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Discriminación de género en las calificaciones de las escuelas públicas uruguayas

Author

Listed:
  • Marisa Bucheli

    (Departamento de Economía. Facultad de Ciencias Sociales. Universidad de la República (Uruguay))

  • Claudia Contreras

    (Banco Central del Uruguay)

Abstract

This paper analyzed the existence of a gender bias in the final performance’s grading set by teachers of third grade and six-grade of public schools in Uruguay. For this, administrative data, blind test scores (TERCE) and non-blind tests scores (final performance’s grading) of third-grade and sixth-grade of school students are used. The econometric strategy consisted in controlling the performance’s grade with the blind test scores and certain characteristics of the students, the social-economical background, the school’s characteristics, the teacher’s grading of student’s behavior and a dummy of the sex of the child. A bias was found in performance’s grading in favor of men in third-grade but no differences were found in sixth-grade performance’s grading. The different teacher’s behavior in each grade could be a consequence of the matching mechanism between teachers and classes, that would seem to assign the better teachers to sixth-grade.

Suggested Citation

  • Marisa Bucheli & Claudia Contreras, 2018. "Discriminación de género en las calificaciones de las escuelas públicas uruguayas," Documentos de trabajo 2018008, Banco Central del Uruguay.
  • Handle: RePEc:bku:doctra:2018008
    as

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    File URL: https://www.bcu.gub.uy/Estadisticas-e-Indicadores/Documentos%20de%20Trabajo/8.2018.pdf
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    References listed on IDEAS

    as
    1. Goldin, Claudia D. & Rouse, Cecilia, 2000. "Orchestrating Impartiality: The Impact of “Blind†Auditions on Female Musicians," Scholarly Articles 30703974, Harvard University Department of Economics.
    2. 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.
    3. Roland G. Fryer & Steven D. Levitt & John A. List, 2008. "Exploring the Impact of Financial Incentives on Stereotype Threat: Evidence from a Pilot Study," American Economic Review, American Economic Association, vol. 98(2), pages 370-375, May.
    4. Jan Feld & Nicolás Salamanca & Daniel S. Hamermesh, 2016. "Endophilia or Exophobia: Beyond Discrimination," Economic Journal, Royal Economic Society, vol. 126(594), pages 1503-1527, August.
    5. Altonji, Joseph G. & Blank, Rebecca M., 1999. "Race and gender in the labor market," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 48, pages 3143-3259, Elsevier.
    6. repec:eee:labchp:v:3:y:1999:i:pc:p:3143-3259 is not listed on IDEAS
    7. Matthew S. Goldberg, 1982. "Discrimination, Nepotism, and Long-Run Wage Differentials," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 97(2), pages 307-319.
    8. Erica Lindahl, 2016. "Are teacher assessments biased? -- evidence from Sweden," Education Economics, Taylor & Francis Journals, vol. 24(2), pages 224-238, April.
    9. Falch, Torberg & Naper, Linn Renée, 2013. "Educational evaluation schemes and gender gaps in student achievement," Economics of Education Review, Elsevier, vol. 36(C), pages 12-25.
    10. 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.
    11. 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).
    12. Thomas Breda & Son Thierry Ly, 2015. "Professors in Core Science Fields Are Not Always Biased against Women: Evidence from France," American Economic Journal: Applied Economics, American Economic Association, vol. 7(4), pages 53-75, October.
    13. 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.
    14. 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.
    15. Dennis J. Aigner & Glen G. Cain, 1977. "Statistical Theories of Discrimination in Labor Markets," ILR Review, Cornell University, ILR School, vol. 30(2), pages 175-187, January.
    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. 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.
    18. 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.
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    More about this item

    Keywords

    gender differences; discrimination; stereotypes; teacher grading; blind-test; education;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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