IDEAS home Printed from https://ideas.repec.org/p/aah/aarhec/2013-01.html
   My bibliography  Save this paper

Math and Gender: Is Math a Route to a High-Powered Career?

Author

Listed:
  • Juanna Schrøter Joensen

    (Stockholm School of Economics, Sweden)

  • Helena Skyt Nielsen

    (Department of Economics and Business, Aarhus University, Denmark)

Abstract

There is a large gender gap in advanced math coursework in high school that many believe exists because girls are discouraged from taking math courses. In this paper, we exploit an institutional change that reduced the costs of acquiring advanced high school math to determine if access is, in fact, the mechanism - in particular for girls at the top of the math ability distribution. By estimating marginal treatment effects of acquiring advanced math qualifications, we document substantial beneficial wage effects from encouraging even more females to opt for these qualifications. Our analysis suggests that the beneficial effect comes from accelerating graduation and attracting females to high-paid or traditionally male-dominated career tracks and to CEO positions. Our results may be reconciled with experimental and empirical evidence suggesting there is a pool of unexploited math talent among high ability girls that may be retrieved by changing the institutional set-up of math teaching.

Suggested Citation

  • Juanna Schrøter Joensen & Helena Skyt Nielsen, 2013. "Math and Gender: Is Math a Route to a High-Powered Career?," Economics Working Papers 2013-01, Department of Economics and Business Economics, Aarhus University.
  • Handle: RePEc:aah:aarhec:2013-01
    as

    Download full text from publisher

    File URL: https://repec.econ.au.dk/repec/afn/wp/13/wp13_01.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Claudia Goldin & Lawrence F. Katz & Ilyana Kuziemko, 2006. "The Homecoming of American College Women: The Reversal of the College Gender Gap," Journal of Economic Perspectives, American Economic Association, vol. 20(4), pages 133-156, Fall.
    2. Freeman, Richard B. & Goroff, Daniel L (ed.), 2009. "Science and Engineering Careers in the United States," National Bureau of Economic Research Books, University of Chicago Press, number 9780226261898, October.
    3. 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).
    4. Bedard, Kelly & Cho, Insook, 2010. "Early gender test score gaps across OECD countries," Economics of Education Review, Elsevier, vol. 29(3), pages 348-363, June.
    5. 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.
    6. James J. Heckman & Sergio Urzua & Edward Vytlacil, 2006. "Understanding Instrumental Variables in Models with Essential Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 88(3), pages 389-432, August.
    7. Marianne Bertrand & Claudia Goldin & Lawrence F. Katz, 2010. "Dynamics of the Gender Gap for Young Professionals in the Financial and Corporate Sectors," American Economic Journal: Applied Economics, American Economic Association, vol. 2(3), pages 228-255, July.
    8. 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.
    9. Muriel Niederle & Lise Vesterlund, 2007. "Do Women Shy Away From Competition? Do Men Compete Too Much?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 1067-1101.
    10. Nina Smith & Valdemar Smith & Mette Verner, 2013. "Why are So Few Females Promoted into CEO and Vice President Positions? Danish Empirical Evidence, 1997–2007," ILR Review, Cornell University, ILR School, vol. 66(2), pages 380-408, April.
    11. Muriel Niederle & Lise Vesterlund, 2010. "Explaining the Gender Gap in Math Test Scores: The Role of Competition," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 129-144, Spring.
    12. Paglin, Morton & Rufolo, Anthony M, 1990. "Heterogeneous Human Capital, Occupational Choice, and Male-Female Earnings Differences," Journal of Labor Economics, University of Chicago Press, vol. 8(1), pages 123-144, January.
    13. Palomino, Frédéric & Peyrache, Eloïc & ÖRS, Evren, 2008. "Performance Gender-Gap: Does Competition Matter?," CEPR Discussion Papers 6891, C.E.P.R. Discussion Papers.
    14. Smith, Nina & Smith, Valdemar & Verner, Mette, 2011. "Why Are So Few Females Promoted into CEO and Vice-President Positions? Danish Empirical Evidence 1997-2007," IZA Discussion Papers 5961, Institute of Labor Economics (IZA).
    15. Donna K. Ginther & Shulamit Kahn, 2004. "Women in Economics: Moving Up or Falling Off the Academic Career Ladder?," Journal of Economic Perspectives, American Economic Association, vol. 18(3), pages 193-214, Summer.
    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. Anna Dreber & Emma Essen & Eva Ranehill, 2014. "Gender and competition in adolescence: task matters," Experimental Economics, Springer;Economic Science Association, vol. 17(1), pages 154-172, March.
    2. Elena Mattana & Juanna Joensen, 2014. "Student Aid, Academic Achievement, and Labor Market Behavior: Grants or Loans?," 2014 Meeting Papers 707, Society for Economic Dynamics.

