IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/8964.html
   My bibliography  Save this paper

Where the boys aren't: Non-cognitive skills, returns to school and the gender gap in higher education

Author

Listed:
  • Brian A. Jacob

Abstract

Nearly 60 percent of college students today are women. Using longitudinal data on a nationally representative cohort of eighth grade students in 1988, I examine two potential explanations for the differential attendance rates of men and women -- returns to schooling and non-cognitive skills. The attendance gap is roughly five percentage points for all high school graduates. Conditional on attendance, however, there are few differences in type of college, enrollment status or selectivity of institution. The majority of the attendance gap can be explained by differences in the characteristics of men and women, despite some gender differences in the determinants of college attendance. I find that higher non-cognitive skills and college premiums among women account for nearly 90 percent of the gender gap in higher education. Interestingly, non-cognitive factors continue to influence college enrollment after controlling for high school achievement.

Suggested Citation

  • Brian A. Jacob, 2002. "Where the boys aren't: Non-cognitive skills, returns to school and the gender gap in higher education," NBER Working Papers 8964, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:8964
    Note: CH ED
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w8964.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kevin M. Murphy & Finis Welch, 1992. "The Structure of Wages," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(1), pages 285-326.
    2. F. L. Jones, 1983. "On Decomposing the Wage Gap: A Critical Comment on Blinder's Method," Journal of Human Resources, University of Wisconsin Press, vol. 18(1), pages 126-130.
    3. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    4. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    5. Reimers, Cordelia W, 1983. "Labor Market Discrimination against Hispanic and Black Men," The Review of Economics and Statistics, MIT Press, vol. 65(4), pages 570-579, November.
    6. David Neumark, 1988. "Employers' Discriminatory Behavior and the Estimation of Wage Discrimination," Journal of Human Resources, University of Wisconsin Press, vol. 23(3), pages 279-295.
    7. Murnane, Richard J & Willett, John B & Levy, Frank, 1995. "The Growing Importance of Cognitive Skills in Wage Determination," The Review of Economics and Statistics, MIT Press, vol. 77(2), pages 251-266, May.
    8. Oaxaca, Ronald L. & Ransom, Michael R., 1994. "On discrimination and the decomposition of wage differentials," Journal of Econometrics, Elsevier, vol. 61(1), pages 5-21, March.
    9. 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.
    10. Ronald L. Oaxaca & Michael R. Ransom, 1999. "Identification in Detailed Wage Decompositions," The Review of Economics and Statistics, MIT Press, vol. 81(1), pages 154-157, February.
    11. Levy, Frank & Murnane, Richard J, 1992. "U.S. Earnings Levels and Earnings Inequality: A Review of Recent Trends and Proposed Explanations," Journal of Economic Literature, American Economic Association, vol. 30(3), pages 1333-1381, September.
    12. Cotton, Jeremiah, 1988. "On the Decomposition of Wage Differentials," The Review of Economics and Statistics, MIT Press, vol. 70(2), pages 236-243, May.
    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. Jacob, Brian A., 2002. "Where the boys aren't: non-cognitive skills, returns to school and the gender gap in higher education," Economics of Education Review, Elsevier, vol. 21(6), pages 589-598, December.
    2. C Dougherty, 2003. "Why is the Rate of Return to Schooling Higher For Women Than For Men?," CEP Discussion Papers dp0581, Centre for Economic Performance, LSE.
    3. Dougherty, Christopher, 2003. "Why is the rate of return to schooling higher for women than for men?," LSE Research Online Documents on Economics 20034, London School of Economics and Political Science, LSE Library.
    4. Sonja C. Kassenboehmer & Mathias G. Sinning, 2014. "Distributional Changes in the Gender Wage Gap," ILR Review, Cornell University, ILR School, vol. 67(2), pages 335-361, April.
    5. Ronald Bachmann & Mathias Sinning, 2016. "Decomposing the Ins and Outs of Cyclical Unemployment," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(6), pages 853-876, December.
    6. Stewart Williams, Jennifer Anne, 2009. "Using non-linear decomposition to explain the discriminatory effects of male-female differentials in access to care: A cardiac rehabilitation case study," Social Science & Medicine, Elsevier, vol. 69(7), pages 1072-1079, October.
    7. Ben Jann, 2008. "A Stata implementation of the Blinder-Oaxaca decomposition," ETH Zurich Sociology Working Papers 5, ETH Zurich, Chair of Sociology, revised 14 May 2008.
    8. Dominique Meurs & Sophie Ponthieux, 2006. "L'écart des salaires entre les femmes et les hommes peut-il encore baisser ?," Économie et Statistique, Programme National Persée, vol. 398(1), pages 99-129.
    9. Babacar Sarr, 2016. "What Are the Drivers of Fiscal Performance Gaps between Anglophone and Francophone Africa? A Blinder–Oaxaca Decomposition," South African Journal of Economics, Economic Society of South Africa, vol. 84(1), pages 40-62, March.
    10. Fortin, Nicole & Lemieux, Thomas & Firpo, Sergio, 2011. "Decomposition Methods in Economics," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 1, pages 1-102, Elsevier.
    11. Christopher Dougherty, 2005. "Why Are the Returns to Schooling Higher for Women than for Men?," Journal of Human Resources, University of Wisconsin Press, vol. 40(4), pages 969-988.
    12. Adam Pilny, 2017. "Explaining Differentials in Subsidy Levels Among Hospital Ownership Types in Germany," Health Economics, John Wiley & Sons, Ltd., vol. 26(5), pages 566-581, May.
    13. Zhang, Li & Sharpe, Rhonda Vonshay & Li, Shi & Darity, William A., 2016. "Wage differentials between urban and rural-urban migrant workers in China," China Economic Review, Elsevier, vol. 41(C), pages 222-233.
    14. Engelbert Theurl & Hannes Winner, 2011. "The male–female gap in physician earnings: evidence from a public health insurance system," Health Economics, John Wiley & Sons, Ltd., vol. 20(10), pages 1184-1200, October.
    15. ChangHwan Kim, 2010. "Decomposing the Change in the Wage Gap Between White and Black Men Over Time, 1980-2005: An Extension of the Blinder-Oaxaca Decomposition Method," Sociological Methods & Research, , vol. 38(4), pages 619-651, May.
    16. Niels-Hugo Blunch, 2015. "Bound to lose, bound to win? The financial crisis and the informal-formal sector earnings gap in Serbia," IZA Journal of Labor & Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-34, December.
    17. Jan Saarela & Fjalar Finnäs, 2004. "Interethnic Wage Variation in the Helsinki Area," Finnish Economic Papers, Finnish Economic Association, vol. 17(1), pages 35-48, Spring.
    18. Wun-Ji Jiang & Yir-Hueih Luh, 2017. "Gender digital divide in a patriarchal society: what can we learn from Blinder–Oaxaca decomposition?," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(6), pages 2555-2576, November.
    19. Niels-Hugo Blunch & Maitreyi Bordia Das, 2015. "Changing norms about gender inequality in education: Evidence from Bangladesh," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 32(6), pages 183-218.
    20. Liu, Hong & Fang, Hai & Zhao, Zhong, 2013. "Urban–rural disparities of child health and nutritional status in China from 1989 to 2006," Economics & Human Biology, Elsevier, vol. 11(3), pages 294-309.

    More about this item

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • 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:nbr:nberwo:8964. 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/nberrus.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.