IDEAS home Printed from https://ideas.repec.org/a/ila/anaeco/v20y2005i2p63-90.html
   My bibliography  Save this article

¿Es el ingreso suficiente para explicar cambios en la elección de carrera?

Author

Listed:
  • Emanuel Vespa

    () (Departamento de Economía y Administración, Universidad Alberto Hurtado)

Abstract

By influencing her specific labor occupation choice major choices greatly condition the allocation of an individual’s time. Previous economic analysis on the subject has emphasized monetary considerations affecting such a decision, but has been relatively less incisive regarding non pecuniary variables, which are precisely those that psychologists consider as relatively relevant. This paper shows that giving a greater role to non-pecuniary variables may vary and even contradict some previous considerations. In fact, when the non-pecuniary variable enters in the utility function it is shown that if abilities are absolute (being proficient in major i implies being proficient in all others), then average ability will not be affected; whereas, in the relative case, the rise in average ability may be indistinguishable.

Suggested Citation

  • Emanuel Vespa, 2005. "¿Es el ingreso suficiente para explicar cambios en la elección de carrera?," Revista de Analisis Economico – Economic Analysis Review, Ilades-Georgetown University, Universidad Alberto Hurtado/School of Economics and Bussines, vol. 20(2), pages 63-90, December.
  • Handle: RePEc:ila:anaeco:v:20:y:2005:i:2:p:63-90
    as

    Download full text from publisher

    File URL: http://www.rae-ear.org/index.php/rae/article/view/51
    Download Restriction: no

    More about this item

    Keywords

    Undergraduate Major Choice; Dynamic Programming; Simulations;

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

    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:ila:anaeco:v:20:y:2005:i:2:p:63-90. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Marcela Perticara). General contact details of provider: http://edirc.repec.org/data/deilacl.html .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.