IDEAS home Printed from https://ideas.repec.org/p/ulp/sbbeta/2022-28.html
   My bibliography  Save this paper

Gendered professions, prestigious professions: when stereotypes condition career choices

Author

Listed:
  • Magali Jaoul-Grammare

Abstract

Despite social changes and the opening up of all professions to men and women, society continues to adhere to many stereotypes, and many professions are still considered to be feminine or masculine. In addition to gendered representations of occupations, there are also social representations linked to the social prestige associated with a profession. These two elements shape the study and professional choices of individuals. Based on this observation, the aim of this article is twofold: on the one hand, to study the representation of professions according to the degree of feminization and the degree of prestige; on the other hand, to measure the influence of the perceptions of professions on the individual choices of professional project. I use a questionnaire administered to secondary school pupils and students. The results obtained show a differentiated influence of stereotypes on career plans. It also appears that individuals tend to underrate the professions they consider ‘feminine’.

Suggested Citation

  • Magali Jaoul-Grammare, 2022. "Gendered professions, prestigious professions: when stereotypes condition career choices," Working Papers of BETA 2022-28, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
  • Handle: RePEc:ulp:sbbeta:2022-28
    as

    Download full text from publisher

    File URL: http://beta.u-strasbg.fr/WP/2022/2022-28.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Weiss, Yoram & Fershtman, Chaim, 1998. "Social status and economic performance:: A survey," European Economic Review, Elsevier, vol. 42(3-5), pages 801-820, May.
    2. Magali Jaoul-Grammare, 2018. "Why do young people make atypical gender-related study choices? An analysis of French master’s graduates," Working Papers of BETA 2018-39, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    3. Claude DIEBOLT & Magali JAOUL-GRAMMARE, 2019. "The Cliometric Model of Glutting: An Experimental Analysis," Working Papers of BETA 2019-01, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    4. Claude Diebolt & Magali Jaoul-Grammare, 2019. "An experimental analysis of the cliometric model of glutting," Education Economics, Taylor & Francis Journals, vol. 27(5), pages 546-556, September.
    5. Legewie, Joscha & DiPrete, Thomas A., 2014. "The High School Environment and the Gender Gap in Science and Engineering," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 87(4), pages 259-280.
    6. Phelps, Edmund S, 1972. "The Statistical Theory of Racism and Sexism," American Economic Review, American Economic Association, vol. 62(4), pages 659-661, September.
    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. Romane Frecheville-Faucon & Magali Jaoul-Grammare & Faustine Perrin, 2023. "Gender Inequalities: Progress and Challenges," Working Papers of BETA 2023-32, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    2. Romane Frecheville-Faucon & Magali Jaoul-Grammare & Faustine Perrin, 2023. "Gender Inequalities: Progress and Challenges," Working Papers 12-23, Association Française de Cliométrie (AFC).

    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. Empar Pons Blasco & Luisa Escriche Bertolín, 2009. "Who moves up the career ladder? A model of gender differences in job promotion," Working Papers. Serie AD 2009-23, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    2. Eva Schlenker, 2015. "The labour supply of women in STEM," IZA Journal of European Labor Studies, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-17, December.
    3. Joanna Tyrowicz & Lucas van der Velde, 2017. "When the opportunity knocks: large structural shocks and gender wage gaps," GRAPE Working Papers 2, GRAPE Group for Research in Applied Economics.
    4. Wouter Dessein & Alex Frankel & Navin Kartik, 2023. "Test-Optional Admissions," Papers 2304.07551, arXiv.org, revised Nov 2023.
    5. Bottazzi, Laura & Lusardi, Annamaria, 2021. "Stereotypes in financial literacy: Evidence from PISA," Journal of Corporate Finance, Elsevier, vol. 71(C).
    6. Cardoso, Ana Rute, 2012. "Money and rank in the labor market," Economics Letters, Elsevier, vol. 115(2), pages 325-328.
    7. Anthony Edo & Nicolas Jacquemet & Constantine Yannelis, 2019. "Language skills and homophilous hiring discrimination: Evidence from gender and racially differentiated applications," Review of Economics of the Household, Springer, vol. 17(1), pages 349-376, March.
    8. repec:mse:cesdoc:09059r is not listed on IDEAS
    9. Ye Zhang, 2020. "Discrimination in the Venture Capital Industry: Evidence from Field Experiments," Papers 2010.16084, arXiv.org, revised Aug 2022.
    10. Klumpp, Tilman & Su, Xuejuan, 2013. "Second-order statistical discrimination," Journal of Public Economics, Elsevier, vol. 97(C), pages 108-116.
    11. Pierre Fleckinger & Matthieu Glachant & Gabrielle Moineville, 2017. "Incentives for Quality in Friendly and Hostile Informational Environments," American Economic Journal: Microeconomics, American Economic Association, vol. 9(1), pages 242-274, February.
    12. Maria Kravtsova & Aleksey Oshchepkov, 2019. "Market And Network Corruption," HSE Working papers WP BRP 209/EC/2019, National Research University Higher School of Economics.
    13. Bryson, Alex & Chevalier, Arnaud, 2015. "Is there a taste for racial discrimination amongst employers?," Labour Economics, Elsevier, vol. 34(C), pages 51-63.
    14. Fang, Hanming & Norman, Peter, 2001. "Government-Mandated Discriminatory Policies," Working Paper Series 562, Research Institute of Industrial Economics.
    15. 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.
    16. Mathieu Bunel & Yannick L’Horty & Pascale Petit, 2016. "Discrimination based on place of residence and access to employment," Urban Studies, Urban Studies Journal Limited, vol. 53(2), pages 267-286, February.
    17. Jellal, Mohamed & Bouzahzah, Mohamed, 2012. "Croyances culturelles éducation et croissance [Cultural beliefs education and growth]," MPRA Paper 38763, University Library of Munich, Germany.
    18. Pritha Dev & Blessing U. Mberu & Roland Pongou, 2016. "Ethnic Inequality: Theory and Evidence from Formal Education in Nigeria," Economic Development and Cultural Change, University of Chicago Press, vol. 64(4), pages 603-660.
    19. Philippe Adair & Hassiba Gherbi, 2020. "The Youth Gender gap in North Africa: Income differentials and Informal Employment," Erudite Working Paper 2020-06, Erudite.
    20. Dileni Gunewardena & Abdoulaye Seck, 2020. "Heterogeneity in entrepreneurship in developing countries: Risk, credit, and migration and the entrepreneurial propensity of youth and women," Review of Development Economics, Wiley Blackwell, vol. 24(3), pages 713-725, August.
    21. Mick Brookes & Timothy Hinks & Duncan Watson, 2001. "Comparisons in Gender Wage Differentials and Discrimination between Germany and the United Kingdom," LABOUR, CEIS, vol. 15(3), pages 393-414, September.

    More about this item

    Keywords

    orientation inequalities; gendered professions; social prestige; stereotypes.;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

    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:ulp:sbbeta:2022-28. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/bestrfr.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.