IDEAS home Printed from https://ideas.repec.org/p/fme/wpaper/3.html
   My bibliography  Save this paper

Gender beliefs and planned occupation: high school pupils and their parents

Author

Listed:
  • Magdalena Smyk

    (Group for Research in Applied Economics (GRAPE))

Abstract

Psychology and sociology literature suggests that the fact that women are less likely to work in STEM occupations may be caused by gender stereotypes related to differences in math and science abilities. In this study we test whether, particularly parents' beliefs are associated with their children's gender beliefs and with their choices of occupation. We show that the correlation between parents' and children's beliefs is strong. We use High School Longitudinal Study data - survey conducted among US 9th graders, their parents and teachers. Finally, we also test to what extend gender beliefs (parents' and own) correlate with planning to work in STEM fields by high-shool pupils. We find that girls are discouraged (and boys encouraged) by parents believing that boys are better in math and science, and that the effect of parent's beliefs are stronger than the effect of pupils' school achievements in math and science.

Suggested Citation

  • Magdalena Smyk, 2017. "Gender beliefs and planned occupation: high school pupils and their parents," GRAPE Working Papers 3, GRAPE Group for Research in Applied Economics.
  • Handle: RePEc:fme:wpaper:3
    as

    Download full text from publisher

    File URL: http://grape.org.pl/WP/3_Smyk_website.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Björklund, Anders & Salvanes, Kjell G., 2011. "Education and Family Background: Mechanisms and Policies," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 3, chapter 3, pages 201-247, Elsevier.
    2. 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.
    3. Umut Oguzoglu & Ozbeklik Serkan, 2016. "Like Father, Like Daughter (Unless There Is a Son): Sibling Sex Composition and Women's Stem Major Choice in College," Working Papers 596, Princeton University, Department of Economics, Industrial Relations Section..
    4. Prashant Bharadwaj & Giacomo de Giorgi & David Hansen & CHRISTOPHER NEILSON, 2012. "The Gender Gap in Mathematics: Evidence from Low-and-Middle Income Countries," Working Papers id:5155, eSocialSciences.
    5. 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.
    6. 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.
    Full references (including those not matched with items on IDEAS)

    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. Magdalena Smyk, 2017. "Gender occupational segregation: the role of parents," GRAPE Working Papers 4, GRAPE Group for Research in Applied Economics.
    2. Umut Oguzoglu & Ozbeklik Serkan, 2016. "Like Father, Like Daughter (Unless There Is a Son): Sibling Sex Composition and Women's Stem Major Choice in College," Working Papers 596, Princeton University, Department of Economics, Industrial Relations Section..
    3. 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.
    4. Karthik Muralidharan & Ketki Sheth, 2016. "Bridging Education Gender Gaps in Developing Countries: The Role of Female Teachers," Journal of Human Resources, University of Wisconsin Press, vol. 51(2), pages 269-297.
    5. Speer, Jamin D., 2017. "The gender gap in college major: Revisiting the role of pre-college factors," Labour Economics, Elsevier, vol. 44(C), pages 69-88.
    6. Moshe Justman & Susan J. Méndez, 2016. "Gendered Selection of STEM Subjects for Matriculation," Melbourne Institute Working Paper Series wp2016n10, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    7. Maria Knoth Humlum & Anne Brink Nandrup & Nina Smith, 2019. "Closing or reproducing the gender gap? Parental transmission, social norms and education choice," Journal of Population Economics, Springer;European Society for Population Economics, vol. 32(2), pages 455-500, April.
    8. Gordon B. Dahl & Dan-Olof Rooth & Anders Stenberg, 2024. "Intergenerational and Sibling Spillovers in High School Majors," American Economic Journal: Economic Policy, American Economic Association, vol. 16(3), pages 133-173, August.
    9. Prashant Bharadwaj & Giacomo De Giorgi & David Hansen & Christopher A. Neilson, 2016. "The Gender Gap in Mathematics: Evidence from Chile," Economic Development and Cultural Change, University of Chicago Press, vol. 65(1), pages 141-166.
    10. 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.
    11. Schindler, Dirk & Schjelderup, Guttorm, 2012. "Debt shifting and ownership structure," European Economic Review, Elsevier, vol. 56(4), pages 635-647.
    12. Eisenkopf, Gerald & Hessami, Zohal & Fischbacher, Urs & Ursprung, Heinrich W., 2015. "Academic performance and single-sex schooling: Evidence from a natural experiment in Switzerland," Journal of Economic Behavior & Organization, Elsevier, vol. 115(C), pages 123-143.
    13. 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).
    14. Shulamit Kahn & Donna Ginther, 2017. "Women and STEM," NBER Working Papers 23525, National Bureau of Economic Research, Inc.
    15. Pedro Bordalo & Katherine Coffman & Nicola Gennaioli & Andrei Shleifer, 2016. "Stereotypes," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1753-1794.
      • Pedro Bordalo & Katherine Coffman & Nicola Gennaioli & Andrei Shleifer, "undated". "Stereotypes," Working Paper 373306, Harvard University OpenScholar.
      • Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2014. "Stereotypes," NBER Working Papers 20106, National Bureau of Economic Research, Inc.
      • Pedro Bordalo & Katherine Coffman & Nicola Gennaioli & Andrei Shleifer, "undated". "Stereotypes," Working Paper 467407, Harvard University OpenScholar.
      • Pedro Bordalo & Katherine Coffman & Nicola Gennaioli & Andrei Shleifer, 2014. "Stereotypes," Working Paper 200246, Harvard University OpenScholar.
    16. Zenou, Yves & Hahn, Youjin & Hassani-Mahmooei, behrooz & Islam, Asad & Patacchini, Eleonora, 2016. "Do Friends Improve Female Education? The Case of Bangladesh," CEPR Discussion Papers 11615, C.E.P.R. Discussion Papers.
    17. Goodall, Amanda H. & Osterloh, Margit, 2015. "Women Have to Enter the Leadership Race to Win: Using Random Selection to Increase the Supply of Women into Senior Positions," IZA Discussion Papers 9331, Institute of Labor Economics (IZA).
    18. Michael J. Kottelenberg & Steven F. Lehrer, 2018. "Does Quebec’s subsidized child care policy give boys and girls an equal start?," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 51(2), pages 627-659, May.
    19. Dustmann, Christian & Ku, Hyejin & Kwak, Do Won, 2018. "Why Are Single-Sex Schools Successful?," Labour Economics, Elsevier, vol. 54(C), pages 79-99.
    20. Simone Balestra & Aurélien Sallin & Stefan C. Wolter, 2023. "High-Ability Influencers? The Heterogeneous Effects of Gifted Classmates," Journal of Human Resources, University of Wisconsin Press, vol. 58(2), pages 633-665.

    More about this item

    Keywords

    gender beliefs; choice of occupation; family; STEM; gender occupational segregation;
    All these keywords.

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:fme:wpaper:3. 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: Jan Hagemejer (email available below). General contact details of provider: https://edirc.repec.org/data/grauwpl.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.