IDEAS home Printed from https://ideas.repec.org/a/aea/apandp/v111y2021p179-83.html
   My bibliography  Save this article

The Family Origin of the Math Gender Gap Is a White Affluent Phenomenon

Author

Listed:
  • Gaia Dossi
  • David Figlio
  • Paola Giuliano
  • Paola Sapienza

Abstract

Previous research has shown that norms around the role of women in society could help explain the gender gap in mathematics and that these norms could be transmitted within the family. Using data from the Florida Department of Education combined with birth certificates, we uncover important heterogeneity in the transmission of gender biases within the family. We find that gender role norms can explain the lower performance of girls in mathematics only in relatively affluent White families, whereas they do not apparently matter for the performance of Black girls.

Suggested Citation

  • Gaia Dossi & David Figlio & Paola Giuliano & Paola Sapienza, 2021. "The Family Origin of the Math Gender Gap Is a White Affluent Phenomenon," AEA Papers and Proceedings, American Economic Association, vol. 111, pages 179-183, May.
  • Handle: RePEc:aea:apandp:v:111:y:2021:p:179-83
    DOI: 10.1257/pandp.20211124
    as

    Download full text from publisher

    File URL: https://www.aeaweb.org/doi/10.1257/pandp.20211124
    Download Restriction: no

    File URL: https://doi.org/10.3886/E139121V1
    Download Restriction: no

    File URL: https://www.aeaweb.org/doi/10.1257/pandp.20211124.appx
    Download Restriction: no

    File URL: https://www.aeaweb.org/doi/10.1257/pandp.20211124.ds
    Download Restriction: Access to full text is restricted to AEA members and institutional subscribers.

    File URL: https://libkey.io/10.1257/pandp.20211124?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. David Autor & David Figlio & Krzysztof Karbownik & Jeffrey Roth & Melanie Wasserman, 2019. "Family Disadvantage and the Gender Gap in Behavioral and Educational Outcomes," American Economic Journal: Applied Economics, American Economic Association, vol. 11(3), pages 338-381, July.
    5. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Holmlund, Helena & Rainer, Helmut & Reich, Patrick, 2023. "All geared towards success? Cultural origins of gender gaps in student achievement," Journal of Economic Behavior & Organization, Elsevier, vol. 209(C), pages 222-242.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Di Tommaso, Maria Laura & Contini, Dalit & De Rosa, Dalila & Ferrara, Francesca & Piazzalunga, Daniela & Robutti, Ornella, 2024. "Tackling the gender gap in mathematics with active learning methodologies," Economics of Education Review, Elsevier, vol. 100(C).
    2. Liwen Chen & Bobby Chung & Guanghua Wang, 2022. "Stay-at-Home Peer Mothers and Gender Norms: Short-run Effects on Educational Outcomes," Working Papers 2022-039, Human Capital and Economic Opportunity Working Group.
    3. Liwen Chen & Bobby W. Chung & Guanghua Wang, 2023. "Stay-at-Home Peer Mothers and Gender Norms: Short-run Effects on Educational Outcomes," Working Papers 2023-03, University of South Florida, Department of Economics.
    4. Huber, Stefanie J. & Paule-Paludkiewicz, Hannah, 2024. "Gender norms and the gender gap in higher education," Labour Economics, Elsevier, vol. 87(C).
    5. Holmlund, Helena & Rainer, Helmut & Reich, Patrick, 2023. "All geared towards success? Cultural origins of gender gaps in student achievement," Journal of Economic Behavior & Organization, Elsevier, vol. 209(C), pages 222-242.
    6. Das, Upasak & Singhal, Karan, 2023. "Solving it correctly: Prevalence and persistence of gender gap in basic mathematics in rural India," International Journal of Educational Development, Elsevier, vol. 96(C).
    7. 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.
    8. Shelly Lundberg, 2020. "Educational gender gaps," Southern Economic Journal, John Wiley & Sons, vol. 87(2), pages 416-439, October.
    9. Borra, Cristina & Iacovou, Maria & Sevilla, Almudena, 2023. "Adolescent development and the math gender gap," European Economic Review, Elsevier, vol. 158(C).
    10. Anne (A.C.) Gielen & Esmee Zwiers, 2018. "Biology and the gender gap in educational performance - The role of prenatal testosterone in test scores," Tinbergen Institute Discussion Papers 18-086/V, Tinbergen Institute.
    11. Deborah A. Cobb-Clark & Julie Moschion, 2017. "Gender gaps in early educational achievement," Journal of Population Economics, Springer;European Society for Population Economics, vol. 30(4), pages 1093-1134, October.
    12. Rodríguez-Planas, Nuria & Sanz-de-Galdeano, Anna & Terskaya, Anastasia, 2022. "Gender norms in high school: Impacts on risky behaviors from adolescence to adulthood," Journal of Economic Behavior & Organization, Elsevier, vol. 196(C), pages 429-456.
    13. Di Tommaso, Maria Laura & Contini, Dalit & De Rosa, Dalila & Piazzalunga, Daniela, 2020. "Tackling the Gender Gap in Math with Active Learning Teaching Practices," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202016, University of Turin.
    14. Delaney, Judith M. & Devereux, Paul J., 2019. "Understanding gender differences in STEM: Evidence from college applications✰," Economics of Education Review, Elsevier, vol. 72(C), pages 219-238.
    15. Dilmaghani, Maryam, 2021. "The gender gap in competitive chess across countries: Commanding queens in command economies," Journal of Comparative Economics, Elsevier, vol. 49(2), pages 425-441.
    16. Marcos Agurto & Sandra Buzinsky & Siddharth Hari & Valeria Quevedo & Sudipta Sarangi & Susana Vegas, 2020. "Academic Aptitude Signals and STEM field participation: A Regression Discontinuity Approach," Working Papers 2020-08, Lima School of Economics.
    17. Lippmann, Quentin & Senik, Claudia, 2018. "Math, girls and socialism," Journal of Comparative Economics, Elsevier, vol. 46(3), pages 874-888.
    18. Gevrek, Z. Eylem & Gevrek, Deniz & Neumeier, Christian, 2020. "Explaining the gender gaps in mathematics achievement and attitudes: The role of societal gender equality," Economics of Education Review, Elsevier, vol. 76(C).
    19. Shulamit Kahn & Donna Ginther, 2017. "Women and STEM," NBER Working Papers 23525, National Bureau of Economic Research, Inc.
    20. Aldén, Lina & Neuman, Emma, 2022. "Culture and the gender gap in choice of major: An analysis using sibling comparisons," Journal of Economic Behavior & Organization, Elsevier, vol. 201(C), pages 346-373.

    More about this item

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aea:apandp:v:111:y:2021:p:179-83. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Michael P. Albert (email available below). General contact details of provider: https://edirc.repec.org/data/aeaaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.