IDEAS home Printed from https://ideas.repec.org/p/pre/wpaper/202235.html
   My bibliography  Save this paper

Family, External Environment and Gender Attitudes: Evidence from Students' Survey

Author

Listed:
  • Tendai Zawaira

    (Department of Economics, University of Pretoria, Private Bag X20, Hatfield 0028, South Africa)

  • Matthew W. Clance

    (Department of Economics, University of Pretoria, Private Bag X20, Hatfield 0028, South Africa)

  • Carolyn Chisadza

    (Department of Economics, University of Pretoria, Private Bag X20, Hatfield 0028, South Africa)

Abstract

We use student survey data to investigate the role of family and environmental influences in shaping gender attitudes within young adults. Our main objective is to test if there is correlation between explicit and implicit gender attitudes amongst this group. We found that although levels of implicit bias (note that we define implicit bias as a stronger association towards men with careers and women with family or higher positive IAT scores.) vary systematically with other demographic characteristics, there is not a consistent correlation between implicit and explicit gender attitudes. We also found that females hold more rigid implicit traditional gender role ideology compared to the males even though females are more likely than males to explicitly lobby for gender equality. We also show that to some degree, the media in its current state has helped reinforce rather than challenge traditional gender role ideology. Individuals who spend more time on social media were found to have more implicit bias than those who spend less time on these platforms. Overall, these results suggest that in order to effectively tackle gender inequality, a wider policy approach is required, one that can address some of these factors that contribute to gender unequal outcomes.

Suggested Citation

  • Tendai Zawaira & Matthew W. Clance & Carolyn Chisadza, 2022. "Family, External Environment and Gender Attitudes: Evidence from Students' Survey," Working Papers 202235, University of Pretoria, Department of Economics.
  • Handle: RePEc:pre:wpaper:202235
    as

    Download full text from publisher

    File URL: http://www.up.ac.za/media/shared/61/WP/wp_2022_35.zp222691.pdf
    Download Restriction: no
    ---><---

    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. Ernesto Reuben & Matthew Wiswall & Basit Zafar, 2017. "Preferences and Biases in Educational Choices and Labour Market Expectations: Shrinking the Black Box of Gender," Economic Journal, Royal Economic Society, vol. 127(604), pages 2153-2186, September.
    3. Rooth, Dan-Olof, 2010. "Automatic associations and discrimination in hiring: Real world evidence," Labour Economics, Elsevier, vol. 17(3), pages 523-534, June.
    4. Dimitar Nikolov & Mounia Lalmas & Alessandro Flammini & Filippo Menczer, 2019. "Quantifying Biases in Online Information Exposure," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 70(3), pages 218-229, March.
    5. Seguino, Stephanie, 2011. "Help or Hindrance? Religion's Impact on Gender Inequality in Attitudes and Outcomes," World Development, Elsevier, vol. 39(8), pages 1308-1321, August.
    6. Platt, Lucinda & Polavieja, Javier, 2016. "Saying and doing gender: intergenerational transmission of attitudes towards the sexual division of labour," LSE Research Online Documents on Economics 67302, London School of Economics and Political Science, LSE Library.
    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. J. Michelle Brock & Ralph De Haas, 2023. "Discriminatory Lending: Evidence from Bankers in the Lab," American Economic Journal: Applied Economics, American Economic Association, vol. 15(2), pages 31-68, April.
    2. Barron, Kai & Ditlmann, Ruth & Gehrig, Stefan & Schweighofer-Kodritsch, Sebastian, 2020. "Explicit and implicit belief-based gender discrimination: A hiring experiment," Discussion Papers, Research Unit: Economics of Change SP II 2020-306, WZB Berlin Social Science Center.
    3. Boneva, Teodora & Buser, Thomas & Falk, Armin & Kosse, Fabian, 2021. "The Origins of Gender Differences in Competitiveness and Earnings Expectations: Causal Evidence from a Mentoring Intervention," Rationality and Competition Discussion Paper Series 295, CRC TRR 190 Rationality and Competition.
    4. Paredes, Valentina & Paserman, M. Daniele & Pino, Francisco J., 2020. "Does Economics Make You Sexist?," IZA Discussion Papers 13223, Institute of Labor Economics (IZA).
    5. Julia Philipp, 2023. "Gendered university major choice: the role of intergenerational transmission," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(2), pages 1049-1097, April.
    6. Elisabeth Grewenig & Philipp Lergetporer & Katharina Werner, 2020. "Gender Norms and Labor-Supply Expectations: Experimental Evidence from Adolescents," CESifo Working Paper Series 8611, CESifo.
    7. Delaney, Judith M. & Devereux, Paul J., 2021. "Gender and Educational Achievement: Stylized Facts and Causal Evidence," IZA Discussion Papers 14074, Institute of Labor Economics (IZA).
    8. Kondylis,Florence & Legovini,Arianna & Vyborny,Kate & Zwager,Astrid Maria Theresia & Cardoso De Andrade,Luiza, 2020. "Demand for Safe Spaces : Avoiding Harassment and Stigma," Policy Research Working Paper Series 9269, The World Bank.
    9. Delfino, Alexia, 2021. "Breaking Gender Barriers: Experimental Evidence on Men in Pink-Collar Jobs," IZA Discussion Papers 14083, Institute of Labor Economics (IZA).
    10. Francesca Gioia & Giovanni Immordino, 2023. "Gender-science Implicit Association and Employment Decisions," CSEF Working Papers 681, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    11. Dominique Cappelletti & Maria Vittoria Levati & Matteo Ploner, 2022. "Math ability, gender stereotypes about math ability, and educational choices. Combining experimental and survey data," Working Papers 07/2022, University of Verona, Department of Economics.
    12. Bottazzi, Laura & Lusardi, Annamaria, 2021. "Stereotypes in financial literacy: Evidence from PISA," Journal of Corporate Finance, Elsevier, vol. 71(C).
    13. Niklas Potrafke, 2016. "Policies against human trafficking: the role of religion and political institutions," Economics of Governance, Springer, vol. 17(4), pages 353-386, November.
    14. Dreber, Anna & Heikensten, Emma & Säve-Söderbergh, Jenny, 2022. "Why do women ask for less?," Labour Economics, Elsevier, vol. 78(C).
    15. Delaney, Judith M. & Devereux, Paul J., 2021. "High School Rank in Math and English and the Gender Gap in STEM," Labour Economics, Elsevier, vol. 69(C).
    16. Quitterie Roquebert & Jonathan Sicsic & Thomas Rapp, 2021. "Health measures and long-term care use in the European frail population," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(3), pages 405-423, April.
    17. 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.
    18. Gordon B. Dahl & Matthew Knepper, 2023. "Age Discrimination across the Business Cycle," American Economic Journal: Economic Policy, American Economic Association, vol. 15(4), pages 75-112, November.
    19. Kerstin Grosch & Simone Haeckl & Martin G. Kocher, 2022. "Closing the Gender STEM Gap - A Large-Scale Randomized-Controlled Trial in Elementary Schools," CESifo Working Paper Series 9907, CESifo.
    20. Oriana Bandiera & Nidhi Parekh & Barbara Petrongolo & Michelle Rao, 2022. "Men are from Mars, and Women Too: A Bayesian Meta‐analysis of Overconfidence Experiments," Economica, London School of Economics and Political Science, vol. 89(S1), pages 38-70, June.

    More about this item

    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:pre:wpaper:202235. 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: Rangan Gupta (email available below). General contact details of provider: https://edirc.repec.org/data/decupza.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.