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Learning About Opportunity: Spillovers of Elite School Admissions in Peru

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  • Estrada, Ricardo
  • Gignoux, Jérémie
  • Hatrick, Agustina

Abstract

This paper studies how the admission of a student to an elite school changes the schooling outcomes of younger cohorts in the student’s origin school in Peru. Using a sharp regression discontinuity design, the analysis finds that the admission of an older schoolmate increases the probability that students in origin schools will apply and gain admission to the same elite school system. The effect is concentrated among students whose parents have low education levels, which indicates a process of information diffusion. Furthermore, there is a slightly positive effect on the learning achievement of potential applicants and no negative effect on the learning of students who are ineligible to apply. Overall, the findings show that selective schools can have effects that go beyond their own students and indicate that role models can be an effective mechanism for increasing the demand from high-achieving, low-income students for high-quality education.

Suggested Citation

  • Estrada, Ricardo & Gignoux, Jérémie & Hatrick, Agustina, 2021. "Learning About Opportunity: Spillovers of Elite School Admissions in Peru," Research Department working papers 1708, CAF Development Bank Of Latinamerica.
  • Handle: RePEc:dbl:dblwop:1708
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    1. Sandra E. Black, 1999. "Do Better Schools Matter? Parental Valuation of Elementary Education," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 577-599.
    2. Teodora Boneva & Christopher Rauh, 2017. "Socio-Economic Gaps in University Enrollment: The Role of Perceived Pecuniary and Non-Pecuniary Returns," Working Papers 2017-080, Human Capital and Economic Opportunity Working Group.
    3. Arcidiacono, Peter & Nicholson, Sean, 2005. "Peer effects in medical school," Journal of Public Economics, Elsevier, vol. 89(2-3), pages 327-350, February.
    4. Atila Abdulkadiroğlu & Joshua Angrist & Parag Pathak, 2014. "The Elite Illusion: Achievement Effects at Boston and New York Exam Schools," Econometrica, Econometric Society, vol. 82(1), pages 137-196, January.
    5. Andrés Barrios-Fernández, 2022. "Neighbors' Effects on University Enrollment," American Economic Journal: Applied Economics, American Economic Association, vol. 14(3), pages 30-60, July.
    6. Dustan, Andrew, 2018. "Family networks and school choice," Journal of Development Economics, Elsevier, vol. 134(C), pages 372-391.
    7. Patrick Bayer & Fernando Ferreira & Robert McMillan, 2007. "A Unified Framework for Measuring Preferences for Schools and Neighborhoods," Journal of Political Economy, University of Chicago Press, vol. 115(4), pages 588-638, August.
    8. Chumacero, Rómulo A. & Gómez, Daniel & Paredes, Ricardo D., 2011. "I would walk 500 miles (if it paid): Vouchers and school choice in Chile," Economics of Education Review, Elsevier, vol. 30(5), pages 1103-1114, October.
    9. Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2018. "Manipulation testing based on density discontinuity," Stata Journal, StataCorp LP, vol. 18(1), pages 234-261, March.
    10. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    11. Sebastian Calonico & Matias D. Cattaneo & Rocío Titiunik, 2015. "Optimal Data-Driven Regression Discontinuity Plots," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(512), pages 1753-1769, December.
    12. Justine S. Hastings & Jeffrey M. Weinstein, 2008. "Information, School Choice, and Academic Achievement: Evidence from Two Experiments," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 123(4), pages 1373-1414.
    13. Joshua Angrist & Victor Lavy, 2009. "The Effects of High Stakes High School Achievement Awards: Evidence from a Randomized Trial," American Economic Review, American Economic Association, vol. 99(4), pages 1384-1414, September.
    14. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell & Roc ́ıo Titiunik, 2017. "rdrobust: Software for regression-discontinuity designs," Stata Journal, StataCorp LP, vol. 17(2), pages 372-404, June.
    15. Cristian Pop-Eleches & Miguel Urquiola, 2013. "Going to a Better School: Effects and Behavioral Responses," American Economic Review, American Economic Association, vol. 103(4), pages 1289-1324, June.
    16. Chris Belfield & Teodora Boneva & Christopher Rauh & Jonathan Shaw, 2020. "What Drives Enrolment Gaps in Further Education? The Role of Beliefs in Sequential Schooling Decisions," Economica, London School of Economics and Political Science, vol. 87(346), pages 490-529, April.
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    Cited by:

    1. Estrada, Ricardo, 2022. "The effect of the demand for elite schools on stratification," Economics Letters, Elsevier, vol. 215(C).

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    Keywords

    Educación; Estudiantes; Familia; Habilidades y destrezas; Investigación socioeconómica; Jóvenes; Políticas públicas; Sector académico;
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