    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. Juanna Joensen, 2012. "Math and Gender: What if Girls Do Math?," 2012 Meeting Papers 992, Society for Economic Dynamics.
    2. Doris, Aedín & O’Neill, Donal & Sweetman, Olive, 2013. "Gender, single-sex schooling and maths achievement," Economics of Education Review, Elsevier, vol. 35(C), pages 104-119.
    3. Gielen, Anne C. & Zwiers, Esmée, 2018. "Biology and the Gender Gap in Educational Performance: The Role of Prenatal Testosterone in Test Scores," IZA Discussion Papers 11936, Institute of Labor Economics (IZA).
    4. Shi, Ying, 2018. "The puzzle of missing female engineers: Academic preparation, ability beliefs, and preferences," Economics of Education Review, Elsevier, vol. 64(C), pages 129-143.
    5. Lippmann, Quentin & Senik, Claudia, 2018. "Math, girls and socialism," Journal of Comparative Economics, Elsevier, vol. 46(3), pages 874-888.
    6. Francine D. Blau & Lawrence M. Kahn, 2017. "The Gender Wage Gap: Extent, Trends, and Explanations," Journal of Economic Literature, American Economic Association, vol. 55(3), pages 789-865, September.
    7. Farré, Lídia & Ortega, Francesc, 2021. "Family Ties, Geographic Mobility and the Gender Gap in Academic Aspirations," IZA Discussion Papers 14561, Institute of Labor Economics (IZA).
    8. Lenka Fiala & John Eric Humphries & Juanna Schrøter Joensen & Uditi Karna & John A. List & Gregory F. Veramendi, 2022. "How Early Adolescent Skills and Preferences Shape Economics Education Choices," AEA Papers and Proceedings, American Economic Association, vol. 112, pages 609-613, May.
    9. 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.
    10. Quentin Lippmann & Claudia Senik, 2018. "Math, Girls and Socialism," Working Papers halshs-01387272, HAL.
    11. Friedman-Sokuler, Naomi & Justman, Moshe, 2016. "Gender streaming and prior achievement in high school science and mathematics," Economics of Education Review, Elsevier, vol. 53(C), pages 230-253.
    12. Justman, Moshe & Méndez, Susan J., 2018. "Gendered choices of STEM subjects for matriculation are not driven by prior differences in mathematical achievement," Economics of Education Review, Elsevier, vol. 64(C), pages 282-297.
    13. 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.
    14. Thomas (T.) Buser & Noemi Peter & Stefan Wolter, 2017. "Gender, Willingness to Compete and Career Choices Along the Whole Ability Distribution," Tinbergen Institute Discussion Papers 17-081/I, Tinbergen Institute.
    15. Laura Hospido & Luc Laeven & Ana Lamo, 2022. "The Gender Promotion Gap: Evidence from Central Banking," The Review of Economics and Statistics, MIT Press, vol. 104(5), pages 981-996, December.
    16. Prashant Bharadwaj & Giacomo De Giorgi & David Hansen & Christopher Neilson, 2012. "The Gender Gap in Mathematics: Evidence from Low- and Middle-Income Countries," NBER Working Papers 18464, National Bureau of Economic Research, Inc.
    17. Lavy, Victor & Sand, Edith, 2015. "On The Origins of Gender Human Capital Gaps: Short and Long Term Consequences of Teachers’ Stereotypical Biases," The Warwick Economics Research Paper Series (TWERPS) 1085, University of Warwick, Department of Economics.
    18. YAGASAKI Masayuki & NAKAMURO Makiko, 2018. "Competitiveness, Risk Attitudes, and the Gender Gap in Math Achievement," Discussion papers 18066, Research Institute of Economy, Trade and Industry (RIETI).
    19. Lovász, Anna & Bat-Erdene, Boldmaa & Cukrowska-Torzewska, Ewa & Rigó, Mariann & Szabó-Morvai, Ágnes, 2023. "Competition, subjective feedback, and gender gaps in performance," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 102(C).
    20. Thomas Breda & Julien Grenet & Marion Monnet & Clémentine van Effenterre, 2023. "How Effective are Female Role Models in Steering Girls towards STEM? Evidence from French High Schools," PSE Working Papers halshs-01713068, HAL.

    More about this item

    Keywords

    Math; gender; career choice; high school curriculum; instrumental variable;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • 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:aah:aarhec:2013-01. 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: http://www.econ.au.dk/afn/ .

    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.