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Persistency in Teachers’ Grading Bias and Effects on Longer-Term Outcomes: University Admissions Exams and Choice of Field of Study

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  • Victor Lavy
  • Rigissa Megalokonomou

Abstract

Recent research has focused on what shapes gender differences in academic achievement and students’ choice of university field of study. In this paper we examine how teachers’ gender role attitudes and stereotypes influence the gender gap by affecting the school environment. We explore the extent to which teachers’ gender bias in high school influences students’ school attendance and academic performance in high-stakes university admission exams and students’ choice of university field of study. We use data from a large number of high schools in Greece, where the performance in these high-stakes exams determines university admission. We measure teachers’ bias as the difference between a high school student’s school exam score and national exam score. We then define a teacher bias measure at the class level by the difference between boys’ and girls’ average gap between the school score and the national score. We link teachers over time to obtain a persistent teacher bias measure based on multiple classes, and to estimate the effect for later cohorts’ performance. We find a very high correlation of within-teacher gender biases measured in different classes, which reveals high persistency in teachers’ gender favoritism behavior. We then find substantial effects of these teacher biases on students’ school attendance and performance in university admission exams, quality of enrolled degree and the given field of study at the university. We also find that gender biases are more prevalent among low value added teachers, while the more effective teachers have an approximately neutral gender attitude. This suggests that less effective teachers can harm their students twice, by being a bad teacher and by discriminating against one of the genders.

Suggested Citation

  • Victor Lavy & Rigissa Megalokonomou, 2019. "Persistency in Teachers’ Grading Bias and Effects on Longer-Term Outcomes: University Admissions Exams and Choice of Field of Study," NBER Working Papers 26021, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:26021
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    References listed on IDEAS

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    Cited by:

    1. Terrier, Camille, 2020. "Boys lag behind: How teachers’ gender biases affect student achievement," Economics of Education Review, Elsevier, vol. 77(C).
    2. Speer, Jamin D., 2023. "Bye bye Ms. American Sci: Women and the leaky STEM pipeline," Economics of Education Review, Elsevier, vol. 93(C).
    3. Megalokonomou, Rigissa & Vidal-Fernandez, Marian & Yengin, Duygu, 2021. "Underrepresentation of Women in Undergraduate Economics Degrees in Europe: A Comparison with STEM and Business," IZA Policy Papers 175, Institute of Labor Economics (IZA).
    4. Michela Carlana, 2019. "Implicit Stereotypes: Evidence from Teachers’ Gender Bias," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(3), pages 1163-1224.
    5. Rakshit, Sonali & Sahoo, Soham, 2023. "Biased teachers and gender gap in learning outcomes: Evidence from India," Journal of Development Economics, Elsevier, vol. 161(C).
    6. Lavy, Victor & Sand, Edith, 2018. "On the origins of gender gaps in human capital: Short- and long-term consequences of teachers' biases," Journal of Public Economics, Elsevier, vol. 167(C), pages 263-279.
    7. Goulas, Sofoklis & Griselda, Silvia & Megalokonomou, Rigissa, 2023. "Compulsory class attendance versus autonomy," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 935-981.
    8. Fumagalli, Laura & Rabe, Birgitta & Burn, Hettie, 2023. "Teacher grade predictions for ethnic minority groups: evidence from England," ISER Working Paper Series 2023-03, Institute for Social and Economic Research.
    9. Judith M. Delaney & Paul J. Devereux, 2021. "Gender and Educational Achievement: Stylized Facts and Causal Evidence," Working Papers 202103, School of Economics, University College Dublin.
    10. Maria Zumbuehl & Nihal Chehber & Rik Dillingh, 2022. "Can skill differences explain the gap in the track recommendation by socio-economic status?," CPB Discussion Paper 439, CPB Netherlands Bureau for Economic Policy Analysis.
    11. Mcnally, Sandra, 2020. "Gender differences in tertiary education: what explains STEM participation," LSE Research Online Documents on Economics 108232, London School of Economics and Political Science, LSE Library.
    12. Anne Ardila Brenøe, 2018. "Origins of gender norms: sibling gender composition and women's choice of occupation and partner," ECON - Working Papers 294, Department of Economics - University of Zurich.
    13. 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).
    14. Goulas, Sofoklis & Griselda, Silvia & Megalokonomou, Rigissa, 2020. "Comparative Advantage and Gender Gap in STEM," IZA Discussion Papers 13313, Institute of Labor Economics (IZA).
    15. Swee, Eik Leong & Zhan, Haikun & Powdthavee, Nattavudh, 2021. "Do perceptions of economic well-being predict the onset of war and peace?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 95(C).
    16. Eble, Alex & Hu, Feng, 2020. "Child beliefs, societal beliefs, and teacher-student identity match," Economics of Education Review, Elsevier, vol. 77(C).
    17. Chiara Cavaglia & Stephen Machin & Sandra McNally & Jenifer Ruiz-Valenzuela, 2020. "Gender, achievement, and subject choice in English education," CVER Research Papers 032, Centre for Vocational Education Research.

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    More about this item

    JEL classification:

    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • 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

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