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Implicit Stereotypes: Evidence from Teachers' Gender Bias

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  • Carlana, Michela

    (Harvard Kennedy School)

Abstract

I study whether exposure to teachers' stereotypes, as measured by the Gender-Science Implicit Association Test, affects student achievement. I provide evidence that the gender gap in math performance substantially increases when students are assigned to teachers with stronger gender stereotypes. Teachers' stereotypes induce girls to underperform in math and self-select into less demanding high-schools, following the track recommendation of their teachers. These effects are at least partially driven by a lower self-confidence on own math ability of girls exposed to gender biased teachers. The findings are consistent with the hypothesis that stereotypes impair the test performance of ability-stigmatized groups, who end up failing to achieve their full potential.

Suggested Citation

  • Carlana, Michela, 2018. "Implicit Stereotypes: Evidence from Teachers' Gender Bias," IZA Discussion Papers 11659, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp11659
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    1. Terrier, Camille, 2020. "Boys lag behind: How teachers’ gender biases affect student achievement," Economics of Education Review, Elsevier, vol. 77(C).
    2. Niels D. Grosse & Gerhard Riener, 2010. "Explaining Gender Differences in Competitiveness: Gender-Task Stereotypes," Jena Economics Research Papers 2010-017, Friedrich-Schiller-University Jena.
    3. Scott E. Carrell & Marianne E. Page & James E. West, 2010. "Sex and Science: How Professor Gender Perpetuates the Gender Gap," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(3), pages 1101-1144.
    4. Gregori Baetschmann & Kevin E. Staub & Rainer Winkelmann, 2015. "Consistent estimation of the fixed effects ordered logit model," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(3), pages 685-703, June.
    5. Lucia Corno & Eliana La Ferrara & Justine Burns, 2022. "Interaction, Stereotypes, and Performance: Evidence from South Africa," American Economic Review, American Economic Association, vol. 112(12), pages 3848-3875, December.
    6. Dylan Glover & Amanda Pallais & William Pariente, 2017. "Discrimination as a Self-Fulfilling Prophecy: Evidence from French Grocery Stores," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(3), pages 1219-1260.
    7. Alberto Alesina & Michela Carlana & Eliana La Ferrara & Paolo Pinotti, 2018. "Revealing Stereotypes: Evidence from Immigrants in Schools," NBER Working Papers 25333, National Bureau of Economic Research, Inc.
    8. 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.
    9. Katherine Baldiga Coffman, 2014. "Evidence on Self-Stereotyping and the Contribution of Ideas," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(4), pages 1625-1660.
    10. Eric P. Bettinger, 2012. "Paying to Learn: The Effect of Financial Incentives on Elementary School Test Scores," The Review of Economics and Statistics, MIT Press, vol. 94(3), pages 686-698, August.
    11. Nicholas W. Papageorge & Seth Gershenson & Kyung Min Kang, 2020. "Teacher Expectations Matter," The Review of Economics and Statistics, MIT Press, vol. 102(2), pages 234-251, May.
    12. 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.
    13. Steven D. Levitt & John A. List & Susanne Neckermann & Sally Sadoff, 2016. "The Behavioralist Goes to School: Leveraging Behavioral Economics to Improve Educational Performance," American Economic Journal: Economic Policy, American Economic Association, vol. 8(4), pages 183-219, November.
    14. J. Aislinn Bohren & Alex Imas & Michael Rosenberg, 2019. "The Dynamics of Discrimination: Theory and Evidence," American Economic Review, American Economic Association, vol. 109(10), pages 3395-3436, October.
    15. Rooth, Dan-Olof, 2010. "Automatic associations and discrimination in hiring: Real world evidence," Labour Economics, Elsevier, vol. 17(3), pages 523-534, June.
    16. Pedro Bordalo & Katherine Coffman & Nicola Gennaioli & Andrei Shleifer, 2019. "Beliefs about Gender," American Economic Review, American Economic Association, vol. 109(3), pages 739-773, March.
    17. Lori Beaman & Raghabendra Chattopadhyay & Esther Duflo & Rohini Pande & Petia Topalova, 2009. "Powerful Women: Does Exposure Reduce Bias?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1497-1540.
    18. Marianne Bertrand & Dolly Chugh & Sendhil Mullainathan, 2005. "Implicit Discrimination," American Economic Review, American Economic Association, vol. 95(2), pages 94-98, May.
    19. Lavy, Victor & Sand, Edith, 2015. "On The Origins of Gender Human Capital Gaps: Short and Long Term Consequences of Teachers’ Stereotypical Biases," The Warwick Economics Research Paper Series (TWERPS) 1085, University of Warwick, Department of Economics.
    20. Pamela Giustinelli, 2016. "Group Decision Making With Uncertain Outcomes: Unpacking Child–Parent Choice Of The High School Track," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57, pages 573-602, May.
