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Gender-matching School Effects on Girls’ Cognitive and Non-cognitive Performance —Empirical Evidence from South Korea

Author

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  • Seo-Young Cho

    (Philipps-Universität Marburg)

Abstract

Gender-matching school environments may provide benefits for girls to enhance their performance. By using PISA data from South Korea, this paper suggests that the effects of single-sex schooling and a student-teacher’s gender matching are heterogeneous across different student groups. The gender-matching school environments are most positive to non-cognitive outcomes of girls at the highest tail of cognitive performance levels. By attending an all-girls school and being taught by a female teacher, high performing girls are as motivated and interested in pursuing careers in STEM fields as boys. However, single-sex schooling and female teachers do not produce positive effects on girls in lower performing groups. For median girls, single-sex schooling can even be detrimental to their non-cognitive performance. These results corroborate that gender-matching school environments can be a useful tool to promote female talent in STEM fields, but the effect cannot be generalized for public education for all students.

Suggested Citation

  • Seo-Young Cho, 2017. "Gender-matching School Effects on Girls’ Cognitive and Non-cognitive Performance —Empirical Evidence from South Korea," MAGKS Papers on Economics 201738, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    • Handle: RePEc:mar:magkse:201738
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    File URL: http://www.uni-marburg.de/fb02/makro/forschung/magkspapers/paper_2017/38-2017_cho.pdf
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    More about this item

    Keywords

    gender-matching effects; student-teacher’s gender-matching; single-sex schooling; cognitive performance; non-cognitive performance; education production functions; propensity-score matching; South Korea;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East

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