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On The Origins of Gender Human Capital Gaps: Short and Long Term Consequences of Teachers’ Stereotypical Biases

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  • Victor Lavy
  • Edith Sand
Abstract
In this paper, we estimate the effect of primary school teachers’ gender biases on boys’ and girls’ academic achievements during middle and high school and on the choice of advanced level courses in math and sciences during high school. For identification, we rely on the random assignments of teachers and students to classes in primary schools. Our results suggest that teachers’ biases favoring boys have an asymmetric effect by gender— positive effect on boys’ achievements and negative effect on girls’. Such gender biases also impact students’ enrollment in advanced level math courses in high school—boys positively and girls negatively. These results suggest that teachers’ biased behavior at early stage of schooling have long run implications for occupational choices and earnings at adulthood, because enrollment in advanced courses in math and science in high school is a prerequisite for post-secondary schooling in engineering, computer science and so on. This impact is heterogeneous, being larger for children from families where the father is more educated than the mother and larger on girls from low socioeconomic background.

Suggested Citation

  • Victor Lavy & Edith Sand, 2015. "On The Origins of Gender Human Capital Gaps: Short and Long Term Consequences of Teachers’ Stereotypical Biases," NBER Working Papers 20909, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:20909
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    References listed on IDEAS

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    1. Hinnerich, Björn Tyrefors & Höglin, Erik & Johannesson, Magnus, 2011. "Are boys discriminated in Swedish high schools?," Economics of Education Review, Elsevier, vol. 30(4), pages 682-690, August.
    2. Paglin, Morton & Rufolo, Anthony M, 1990. "Heterogeneous Human Capital, Occupational Choice, and Male-Female Earnings Differences," Journal of Labor Economics, University of Chicago Press, vol. 8(1), pages 123-144, January.
    3. Alberto Alesina & Paola Giuliano & Nathan Nunn, 2013. "On the Origins of Gender Roles: Women and the Plough," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(2), pages 469-530.
    4. Christopher Cornwell & David B. Mustard & Jessica Van Parys, 2013. "Noncognitive Skills and the Gender Disparities in Test Scores and Teacher Assessments: Evidence from Primary School," Journal of Human Resources, University of Wisconsin Press, vol. 48(1), pages 236-264.
    5. Fernando Botelho & Ricardo Madeira, Marcos A. Rangel, 2015. "Racial Discrimination in Grading: Evidence from Brazil," Working Papers, Department of Economics 2015_04, University of São Paulo (FEA-USP).
    6. Muriel Niederle & Lise Vesterlund, 2007. "Do Women Shy Away From Competition? Do Men Compete Too Much?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 1067-1101.
    7. Simon Burgess & Ellen Greaves, 2013. "Test Scores, Subjective Assessment, and Stereotyping of Ethnic Minorities," Journal of Labor Economics, University of Chicago Press, vol. 31(3), pages 535-576.
    8. Gary S. Becker & William H. J. Hubbard & Kevin M. Murphy, 2010. "Explaining the Worldwide Boom in Higher Education of Women," Journal of Human Capital, University of Chicago Press, vol. 4(3), pages 203-241.
    9. Victor Lavy, 2011. "What Makes an Effective Teacher? Quasi-Experimental Evidence," NBER Working Papers 16885, National Bureau of Economic Research, Inc.
    10. Roland G. Fryer & Steven D. Levitt, 2010. "An Empirical Analysis of the Gender Gap in Mathematics," American Economic Journal: Applied Economics, American Economic Association, vol. 2(2), pages 210-240, April.
    11. Devin G. Pope & Justin R. Sydnor, 2010. "Geographic Variation in the Gender Differences in Test Scores," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 95-108, Spring.
    12. Cecilia Rouse & Claudia Goldin, 2000. "Orchestrating Impartiality: The Impact of "Blind" Auditions on Female Musicians," American Economic Review, American Economic Association, vol. 90(4), pages 715-741, September.
    13. Claudia Goldin & Lawrence F. Katz & Ilyana Kuziemko, 2006. "The Homecoming of American College Women: The Reversal of the College Gender Gap," Journal of Economic Perspectives, American Economic Association, vol. 20(4), pages 133-156, Fall.
    14. Gary S. Becker & William H. J. Hubbard & Kevin M. Murphy, 2010. "Explaining the Worldwide Boom in Higher Education of Women," Journal of Human Capital, University of Chicago Press, vol. 4(3), pages 203-241.
    15. Murnane, Richard J & Willett, John B & Levy, Frank, 1995. "The Growing Importance of Cognitive Skills in Wage Determination," The Review of Economics and Statistics, MIT Press, vol. 77(2), pages 251-266, May.
    16. Lavy, Victor, 2008. "Do gender stereotypes reduce girls' or boys' human capital outcomes? Evidence from a natural experiment," Journal of Public Economics, Elsevier, vol. 92(10-11), pages 2083-2105, October.
    17. Chaim Fershtman & Uri Gneezy, 2001. "Discrimination in a Segmented Society: An Experimental Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 351-377.
    18. Rema N. Hanna & Leigh L. Linden, 2012. "Discrimination in Grading," American Economic Journal: Economic Policy, American Economic Association, vol. 4(4), pages 146-168, November.
    19. Goldin, Claudia D. & Rouse, Cecilia, 2000. "Orchestrating Impartiality: The Impact of “Blind†Auditions on Female Musicians," Scholarly Articles 30703974, Harvard University Department of Economics.
    20. Brown, Charles & Corcoran, Mary, 1997. "Sex-Based Differences in School Content and the Male-Female Wage Gap," Journal of Labor Economics, University of Chicago Press, vol. 15(3), pages 431-465, July.
    21. Glenn Ellison & Ashley Swanson, 2010. "The Gender Gap in Secondary School Mathematics at High Achievement Levels: Evidence from the American Mathematics Competitions," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 109-128, Spring.
    22. Ebonya L. Washington, 2008. "Female Socialization: How Daughters Affect Their Legislator Fathers," American Economic Review, American Economic Association, vol. 98(1), pages 311-332, March.
    23. Fernando Botelho & Ricardo A. Madeira & Marcos A. Rangel, 2015. "Racial Discrimination in Grading: Evidence from Brazil," American Economic Journal: Applied Economics, American Economic Association, vol. 7(4), pages 37-52, October.
    24. Thomas S. Dee, 2005. "A Teacher Like Me: Does Race, Ethnicity, or Gender Matter?," American Economic Review, American Economic Association, vol. 95(2), pages 158-165, May.
    25. Blank, Rebecca M, 1991. "The Effects of Double-Blind versus Single-Blind Reviewing: Experimental Evidence from The American Economic Review," American Economic Review, American Economic Association, vol. 81(5), pages 1041-1067, December.
    26. Uri Gneezy & Muriel Niederle & Aldo Rustichini, 2003. "Performance in Competitive Environments: Gender Differences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(3), pages 1049-1074.
    27. Leonardo Bursztyn & Robert Jensen, 2015. "How Does Peer Pressure Affect Educational Investments?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(3), pages 1329-1367.
    28. Nahum Blass & Shay Tsur & Noam Zussman, 2014. "Segregation of students in primary and middle schools," Bank of Israel Working Papers 2014.07, Bank of Israel.
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    More about this item

    JEL classification:

    • 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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