IDEAS home Printed from https://ideas.repec.org/p/red/sed011/1131.html
   My bibliography  Save this paper

Matching Skills and Exploring Occupations

Author

Listed:
  • Satoshi Tanaka

    (University of Minnesota)

  • Jae Song

    (Social Security Administration)

  • David Wiczer

    (University of Minnesota)

  • Burhanettin Kuruscu

    (University of Toronto)

  • Fatih Guvenen

    (University of Minnesota)

Abstract

We study how individuals match their skills with an occupation's demands as they choose a career. With data on individuals' test scores for multiple types of skills and work histories, we have a rich description of this process. We quantify the quality of one's occupational match and how it evolves over the life cycle and with successive occupational moves. We propose and estimate a model in which occupational mobility allows individuals to discover their learning abilities along these dierent skill dimensions. The model delivers predictions for occupational sorting, which then allows us to use indirect inference to estimate returns to skills in occupations despite the sorting that plagues reduced form attempts at similar estimation. Furthermore, we gain insights into why incomes diverge over the life cycle, as match quality has long-term implications here, and we can use the model to analyze policies that affect occupational mobility.

Suggested Citation

  • Satoshi Tanaka & Jae Song & David Wiczer & Burhanettin Kuruscu & Fatih Guvenen, 2011. "Matching Skills and Exploring Occupations," 2011 Meeting Papers 1131, Society for Economic Dynamics.
  • Handle: RePEc:red:sed011:1131
    as

    Download full text from publisher

    File URL: https://red-files-public.s3.amazonaws.com/meetpapers/2011/paper_1131.pdf
    Download Restriction: no
    ---><---

    More about this item

    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:red:sed011:1131. 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: Christian Zimmermann (email available below). General contact details of provider: https://edirc.repec.org/data/sedddea.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.