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Gender Peer Effects in School, a Birth Cohort Approach

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  • Antonio Chiccone
  • Walter Garcia-Fontes

Abstract

We propose estimating gender peer effects in school by exploiting within-school variation in gender composition across birth cohorts. Our approach differs from the existing literature, which exploits variation in gender composition at a given grade level in different years. We argue that the birth cohort approach is a useful alternative as the grade level approach generally yields spurious gender peer effects when there is grade retention. The birth cohort approach applied to primary schools in Spain indicates statistically significant positive gender peer effects of girls on boys' academic achievement and statistically insignificant effects of girls on girls' achievement.

Suggested Citation

  • Antonio Chiccone & Walter Garcia-Fontes, 2014. "Gender Peer Effects in School, a Birth Cohort Approach," Working Papers 2014-07, FEDEA.
    • Handle: RePEc:fda:fdaddt:2014-07
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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. Victor Lavy & Analia Schlosser, 2011. "Mechanisms and Impacts of Gender Peer Effects at School," American Economic Journal: Applied Economics, American Economic Association, vol. 3(2), pages 1-33, April.
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    6. Brian A. Jacob & Lars Lefgren, 2009. "The Effect of Grade Retention on High School Completion," American Economic Journal: Applied Economics, American Economic Association, vol. 1(3), pages 33-58, July.
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    8. Bryan S. Graham & Guido W. Imbens & Geert Ridder, 2014. "Complementarity and aggregate implications of assortative matching: A nonparametric analysis," Quantitative Economics, Econometric Society, vol. 5, pages 29-66, March.
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    10. Caroline Hoxby, 2000. "Peer Effects in the Classroom: Learning from Gender and Race Variation," NBER Working Papers 7867, National Bureau of Economic Research, Inc.
    11. Kelly Bedard & Elizabeth Dhuey, 2006. "The Persistence of Early Childhood Maturity: International Evidence of Long-Run Age Effects," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(4), pages 1437-1472.
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    13. Hanushek, Eric A. & Kain, John F. & Rivkin, Steven G., 2004. "Disruption versus Tiebout improvement: the costs and benefits of switching schools," Journal of Public Economics, Elsevier, vol. 88(9-10), pages 1721-1746, August.
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    Cited by:

    1. Maximilian Bach & Stephan Sievert, 2019. "Birth Cohort Size Variation and the Estimation of Class Size Effects," Discussion Papers of DIW Berlin 1817, DIW Berlin, German Institute for Economic Research.
    2. Farré, Lídia & Ortega, Francesc & Tanaka, Ryuichi, 2015. "Immigration and School Choices in the Midst of the Great Recession," IZA Discussion Papers 9234, Institute of Labor Economics (IZA).
    3. Soohyung Lee & Lesley J. Turner & Seokjin Woo & Kyunghee Kim, 2014. "All or Nothing? The Impact of School and Classroom Gender Composition on Effort and Academic Achievement," NBER Working Papers 20722, National Bureau of Economic Research, Inc.
    4. Sprietsma, Maresa & Pfeil, Lisa, 2015. "Peer effects in language training for migrants," ZEW Discussion Papers 15-033, ZEW - Leibniz Centre for European Economic Research.

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    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General

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