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Peers’ Composition Effects in the Short and in the Long Run: College Major, College Performance and Income

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  • Massimo Anelli
  • Giovanni Peri

Abstract

In this paper we use a newly constructed dataset following 30,000 Italian individuals from high school to labor market and we analyze whether the gender composition of peers in high school affected their choice of college major, their academic performance and their labor market income. We leverage the fact that the composition of high school classmates (peers), within school-cohort and teacher-group, was not chosen by the students and it was as good as random. We find that male students graduating from classes with at least 80% of male peers were more likely to choose “prevalently male” (PM) college majors (Economics, Business and Engineering). However, this higher propensity to enroll in PM majors faded away during college (through transfers and attrition) so that men from classes with at least 80% of male peers in high school did not have higher probability of graduating in PM majors. They had instead worse college performance and did not exhibit any difference in income or labor market outcomes after college. We do not find significant effects on women.

Suggested Citation

  • Massimo Anelli & Giovanni Peri, 2015. "Peers’ Composition Effects in the Short and in the Long Run: College Major, College Performance and Income," Working Papers 078, "Carlo F. Dondena" Centre for Research on Social Dynamics (DONDENA), Università Commerciale Luigi Bocconi.
  • Handle: RePEc:don:donwpa:078
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    References listed on IDEAS

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    1. Scott E. Carrell & Marianne E. Page & James E. West, 2010. "Sex and Science: How Professor Gender Perpetuates the Gender Gap," The Quarterly Journal of Economics, Oxford University Press, vol. 125(3), pages 1101-1144.
    2. Booth, Alison & Nolen, Patrick, 2012. "Choosing to compete: How different are girls and boys?," Journal of Economic Behavior & Organization, Elsevier, vol. 81(2), pages 542-555.
    3. Muriel Niederle & Lise Vesterlund, 2010. "Explaining the Gender Gap in Math Test Scores: The Role of Competition," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 129-144, Spring.
    4. 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.
    5. Schneeweis, Nicole & Zweimüller, Martina, 2012. "Girls, girls, girls: Gender composition and female school choice," Economics of Education Review, Elsevier, vol. 31(4), pages 482-500.
    6. Joseph G. Altonji & Erica Blom & Costas Meghir, 2012. "Heterogeneity in Human Capital Investments: High School Curriculum, College Major, and Careers," Annual Review of Economics, Annual Reviews, vol. 4(1), pages 185-223, July.
    7. Caroline M. Hoxby, 2000. "The Effects of Class Size on Student Achievement: New Evidence from Population Variation," The Quarterly Journal of Economics, Oxford University Press, vol. 115(4), pages 1239-1285.
    8. Billger, Sherrilyn M., 2009. "On reconstructing school segregation: The efficacy and equity of single-sex schooling," Economics of Education Review, Elsevier, vol. 28(3), pages 393-402, June.
    9. Scott E. Carrell & Mark L. Hoekstra, 2010. "Externalities in the Classroom: How Children Exposed to Domestic Violence Affect Everyone's Kids," American Economic Journal: Applied Economics, American Economic Association, vol. 2(1), pages 211-228, January.
    10. Muriel Niederle & Lise Vesterlund, 2007. "Do Women Shy Away From Competition? Do Men Compete Too Much?," The Quarterly Journal of Economics, Oxford University Press, vol. 122(3), pages 1067-1101.
    11. Sherrilyn Billger, 2002. "Admitting men into a women's college: A natural experiment," Applied Economics Letters, Taylor & Francis Journals, vol. 9(7), pages 479-483.
    12. Scott E. Carrell & Richard L. Fullerton & James E. West, 2009. "Does Your Cohort Matter? Measuring Peer Effects in College Achievement," Journal of Labor Economics, University of Chicago Press, vol. 27(3), pages 439-464, July.
    13. Hyunjoon Park & Jere R. Behrman & Jaesung Choi, 2012. "Do Single-Sex Schools Enhance Students’ STEM (Science, Technology, Engineering, and Mathematics) Outcomes?," PIER Working Paper Archive 12-038, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    14. Hyunjoon Park & Jere Behrman & Jaesung Choi, 2013. "Causal Effects of Single-Sex Schools on College Entrance Exams and College Attendance: Random Assignment in Seoul High Schools," Demography, Springer;Population Association of America (PAA), vol. 50(2), pages 447-469, April.
    15. Uri Gneezy & Muriel Niederle & Aldo Rustichini, 2003. "Performance in Competitive Environments: Gender Differences," The Quarterly Journal of Economics, Oxford University Press, vol. 118(3), pages 1049-1074.
    16. Thomas Buser & Muriel Niederle & Hessel Oosterbeek, 2014. "Gender, Competitiveness, and Career Choices," The Quarterly Journal of Economics, Oxford University Press, vol. 129(3), pages 1409-1447.
    17. Jonathan Guryan & Kory Kroft & Matthew J. Notowidigdo, 2009. "Peer Effects in the Workplace: Evidence from Random Groupings in Professional Golf Tournaments," American Economic Journal: Applied Economics, American Economic Association, vol. 1(4), pages 34-68, October.
    18. Booth, Alison & Nolen, Patrick & Cardona Sosa, Lina, 2014. "Do Single-Sex Classes Affect Achievement? An Experiment in a Coeducational University," CEPR Discussion Papers 10221, C.E.P.R. Discussion Papers.
    19. Victor Lavy & Analía Schlosser, 2011. "Corrigendum: Mechanisms and Impacts of Gender Peer Effects at School," American Economic Journal: Applied Economics, American Economic Association, vol. 3(3), pages 268-268, July.
    20. Sarah E. Turner & William G. Bowen, 1999. "Choice of Major: The Changing (Unchanging) Gender Gap," ILR Review, Cornell University, ILR School, vol. 52(2), pages 289-313, January.
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    Cited by:

    1. Claudia Olivetti & Eleonora Patacchini & Yves Zenou, 2020. "Mothers, Peers, and Gender-Role Identity," Journal of the European Economic Association, European Economic Association, vol. 18(1), pages 266-301.
    2. Scott E. Carrell & Mark Hoekstra & Elira Kuka, 2018. "The Long-Run Effects of Disruptive Peers," American Economic Review, American Economic Association, vol. 108(11), pages 3377-3415, November.
    3. Marta De Philippis, 2016. "STEM graduates and secondary school curriculum: does early exposure to science matter?," CEP Discussion Papers dp1443, Centre for Economic Performance, LSE.
    4. 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.
    5. Rodríguez-Planas, Núria & Sanz-de-Galdeano, Anna & Terskaya, Anastasia, 2018. "Independent Thinking and Hard Working, or Caring and Well Behaved? Short- and Long-Term Impacts of Gender Identity Norms," IZA Discussion Papers 11694, Institute of Labor Economics (IZA).
    6. 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.

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    More about this item

    Keywords

    Peer effects; high school; gender; choice of college major; academic performance; wages;
    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
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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