    21. Lowes, Sara Rachel & Nunn, Nathan & Robinson, James A. & Weigel, Jonathan Lynn, 2015. "Understanding Ethnic Identity in Africa: Evidence from the Implicit Association Test (IAT)," Scholarly Articles 33077827, Harvard University Department of Economics.
    22. Natalia Nollenberger & Núria Rodríguez-Planas & Almudena Sevilla, 2016. "The Math Gender Gap: The Role of Culture," American Economic Review, American Economic Association, vol. 106(5), pages 257-261, May.
    23. David Card & A. Abigail Payne, 2021. "High School Choices And The Gender Gap In Stem," Economic Inquiry, Western Economic Association International, vol. 59(1), pages 9-28, January.
    24. Thomas S. Dee, 2014. "Stereotype Threat And The Student-Athlete," Economic Inquiry, Western Economic Association International, vol. 52(1), pages 173-182, January.
    25. La Ferrara, Eliana & Carlana, Michela & Pinotti, Paolo, 2017. "Goals and Gaps: Educational Careers of Immigrant Children," CEPR Discussion Papers 12538, C.E.P.R. Discussion Papers.
    26. Sule Alan & Seda Ertac & Ipek Mumcu, 2018. "Gender Stereotypes in the Classroom and Effects on Achievement," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 876-890, December.
    27. Prashant Bharadwaj & Giacomo De Giorgi & David Hansen & Christopher Neilson, 2012. "The Gender Gap in Mathematics: Evidence from Low- and Middle-Income Countries," NBER Working Papers 18464, National Bureau of Economic Research, Inc.
    28. 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.
    29. Jonathan Guryan & Kerwin Kofi Charles, 2013. "Taste‐based or Statistical Discrimination: The Economics of Discrimination Returns to its Roots," Economic Journal, Royal Economic Society, vol. 123(11), pages 417-432, November.
    30. 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.
    31. 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.
    32. Eric P. Bettinger & Bridget Terry Long, 2005. "Do Faculty Serve as Role Models? The Impact of Instructor Gender on Female Students," American Economic Review, American Economic Association, vol. 95(2), pages 152-157, May.
    33. Luigi Guiso & Paola Sapienza & Luigi Zingales, 2006. "Does Culture Affect Economic Outcomes?," Journal of Economic Perspectives, American Economic Association, vol. 20(2), pages 23-48, Spring.
    34. 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.
    35. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    36. Carlana, Michela, 2018. "Implicit Stereotypes: Evidence from Teachers’ Gender Bias," Working Paper Series rwp18-034, Harvard University, John F. Kennedy School of Government.
    37. 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.
    38. Barbieri, Gianna & Rossetti, Claudio & Sestito, Paolo, 2011. "The determinants of teacher mobility: Evidence using Italian teachers’ transfer applications," Economics of Education Review, Elsevier, vol. 30(6), pages 1430-1444.
    39. Sara Lowes & Nathan Nunn & James A. Robinson & Jonathan Weigel, 2015. "Understanding Ethnic Identity in Africa: Evidence from the Implicit Association Test (IAT)," American Economic Review, American Economic Association, vol. 105(5), pages 340-345, May.
    40. Muriel Niederle & Lise Vesterlund, 2010. "Explaining the Gender Gap in Math Test Scores: The Role of Competition," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 129-144, Spring.
    41. repec:eee:labchp:v:3:y:1999:i:pc:p:3143-3259 is not listed on IDEAS
    42. Prashant Bharadwaj & Giacomo De Giorgi & David Hansen & Christopher Neilson, 2015. "The gender gap in mathematics: evidence from a middle-income country," Staff Reports 721, Federal Reserve Bank of New York.
    43. Pamela Campa & Alessandra Casarico & Paola Profeta, 2011. "Gender Culture and Gender Gap in Employment," CESifo Economic Studies, CESifo Group, vol. 57(1), pages 156-182, March.
    44. Thomas Breda & Julien Grenet & Marion Monnet & Clémentine van Effenterre, 2023. "How Effective are Female Role Models in Steering Girls towards STEM? Evidence from French High Schools," Working Papers halshs-01713068, HAL.
    45. 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.
    46. Eric Luis Uhlmann & Anthony Greenwald & Andrew Poehlmann & Mahzarin Banaji, 2009. "Understanding and Using the Implicit Association Test: III. Meta-Analysis of Predictive Validity," Post-Print hal-00516146, HAL.
    47. Heather Antecol & Ozkan Eren & Serkan Ozbeklik, 2015. "The Effect of Teacher Gender on Student Achievement in Primary School," Journal of Labor Economics, University of Chicago Press, vol. 33(1), pages 63-89.
    48. Kugler, Adriana & Tinsley, Catherine H. & Ukhaneva, Olga, 2017. "Choice of Majors: Are Women Really Different from Men?," IZA Discussion Papers 10947, Institute of Labor Economics (IZA).
    49. Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881.
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    More about this item

    Keywords

    gender; math; teachers; implicit stereotypes; IAT; self-confidence; track choice;
    All these keywords.

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

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