IDEAS home Printed from https://ideas.repec.org/p/iae/iaewps/wp2016n10.html
   My bibliography  Save this paper

Gendered Selection of STEM Subjects for Matriculation

Author

Listed:
  • Moshe Justman

    (Department of Economics, Ben Gurion University; and Melbourne Institute of Applied Economic and Social Research, The University of Melbourne)

  • Susan J. Méndez

    (Melbourne Institute of Applied Economic and Social Research, The University of Melbourne)

Abstract

Women’s under-representation in high-paying jobs in engineering and information technology contributes substantially to the gender wage gap, reflecting similar patterns in higher education. We trace these patterns back to students’ choice of advanced science, technology, engineering, and mathematics (STEM) subjects in the final years of secondary school. We find large male majorities in physics, information technology and specialist mathematics; and large female majorities in life sciences and health and human development. The significant mathematical component in male-dominated fields has led many to assume that these patterns are driven by males’ absolute or comparative advantage in mathematics. We show that this is not the case. Linking data on Victorian Certificate of Education (VCE) subject choices to standardized test scores in seventh and ninth grades, we find that these patterns remain largely intact when comparing male and female students with similar prior achievement. We find little support for the comparative advantage hypothesis: in all STEM subjects except specialist mathematics students who excel in ninth-grade numeracy and reading choose STEM subjects more frequently than those who excel only in numeracy. We also find that socio-economic disadvantage adversely affects male students’ choice of STEM electives more than it affects female students.

Suggested Citation

  • 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.
  • Handle: RePEc:iae:iaewps:wp2016n10
    as

    Download full text from publisher

    File URL: http://melbourneinstitute.unimelb.edu.au/downloads/working_paper_series/wp2016n10.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cobb-Clark, Deborah A. & Tan, Michelle, 2011. "Noncognitive skills, occupational attainment, and relative wages," Labour Economics, Elsevier, vol. 18(1), pages 1-13, January.
    2. Elisa Rose Birch & Ian Li & Paul W. Miller, 2009. "The Influences of Institution Attended and Field of Study on Graduates' Starting Salaries," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 42(1), pages 42-63, March.
    3. Booth, Alison & Cardona-Sosa, Lina & Nolen, Patrick, 2014. "Gender differences in risk aversion: Do single-sex environments affect their development?," Journal of Economic Behavior & Organization, Elsevier, vol. 99(C), pages 126-154.
    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. Benoît Rapoport & Claire Thibout, 2016. "Why Do Boys and Girls Make Different Educational Choices? The Influence of Expected Earnings and Test Scores," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01477693, HAL.
    6. Arcidiacono, Peter, 2004. "Ability sorting and the returns to college major," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 343-375.
    7. Benoît Rapoport & Claire Thibout, 2016. "Why Do Boys and Girls Make Different Educational Choices? The Influence of Expected Earnings and Test Scores," Working Papers hal-01477693, HAL.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Thomas Buser & Muriel Niederle & Hessel Oosterbeek, 2014. "Gender, Competitiveness, and Career Choices," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(3), pages 1409-1447.
    13. 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.
    14. 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.
    15. 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.
    16. Sarah E. Turner & William G. Bowen, 1999. "Choice of Major: The Changing (Unchanging) Gender Gap," ILR Review, Cornell University, ILR School, vol. 52(2), pages 289-313, January.
    17. Uri Gneezy & Kenneth L. Leonard & John A. List, 2009. "Gender Differences in Competition: Evidence From a Matrilineal and a Patriarchal Society," Econometrica, Econometric Society, vol. 77(5), pages 1637-1664, September.
    18. 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.
    19. 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.
    20. Altonji, Joseph G, 1993. "The Demand for and Return to Education When Education Outcomes Are Uncertain," Journal of Labor Economics, University of Chicago Press, vol. 11(1), pages 48-83, January.
    21. Basit Zafar, 2013. "College Major Choice and the Gender Gap," Journal of Human Resources, University of Wisconsin Press, vol. 48(3), pages 545-595.
    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. Huong Thu Le & Ha Trong Nguyen, 2018. "The evolution of the gender test score gap through seventh grade: new insights from Australia using unconditional quantile regression and decomposition," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-42, December.
    2. Chris Ryan, 2016. "The Attitudes of Boys and Girls towards Science and Mathematics as They Progress through School in Australia," Melbourne Institute Working Paper Series wp2016n24, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    3. Rapoport, Benoît & Thibout, Claire, 2018. "Why do boys and girls make different educational choices? The influence of expected earnings and test scores," Economics of Education Review, Elsevier, vol. 62(C), pages 205-229.

    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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Fernando Saltiel, 2019. "What's Math Got to Do With It? Multidimensional Ability and the Gender Gap in STEM," 2019 Meeting Papers 1201, Society for Economic Dynamics.
    7. Delaney, Judith M. & Devereux, Paul J., 2019. "It's Not Just for Boys! Understanding Gender Differences in STEM," IZA Discussion Papers 12176, Institute of Labor Economics (IZA).
    8. Friedman-Sokuler, Naomi & Justman, Moshe, 2020. "Gender, culture and STEM: Counter-intuitive patterns in Arab society," Economics of Education Review, Elsevier, vol. 74(C).
    9. Rapoport, Benoît & Thibout, Claire, 2018. "Why do boys and girls make different educational choices? The influence of expected earnings and test scores," Economics of Education Review, Elsevier, vol. 62(C), pages 205-229.
    10. Devereux, Paul J. & Delaney, Judith, 2019. "Understanding Gender Differences in STEM: Evidence from College Applications," CEPR Discussion Papers 13558, C.E.P.R. Discussion Papers.
    11. Lippmann, Quentin & Senik, Claudia, 2018. "Math, girls and socialism," Journal of Comparative Economics, Elsevier, vol. 46(3), pages 874-888.
    12. Jia, Ning, 2021. "Do stricter high school math requirements raise college STEM attainment?," Economics of Education Review, Elsevier, vol. 83(C).
    13. Mcnally, Sandra, 2020. "Gender differences in tertiary education: what explains STEM participation," LSE Research Online Documents on Economics 108232, London School of Economics and Political Science, LSE Library.
    14. Izaskun Zuazu, 2020. "Graduates’ Opium? Cultural Values, Religiosity and Gender Segregation by Field of Study," Social Sciences, MDPI, vol. 9(8), pages 1-27, July.
    15. Zuazu-Bermejo, Izaskun, 2020. "Graduates’ opium? Cultural values, religiosity and gender segregation by field of study," OSF Preprints yn23j, Center for Open Science.
    16. 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.
    17. Dickerson, Andy & McIntosh, Steven & Valente, Christine, 2015. "Do the maths: An analysis of the gender gap in mathematics in Africa," Economics of Education Review, Elsevier, vol. 46(C), pages 1-22.
    18. 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.
    19. Shulamit Kahn & Donna Ginther, 2017. "Women and STEM," NBER Working Papers 23525, National Bureau of Economic Research, Inc.
    20. 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.

    More about this item

    Keywords

    Gender streaming; STEM subjects; gender gap in mathematics; secondary school; Australia;
    All these keywords.

    JEL classification:

    • I2 - Health, Education, and Welfare - - Education
    • 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

    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:iae:iaewps:wp2016n10. 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: Sheri Carnegie (email available below). General contact details of provider: https://edirc.repec.org/data/mimelau.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.