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Born in the family: Preferences for boys and the gender gap in math

Author

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  • Dossi, Gaia
  • Figlio, David
  • Giuliano, Paola
  • Sapienza, Paola

Abstract

We study the effect of preferences for boys on the performance in mathematics of girls, using evidence from two different data sources. In our first set of results, we identify families with a preference for boys by using fertility stopping rules in a large population of households whose children attend public schools in Florida. Girls growing up in a boy-biased family score on average 3 percentage points lower on math tests when compared to girls raised in other types of families. In our second set of results, we find similar effects when we study the correlations between girls’ performance in mathematics and maternal gender role attitudes, using evidence from the National Longitudinal Survey of Youth. We conclude that socialization at home can explain a non-trivial part of the observed gender disparities in mathematics performance and document that maternal gender attitudes correlate with those of their children, supporting the hypothesis that preferences transmitted through the family impact children behavior.

Suggested Citation

  • Dossi, Gaia & Figlio, David & Giuliano, Paola & Sapienza, Paola, 2021. "Born in the family: Preferences for boys and the gender gap in math," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 175-188.
    • Handle: RePEc:eee:jeborg:v:183:y:2021:i:c:p:175-188
    DOI: 10.1016/j.jebo.2020.12.012
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    1. Gordon B. Dahl & Enrico Moretti, 2008. "The Demand for Sons," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 75(4), pages 1085-1120.
    2. 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.
    3. Cortes, Kalena E. & Goodman, Joshua Samuel & Nomi, Takako, 2015. "Intensive Math Instruction and Educational Attainment," Scholarly Articles 34298862, Harvard Kennedy School of Government.
    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. Kalena E. Cortes & Joshua S. Goodman & Takako Nomi, 2015. "Intensive Math Instruction and Educational Attainment: Long-Run Impacts of Double-Dose Algebra," Journal of Human Resources, University of Wisconsin Press, vol. 50(1), pages 108-158.
    6. Lídia Farré & Francis Vella, 2013. "The Intergenerational Transmission of Gender Role Attitudes and its Implications for Female Labour Force Participation," Economica, London School of Economics and Political Science, vol. 80(318), pages 219-247, April.
    7. Joshua Goodman, 2019. "The Labor of Division: Returns to Compulsory High School Math Coursework," Journal of Labor Economics, University of Chicago Press, vol. 37(4), pages 1141-1182.
    8. Joseph G. Altonji & Erica Blom & Costas Meghir, 2012. "Heterogeneity in Human Capital Investments: High School Curriculum, College Major, and Careers," Annual Review of Economics, Annual Reviews, vol. 4(1), pages 185-223, July.
    9. Claudia Olivetti & Eleonora Patacchini & Yves Zenou, 2020. "Mothers, Peers, and Gender-Role Identity," Journal of the European Economic Association, European Economic Association, vol. 18(1), pages 266-301.
    10. Juanna Schrøter Joensen & Helena Skyt Nielsen, 2016. "Mathematics and Gender: Heterogeneity in Causes and Consequences," Economic Journal, Royal Economic Society, vol. 126(593), pages 1129-1163, June.
    11. Diva Dhar & Tarun Jain & Seema Jayachandran, 2019. "Intergenerational Transmission of Gender Attitudes: Evidence from India," Journal of Development Studies, Taylor & Francis Journals, vol. 55(12), pages 2572-2592, December.
    12. repec:eee:labchp:v:3:y:1999:i:pc:p:3143-3259 is not listed on IDEAS
    13. Borghans, Lex & Groot, Loek, 1999. "Educational presorting and occupational segregation," Labour Economics, Elsevier, vol. 6(3), pages 375-395, September.
    14. David Figlio & Jonathan Guryan & Krzysztof Karbownik & Jeffrey Roth, 2014. "The Effects of Poor Neonatal Health on Children's Cognitive Development," American Economic Review, American Economic Association, vol. 104(12), pages 3921-3955, December.
    15. Fernández, Raquel, 2007. "Women, Work and Culture," CEPR Discussion Papers 6153, C.E.P.R. Discussion Papers.
    16. Taylor, Eric, 2014. "Spending more of the school day in math class: Evidence from a regression discontinuity in middle school," Journal of Public Economics, Elsevier, vol. 117(C), pages 162-181.
    17. Juanna Schrøter Joensen & Helena Skyt Nielsen, 2009. "Is there a Causal Effect of High School Math on Labor Market Outcomes?," Journal of Human Resources, University of Wisconsin Press, vol. 44(1).
    18. Francine D. Blau, 1992. "The Fertility of Immigrant Women: Evidence from High-Fertility Source Countries," NBER Chapters, in: Immigration and the Work Force: Economic Consequences for the United States and Source Areas, pages 93-134, National Bureau of Economic Research, Inc.
    19. Bisin, Alberto & Verdier, Thierry, 2001. "The Economics of Cultural Transmission and the Dynamics of Preferences," Journal of Economic Theory, Elsevier, vol. 97(2), pages 298-319, April.
    20. 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.
    21. 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.
    22. Borghans L. & Groot L., 1999. "Educational presorting as a cause of occupational segregation," ROA Research Memorandum 003, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    23. 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.
    24. 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.
    25. Joy, Lois, 2006. "Occupational differences between recent male and female college graduates," Economics of Education Review, Elsevier, vol. 25(2), pages 221-231, April.
    26. 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.
    27. Raquel Fernández, 2007. "Alfred Marshall Lecture Women, Work, and Culture," Journal of the European Economic Association, MIT Press, vol. 5(2-3), pages 305-332, 04-05.
    28. Giovanni Peri & Kevin Shih & Chad Sparber, 2016. "STEM Workers, H-1B Visas, and Productivity in US Cities," World Scientific Book Chapters, in: The Economics of International Migration, chapter 9, pages 277-307, World Scientific Publishing Co. Pte. Ltd..
    29. Cools, Angela & Patacchini, Eleonora, 2017. "Sibling Gender Composition and Women's Wages," IZA Discussion Papers 11001, Institute of Labor Economics (IZA).
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    More about this item

    Keywords

    Gender differences; Cultural transmission; Math performance;
    All these keywords.

    JEL classification:

    • A13 - General Economics and Teaching - - General Economics - - - Relation of Economics to Social Values
    • I20 - Health, Education, and Welfare - - Education - - - General
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • Z1 - Other Special Topics - - Cultural Economics

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