IDEAS home Printed from https://ideas.repec.org/a/aea/apandp/v110y2020p210-14.html
   My bibliography  Save this article

Employment and Earnings for Federal Government Economists: Empirical Evidence by Gender and Race

Author

Listed:
  • Lucia Foster
  • Julia Manzella
  • Erika McEntarfer
  • Danielle H. Sandler

Abstract

We contribute to the literature on diversity in the economics profession, which has mostly focused on academia, by providing a first look at the employment and earnings of federal government economists by gender and race. Combining micro-level data on federal workers with information on their earnings in federal and private sector jobs, we examine the share of federal government economists by race and gender, earnings differences by race and gender, and whether earning gaps differ during their federal government tenure.

Suggested Citation

  • Lucia Foster & Julia Manzella & Erika McEntarfer & Danielle H. Sandler, 2020. "Employment and Earnings for Federal Government Economists: Empirical Evidence by Gender and Race," AEA Papers and Proceedings, American Economic Association, vol. 110, pages 210-214, May.
    • Handle: RePEc:aea:apandp:v:110:y:2020:p:210-14
    DOI: 10.1257/pandp.20201122
    as

    Download full text from publisher

    File URL: https://www.aeaweb.org/doi/10.1257/pandp.20201122
    Download Restriction: no
    File URL: https://doi.org/10.3886/E119986V1
    Download Restriction: no
    File URL: https://www.aeaweb.org/doi/10.1257/pandp.20201122.ds
    Download Restriction: Access to full text is restricted to AEA members and institutional subscribers.
    File URL: https://libkey.io/10.1257/pandp.20201122?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
    ---><---

    Citations

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


    Cited by:

    1. Lucia Foster & Erika McEntarfer & Danielle H. Sandler, 2022. "Diversity and Labor Market Outcomes in the Economics Profession," Working Papers 22-26, Center for Economic Studies, U.S. Census Bureau.

    More about this item

    JEL classification:

    • A11 - General Economics and Teaching - - General Economics - - - Role of Economics; Role of Economists
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J45 - Labor and Demographic Economics - - Particular Labor Markets - - - Public Sector Labor Markets

    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:aea:apandp:v:110:y:2020:p:210-14. 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: Michael P. Albert (email available below). General contact details of provider: https://edirc.repec.org/data/aeaaaea.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.