IDEAS home Printed from https://ideas.repec.org/p/ssb/dispap/725.html
   My bibliography  Save this paper

Preferences for lifetime earnings, earnings risk and nonpecuniary attributes in choice of higher education

Author

Listed:

Abstract

Expected earnings are considered to influence individuals' choice of education. However, the presence of nonpecuniary attributes and the different choice set available to prospective students make identification of this relationship difficult. This paper employs a conditional logit model on exceptionally rich application data, which are likely to reflect the actual preferences of the applicants, given their individual choice sets. Controlling for several nonpecuniary attributes, average lifetime earnings is shown to strongly influence educational choice. A one-percent earnings increase for a given education increases the number of male applicants by about 5 percent and female applicants by about 2 percent. However, other attributes also matter, in particular earnings risk. Increasing both earnings and risk as they correlate in the cross section has essentially no effect on the number of female applicants. Difference in earnings and risk preferences both contribute to a gender earnings differential. Finally, there is some preference heterogeneity by education chosen.

Suggested Citation

  • Lars Johannessen Kirkebøen, 2012. "Preferences for lifetime earnings, earnings risk and nonpecuniary attributes in choice of higher education," Discussion Papers 725, Statistics Norway, Research Department.
    • Handle: RePEc:ssb:dispap:725
    as

    Download full text from publisher

    File URL: https://www.ssb.no/a/publikasjoner/pdf/DP/dp725.pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Luc Bridet & Margaret Leighton, 2015. "The Major Decision: Labor Market Implications of the Timing of Specialization in College," Discussion Paper Series, School of Economics and Finance 201510, School of Economics and Finance, University of St Andrews.
    2. Berlingieri, Francesco & Diegmann, André & Sprietsma, Maresa, 2023. "Preferred field of study and academic performance," Economics of Education Review, Elsevier, vol. 95(C).

    More about this item

    Keywords

    Rank-ordered logit; nested logit; field of study;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

    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:ssb:dispap:725. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: L Maasø (email available below). General contact details of provider: https://edirc.repec.org/data/ssbgvno.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.