scores in Kenya," American Economic Journal: Applied Economics, American Economic Association, vol. 1(1), pages 112-135, January.
    9. 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.
    10. Jimenez, Emmanuel & Lockheed, Marlaine E & Paqueo, Vicente, 1991. "The Relative Efficiency of Private and Public Schools in Developing Countries," The World Bank Research Observer, World Bank, vol. 6(2), pages 205-218, July.
    11. Koedel, Cory & Mihaly, Kata & Rockoff, Jonah E., 2015. "Value-added modeling: A review," Economics of Education Review, Elsevier, vol. 47(C), pages 180-195.
    12. Gérard Lassibille & Jee-Peng Tan & Sumra Suleman, 2000. "Expansion of private secondary education : lessons from recent experience in Tanzania," Post-Print halshs-01267358, HAL.
    13. Singh, Abhijeet, 2015. "Private school effects in urban and rural India: Panel estimates at primary and secondary school ages," Journal of Development Economics, Elsevier, vol. 113(C), pages 16-32.
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