[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp2552.html
   My bibliography  Save this paper

Choice of Fields of Study of Canadian University Graduates: The Role of Gender and their Parents’ Education

Author

Listed:
  • Boudarbat, Brahim

    (University of Montreal)

  • Montmarquette, Claude

    (University of Montreal)

Abstract
This paper examines the determinants of the choice of field of study by university students using data from the Canadian National Graduate Survey. The sample of 18,708 graduates holding a Bachelor degree is interesting in itself knowing that these students completed their study and thus represent a pool of high quality individuals. What impact expected post-graduation lifetime earnings have in choosing their field of study respectively to their non pecuniary preferences? Are these individuals less or more influenced by monetary incentives on their decision than was found in previous literature with samples of university students not all completing their studies successfully? Unlike existing studies, we account for the probability that students will be able to find employment related to their field of study when evaluating lifetime earnings after graduation. The parameters that drive students’ choices of fields of study are estimated using a mixed multinomial logit model applied to seven broadly defined fields. Results indicate that the weight put by a student on initial earnings and earnings’ rate of growth earnings depends upon the education level of the parent of the same gender. Surprisingly, lifetime earnings have no statistically significant impact when the parent of the same gender as the student has a university education. Results show that men are, in general, more sensitive than women to initial income variations, whilst women are more sensitive than men to the earnings’ rate of growth variations. Marital status, enrolment status and the vocation identified with each field of study are influential factors in students’ choices. From a policy perspective, a substantial increase in lifetime earnings, while all other factors remain constant, would be necessary to draw students into fields of study they are not inclined to choose initially.

Suggested Citation

  • Boudarbat, Brahim & Montmarquette, Claude, 2007. "Choice of Fields of Study of Canadian University Graduates: The Role of Gender and their Parents’ Education," IZA Discussion Papers 2552, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp2552
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp2552.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Willis, Robert J & Rosen, Sherwin, 1979. "Education and Self-Selection," Journal of Political Economy, University of Chicago Press, vol. 87(5), pages 7-36, October.
    2. 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.
    3. Arcidiacono, Peter, 2004. "Ability sorting and the returns to college major," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 343-375.
    4. Card, David, 1999. "The causal effect of education on earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 30, pages 1801-1863, Elsevier.
    5. Lee, Lung-Fei, 1983. "Generalized Econometric Models with Selectivity," Econometrica, Econometric Society, vol. 51(2), pages 507-512, March.
    6. Montmarquette, Claude & Cannings, Kathy & Mahseredjian, Sophie, 2002. "How do young people choose college majors?," Economics of Education Review, Elsevier, vol. 21(6), pages 543-556, December.
    7. Boudarbat, Brahim, 2004. "Earnings and Community College Field of Study Choice in Canada," IZA Discussion Papers 1156, Institute of Labor Economics (IZA).
    8. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    9. O. Ashenfelter & D. Card (ed.), 1999. "Handbook of Labor Economics," Handbook of Labor Economics, Elsevier, edition 1, volume 3, number 3.
    10. Blakemore, Arthur E & Low, Stuart A, 1984. "Sex Differences in Occupational Selection: The Case of College Majors," The Review of Economics and Statistics, MIT Press, vol. 66(1), pages 157-163, February.
    11. Borghans, Lex & Groot, Loek, 1999. "Educational presorting and occupational segregation," Labour Economics, Elsevier, vol. 6(3), pages 375-395, September.
    12. Lee, Lung-Fei, 1978. "Unionism and Wage Rates: A Simultaneous Equations Model with Qualitative and Limited Dependent Variables," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 19(2), pages 415-433, June.
    13. Solomon William Polachek, 1978. "Sex Differences in College Major," ILR Review, Cornell University, ILR School, vol. 31(4), pages 498-508, July.
    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. Ismaël Mourifié & Marc Henry & Romuald Méango, 2020. "Sharp Bounds and Testability of a Roy Model of STEM Major Choices," Journal of Political Economy, University of Chicago Press, vol. 128(8), pages 3220-3283.
    2. Freeman, James A. & Hirsch, Barry T., 2008. "College majors and the knowledge content of jobs," Economics of Education Review, Elsevier, vol. 27(5), pages 517-535, October.
    3. Heather Antecol & Deborah Cobb-Clark, 2010. "Do Non-cognitive Skills Help Explain the Occupational Segregation of Young People?," Melbourne Institute Working Paper Series wp2010n13, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    4. Maestri, Virginia, 2013. "Promoting scientific faculties: Does it work? Evidence from Italy," Economics of Education Review, Elsevier, vol. 32(C), pages 168-180.
    5. Cortes, Patricia & Pan, Jessica, 2017. "Occupation and Gender," IZA Discussion Papers 10672, Institute of Labor Economics (IZA).
    6. Ashok Bardhan & Daniel L. Hicks & Dwight Jaffee, 2013. "How responsive is higher education? The linkages between higher education and the labour market," Applied Economics, Taylor & Francis Journals, vol. 45(10), pages 1239-1256, April.
    7. Long, Mark C. & Goldhaber, Dan & Huntington-Klein, Nick, 2015. "Do completed college majors respond to changes in wages?," Economics of Education Review, Elsevier, vol. 49(C), pages 1-14.
    8. Tuomo Suhonen, 2012. "The role of distances and parents’ educational background in university field of study choice," ERSA conference papers ersa12p751, European Regional Science Association.
    9. Magali Beffy & Denis Fougère & Arnaud Maurel, 2012. "Choosing the Field of Study in Postsecondary Education: Do Expected Earnings Matter?," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 334-347, February.
    10. Tacsir, Ezequiel, 2010. "Occupation Choice: Family, Social and Market Influences," MERIT Working Papers 2010-013, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    11. Aleksander Kucel & Montserrat Vilalta-Bufi, 2012. "Why do university graduates regret their study program? A comparison between Spain and the Netherlands," Working Papers in Economics 279, Universitat de Barcelona. Espai de Recerca en Economia.

