IDEAS home Printed from https://ideas.repec.org/a/wly/emetrp/v87y2019i5p1439-1474.html

The Allocation of Talent and U.S. Economic Growth

Author

Listed:
  • Chang‐Tai Hsieh
  • Erik Hurst
  • Charles I. Jones
  • Peter J. Klenow

Abstract

In 1960, 94 percent of doctors and lawyers were white men. By 2010, the fraction was just 62 percent. Similar changes in other highly‐skilled occupations have occurred throughout the U.S. economy during the last 50 years. Given that the innate talent for these professions is unlikely to have changed differently across groups, the change in the occupational distribution since 1960 suggests that a substantial pool of innately talented women and black men in 1960 were not pursuing their comparative advantage. We examine the effect on aggregate productivity of the convergence in the occupational distribution between 1960 and 2010 through the prism of a Roy model. Across our various specifications, between 20% and 40% of growth in aggregate market output per person can be explained by the improved allocation of talent.

Suggested Citation

  • Chang‐Tai Hsieh & Erik Hurst & Charles I. Jones & Peter J. Klenow, 2019. "The Allocation of Talent and U.S. Economic Growth," Econometrica, Econometric Society, vol. 87(5), pages 1439-1474, September.
    • Handle: RePEc:wly:emetrp:v:87:y:2019:i:5:p:1439-1474
    DOI: 10.3982/ECTA11427
    as

    Download full text from publisher

    File URL: https://doi.org/10.3982/ECTA11427
    Download Restriction: no
    File URL: https://libkey.io/10.3982/ECTA11427?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    More about this item

    JEL classification:

    • J70 - Labor and Demographic Economics - - Labor Discrimination - - - General
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

    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:emetrp:v:87:y:2019:i:5:p:1439-1474. 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: https://edirc.repec.org/data/essssea.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.