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Do Gender Stereotypes Reduce Girls' Human Capital Outcomes? Evidence from a Natural Experiment

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  • Victor Lavy

Abstract

Schools and teachers are often said to be a source of stereotypes that harm girls. This paper tests for the existence of gender stereotyping and discrimination by public high-school teachers in Israel. It uses a natural experiment based on blind and non-blind scores that students receive on matriculation exams in their senior year. Using data on test results in several subjects in the humanities and sciences, I found, contrary to expectations, that male students face discrimination in each subject. These biases widen the female male achievement gap because girls outperform boys in all subjects, except English, and at all levels of the curriculum. The bias is evident in all segments of the ability and performance distribution and is robust to various individual controls. Several explanations based on differential behavior between boys and girls are not supported empirically. However, the size of the bias is very sensitive to teachers' characteristics, suggesting that the bias against male students is the result of teachers', and not students', behavior.

Suggested Citation

  • Victor Lavy, 2004. "Do Gender Stereotypes Reduce Girls' Human Capital Outcomes? Evidence from a Natural Experiment," NBER Working Papers 10678, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:10678
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    References listed on IDEAS

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    1. Paula England, 1982. "The Failure of Human Capital Theory to Explain Occupational Sex Segregation," Journal of Human Resources, University of Wisconsin Press, vol. 17(3), pages 358-370.
    2. Victor Lavy, 2009. "Performance Pay and Teachers' Effort, Productivity, and Grading Ethics," American Economic Review, American Economic Association, vol. 99(5), pages 1979-2011, December.
    3. 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.
    4. Brian A. Jacob & Steven D. Levitt, 2003. "Rotten Apples: An Investigation of the Prevalence and Predictors of Teacher Cheating," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(3), pages 843-877.
    5. 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.
    6. 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.
    7. Joshua Angrist & Victor Lavy, 2003. "Achievement awards for high school matriculation: Evidence from randomized trials," Natural Field Experiments 00202, The Field Experiments Website.
    8. Matthew Rabin & Joel L. Schrag, 1999. "First Impressions Matter: A Model of Confirmatory Bias," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(1), pages 37-82.
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    Citations

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    Cited by:

    1. Ammermüller, Andreas & Dolton, Peter J., 2006. "Pupil-teacher gender interaction effects on scholastic outcomes in England and the USA," ZEW Discussion Papers 06-060, ZEW - Leibniz Centre for European Economic Research.
    2. Lindahl, Erica, 2007. "Comparing teachers’ assessments and national test results – evidence from Sweden," Working Paper Series 2007:24, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    3. Amine Ouazad, 2014. "Assessed by a Teacher Like Me: Race and Teacher Assessments," Education Finance and Policy, MIT Press, vol. 9(3), pages 334-372, July.
    4. Ouazad, Amine, 2008. "Assessed by a teacher like me: race, gender and subjective evaluations," LSE Research Online Documents on Economics 28276, London School of Economics and Political Science, LSE Library.
    5. Paserman, M. Daniele, 2007. "Gender Differences in Performance in Competitive Environments: Evidence from Professional Tennis Players," IZA Discussion Papers 2834, Institute of Labor Economics (IZA).
    6. Thomas Braendle & Alois Stutzer, 2008. "Bureaucrats in Parliament: Theory and Evidence on Its Determinants in Germany," CREMA Working Paper Series 2008-23, Center for Research in Economics, Management and the Arts (CREMA).
    7. Florian Hoffmann & Philip Oreopoulos, 2009. "A Professor Like Me: The Influence of Instructor Gender on College Achievement," Journal of Human Resources, University of Wisconsin Press, vol. 44(2).
    8. Hans Bonesrønning, 2008. "The Effect Of Grading Practices On Gender Differences In Academic Performance," Bulletin of Economic Research, Wiley Blackwell, vol. 60(3), pages 245-264, July.
    9. 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.
    10. Manuel F. Bagues & Berta Esteve-Volart, 2010. "Can Gender Parity Break the Glass Ceiling? Evidence from a Repeated Randomized Experiment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(4), pages 1301-1328.
    11. Holmlund, Helena & Sund, Krister, 2008. "Is the gender gap in school performance affected by the sex of the teacher," Labour Economics, Elsevier, vol. 15(1), pages 37-53, February.
    12. Thomas S. Dee, 2007. "Teachers and the Gender Gaps in Student Achievement," Journal of Human Resources, University of Wisconsin Press, vol. 42(3).
    13. Lydia Mechtenberg, 2006. "Cheap Talk in the Classroom," SFB 649 Discussion Papers SFB649DP2006-019, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    14. Hoffman, Florian & Oreopoulos, Philip, 2009. "A Professor Like Me: Influence of Professor Gender on University Achievement," CLSSRN working papers clsrn_admin-2009-13, Vancouver School of Economics, revised 02 Feb 2009.
    15. Bauer, Philipp & Sheldon, George, 2008. "Ethnic Discrimination in Education: The Swiss Case," Working papers 2008/08, Faculty of Business and Economics - University of Basel.

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    More about this item

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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