    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. Boudarbat, Brahim, 2008. "Field of study choice by community college students in Canada," Economics of Education Review, Elsevier, vol. 27(1), pages 79-93, February.
    2. Boudarbat, Brahim, 2004. "Earnings and Community College Field of Study Choice in Canada," IZA Discussion Papers 1156, Institute of Labor Economics (IZA).
    3. Polachek, Solomon W., 2008. "Earnings Over the Life Cycle: The Mincer Earnings Function and Its Applications," Foundations and Trends(R) in Microeconomics, now publishers, vol. 4(3), pages 165-272, April.
    4. Osikominu, Aderonke & Grossmann, Volker & Osterfeld, Marius, 2014. "Are Sociocultural Factors Important for Studying a Science University Major?," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100404, Verein für Socialpolitik / German Economic Association.
    5. Aderonke Osikominu & Volker Grossmann & Marius Osterfeld, 2020. "Sociocultural background and choice of STEM majors at university," Oxford Economic Papers, Oxford University Press, vol. 72(2), pages 347-369.
    6. Gunderson, Morley & Krashinsky, Harry, 2009. "Do Education Decisions Respond to Returns by Field of Study?," CLSSRN working papers clsrn_admin-2009-62, Vancouver School of Economics, revised 28 Nov 2009.
    7. Christiansen, Charlotte & Joensen, Juanna Schroter & Nielsen, Helena Skyt, 2007. "The risk-return trade-off in human capital investment," Labour Economics, Elsevier, vol. 14(6), pages 971-986, December.
    8. Freeman, James A. & Hirsch, Barry T., 2008. "College majors and the knowledge content of jobs," Economics of Education Review, Elsevier, vol. 27(5), pages 517-535, October.
    9. Gilpin, Gregory A., 2011. "Reevaluating the effect of non-teaching wages on teacher attrition," Economics of Education Review, Elsevier, vol. 30(4), pages 598-616, August.
    10. Lutz Hendricks & Oksana Leukhina, 2018. "The Return To College: Selection And Dropout Risk," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 59(3), pages 1077-1102, August.
    11. Ribar, David C., 2004. "What Do Social Scientists Know About the Benefits of Marriage? A Review of Quantitative Methodologies," IZA Discussion Papers 998, Institute of Labor Economics (IZA).
    12. Bratti, Massimiliano & Naylor, Robin & Smith, Jeremy, 2005. "Variations in the Wage Returns to a First Degree: Evidence from the British Cohort Study 1970," IZA Discussion Papers 1631, Institute of Labor Economics (IZA).
    13. Belzil, Christian, 2007. "The return to schooling in structural dynamic models: a survey," European Economic Review, Elsevier, vol. 51(5), pages 1059-1105, July.
    14. Gonzalo Castex, 2017. "College risk and return," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 26, pages 91-112, October.
    15. Thomas Lemieux, 2014. "Occupations, fields of study and returns to education," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 47(4), pages 1047-1077, November.
    16. Kässi, Otto, 2014. "How Risky Is the Choice of a University Major?," MPRA Paper 59078, University Library of Munich, Germany.
    17. Song, Moohoun & Orazem, Peter F. & Wohlgemuth, Darin, 2008. "The role of mathematical and verbal skills on the returns to graduate and professional education," Economics of Education Review, Elsevier, vol. 27(6), pages 664-675, December.
    18. Katja Görlitz & Barbara S. Grave, 2012. "Wage Differentials by Field of Study – The Case of German University Graduates," Ruhr Economic Papers 0316, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    19. repec:zbw:rwirep:0316 is not listed on IDEAS
    20. Fossen, Frank M. & Büttner, Tobias J.M., 2013. "The returns to education for opportunity entrepreneurs, necessity entrepreneurs, and paid employees," Economics of Education Review, Elsevier, vol. 37(C), pages 66-84.
    21. Barbara S. Grave & Katja Goerlitz, 2012. "Wage differentials by field of study -- the case of German university graduates," Education Economics, Taylor & Francis Journals, vol. 20(3), pages 284-302, March.

    More about this item

    Keywords

    Canada; university fields of study; expected lifetime earnings; mixed multinomial logit model; parents’ education;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

    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:iza:izadps:dp2552. 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: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.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.