IDEAS home Printed from https://ideas.repec.org/a/wly/japmet/v26y2011i4p613-640.html

Estimating the returns to schooling: a likelihood approach based on normal mixtures

Author

Listed:
  • John K. Dagsvik
  • TorbjØrn HÆgeland
  • Arvid Raknerud

Abstract

In this paper we develop likelihood based methods for statistical inference in a joint system of equations for the choice of length of schooling and earnings. The model for schooling choice is assumed to be an ordered probit model, whereas the earnings equation contains variables that are flexible transformations of schooling and experience, with corresponding coefficients that are allowed to be heterogeneous across individuals. Under the assumption that the distribution of the random terms of the model can be expressed as a particular finite mixture of multinormal distributions, we show that the joint probability distribution for schooling and earnings can be expressed on closed form. In an application of our method on Norwegian data, we find that the mixed Gaussian model offers a substantial improvement in fit to the (heavy-tailed) empirical distribution of log-earnings compared to a multinormal benchmark model.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • John K. Dagsvik & TorbjØrn HÆgeland & Arvid Raknerud, 2011. "Estimating the returns to schooling: a likelihood approach based on normal mixtures," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(4), pages 613-640, June.
    • Handle: RePEc:wly:japmet:v:26:y:2011:i:4:p:613-640
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    Other versions of this item:

    Citations

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


    Cited by:

    1. Cappelen, Ådne & Raknerud, Arvid & Rybalka, Marina, 2012. "The effects of R&D tax credits on patenting and innovations," Research Policy, Elsevier, vol. 41(2), pages 334-345.
    2. Adam Nowak & Patrick Smith, 2015. "Textual Analysis in Real Estate," Working Papers 15-34, Department of Economics, West Virginia University.
    3. Bratsberg, Bernt & Raaum, Oddbjørn & Røed, Knut, 2011. "Educating Children of Immigrants: Closing the Gap in Norwegian Schools," IZA Discussion Papers 6138, Institute of Labor Economics (IZA).
    4. John K. Dagsvik & Zhiyang Jia & Tom Kornstad & Thor O. Thoresen, 2014. "Theoretical And Practical Arguments For Modeling Labor Supply As A Choice Among Latent Jobs," Journal of Economic Surveys, Wiley Blackwell, vol. 28(1), pages 134-151, February.
    5. Arvid Raknerud & Mirjam van Praag, 2014. "The entrepreneurial earnings puzzle. Evidence from matched person-firm data," Discussion Papers 789, Statistics Norway, Research Department.

    More about this item

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • I20 - Health, Education, and Welfare - - Education - - - General
    • J30 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - General

    Lists

    This item is featured on the following reading lists, Wikipedia, or ReplicationWiki pages:
    1. Estimating the returns to schooling: a likelihood approach based on normal mixtures (Journal of Applied Econometrics 2011) in ReplicationWiki

    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:wly:japmet:v:26:y:2011:i:4:p:613-640. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/0883-7252/ .

    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.