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Female Neighbors, Test Scores, and Careers

Author

Listed:
  • Sofoklis Goulas

    (Hoover Institution, Stanford University)

  • Rigissa Megalokonomou

    (Department of Economics, Monash University)

  • Yi Zhang

    (School of Economics, University of Queensland)

Abstract

How much does your neighbor impact your test scores and career? In this paper, we examine how an observable characteristic of same-age neighbors—their gender—affects a variety of high school and university outcomes. We exploit randomness in the gender composition of local cohorts at birth from one year to the next. Using new administrative data for the universe of students in consecutive cohorts in Greece, we find that a higher share of female neighbors improves both male and female students’ high school and university outcomes. We also find that female students are more likely to enroll in STEM degrees and target more lucrative occupations when they are exposed to a higher share of female neighbors. We collect rich qualitative geographic data on communal spaces (e.g., churches, libraries, parks, Scouts and sports fields) to understand whether access to spaces of social interaction drives neighbor effects. We find that communal facilities amplify neighbor effects among females.

Suggested Citation

  • Sofoklis Goulas & Rigissa Megalokonomou & Yi Zhang, 2023. "Female Neighbors, Test Scores, and Careers," Monash Economics Working Papers 2023-06, Monash University, Department of Economics.
  • Handle: RePEc:mos:moswps:2023-06
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    neighbor gender peer effects; cohort-to-cohort random variat; birth gender composition; geodata; STEM university degrees;
    All these keywords.

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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