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Girls, Boys, and High Achievers

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  • Cools, Angela

    (Cornell University)

  • Fernández, Raquel

    (New York University)

  • Patacchini, Eleonora

    (Cornell University)

Abstract

This paper studies the effect of exposure to female and male "high-achievers" in high school on the long-run educational outcomes of their peers. Using data from a recent cohort of students in the United States, we identify a causal effect by exploiting quasi-random variation in the exposure of students to peers with highly-educated parents across cohorts within a school. We find that greater exposure to "high-achieving" boys, as proxied by their parents' education, decreases the likelihood that girls go on to complete a bachelor's degree, substituting the latter with junior college degrees. It also affects negatively their math and science grades and, in the long term, decreases labor force participation and increases fertility. We explore possible mechanisms and find that greater exposure leads to lower self-confidence and aspirations and to more risky behavior (including having a child before age 18). The girls most strongly affected are those in the bottom half of the ability distribution (as measured by the Peabody Picture Vocabulary Test), those with at least one college-educated parent, and those attending a school in the upper half of the socioeconomic distribution. The effects are quantitatively important: an increase of one standard deviation in the percent of "high-achieving" boys decreases the probability of obtaining a bachelor's degree from 2.2-4.5 percentage points, depending on the group. Greater exposure to "high-achieving" girls, on the other hand, increases bachelor's degree attainment for girls in the lower half of the ability distribution, those without a college-educated parent, and those attending a school in the upper half of the socio-economic distribution. The effect of "high-achievers" on male outcomes is markedly different: boys are unaffected by "high-achievers" of either gender.

Suggested Citation

  • Cools, Angela & Fernández, Raquel & Patacchini, Eleonora, 2019. "Girls, Boys, and High Achievers," IZA Discussion Papers 12314, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp12314
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    Cited by:

    1. Bethencourt, Carlos & Santos-Torres, Daniel, 2023. "Gender-role identity in adolescence and women fertility in adulthood," MPRA Paper 116321, University Library of Munich, Germany.
    2. Modena, Francesca & Rettore, Enrico & Tanzi, Giulia, 2021. "Does Gender Matter? The Effect of High Performing Peers on Academic Performances," IZA Discussion Papers 14806, Institute of Labor Economics (IZA).
    3. Judith M. Delaney & Paul J. Devereux, 2022. "Gender Differences in STEM Persistence after Graduation," Economica, London School of Economics and Political Science, vol. 89(356), pages 862-883, October.
    4. Chung, Bobby W., 2020. "Peers’ parents and educational attainment: The exposure effect," Labour Economics, Elsevier, vol. 64(C).
    5. Yann Bramoullé & Habiba Djebbari & Bernard Fortin, 2020. "Peer Effects in Networks: A Survey," Annual Review of Economics, Annual Reviews, vol. 12(1), pages 603-629, August.
    6. Tsai, Yung-Yu, 2022. "Does undue preference lead to unfairness? The impact of teacher favoritism on teacher treatment and student achievement," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 101(C).
    7. Brunello, Giorgio & Sanz-de-Galdeano, Anna & Terskaya, Anastasia, 2020. "Not only in my genes: The effects of peers’ genotype on obesity," Journal of Health Economics, Elsevier, vol. 72(C).
    8. Pregaldini, Damiano & Backes-Gellner, Uschi & Eisenkopf, Gerald, 2020. "Girls’ preferences for STEM and the effects of classroom gender composition: New evidence from a natural experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 102-123.
    9. Simone Balestra & Aurélien Sallin & Stefan C. Wolter, 2023. "High-Ability Influencers? The Heterogeneous Effects of Gifted Classmates," Journal of Human Resources, University of Wisconsin Press, vol. 58(2), pages 633-665.
    10. Daniel Borbely & Jonathan Norris & Agnese Romiti, 2023. "Peer Gender and Schooling: Evidence from Ethiopia," Journal of Human Capital, University of Chicago Press, vol. 17(2), pages 207-249.
    11. Lukas Kiessling & Jonathan Norris, 2020. "The long-run effects of peers on mental health," Working Papers 2006, University of Strathclyde Business School, Department of Economics.
    12. Holmlund, Helena & Lindahl, Erica & Roman, Sara, 2021. "Immigrant peers in the class: responses among natives and the effects on long-run revealed preferences," Working Paper Series 2021:16, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    13. Matthew O. Jackson & Stephen M. Nei & Erik Snowberg & Leeat Yariv, 2022. "The Dynamics of Networks and Homophily," NBER Working Papers 30815, National Bureau of Economic Research, Inc.
    14. Feld, Jan & Zölitz, Ulf, 2022. "The effect of higher-achieving peers on major choices and labor market outcomes," Journal of Economic Behavior & Organization, Elsevier, vol. 196(C), pages 200-219.
    15. Sarah Cattan & Kjell Salvanes & Emma Tominey, 2022. "First Generation Elite: The Role of School Networks," Working Papers 2022-028, Human Capital and Economic Opportunity Working Group.
    16. Delaney, Judith M. & Devereux, Paul J., 2021. "Gender and Educational Achievement: Stylized Facts and Causal Evidence," IZA Discussion Papers 14074, Institute of Labor Economics (IZA).
    17. Wennberg, Karl & Norgren, Axel, 2021. "Models of Peer Effects in Education," Working Papers 21/3, Stockholm School of Economics, Center for Educational Leadership and Excellence.
    18. Ziteng Lei, 2022. "Short-run and long-run effects of peers from disrupted families," Journal of Population Economics, Springer;European Society for Population Economics, vol. 35(3), pages 1007-1036, July.
    19. Holmlund, Helena & Lindahl, Erica & Roman, Sara, 2023. "Immigrant peers in the class: Effects on natives’ long-run revealed preferences," Labour Economics, Elsevier, vol. 82(C).
    20. Patacchini, Eleonora & Hsieh, Chih-Sheng & Lin, Xu, 2019. "Social Interaction Methods," CEPR Discussion Papers 14141, C.E.P.R. Discussion Papers.
    21. Shelly Lundberg, 2020. "Educational gender gaps," Southern Economic Journal, John Wiley & Sons, vol. 87(2), pages 416-439, October.

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    More about this item

    Keywords

    gender; education; cohort study; high achievers; peers;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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