IDEAS home Printed from https://ideas.repec.org/a/adr/anecst/y1996i41-42p413-442.html

American Employer Salary Surveys and Labor Economics Reseach: Issues and Contributions

Author

Listed:
  • Erica L. Groshen

Abstract

I review the uses of American employer salary surveys for labor market research. Recent computational, theoretical, and econometric advances render these surveys ripe for exploitation. I summarize theories of employer wage effects and then describe salary surveys and their preparation for analysis. Then, the surveys and the methodological issues they raise are contrasted with household data. Finally, I summarize the techniques used and contributions made in some salary survey-based studies.

Suggested Citation

  • Erica L. Groshen, 1996. "American Employer Salary Surveys and Labor Economics Reseach: Issues and Contributions," Annals of Economics and Statistics, GENES, issue 41-42, pages 413-442.
  • Handle: RePEc:adr:anecst:y:1996:i:41-42:p:413-442
    as

    Download full text from publisher

    File URL: http://www.jstor.org/stable/20066477
    Download Restriction: no
    ---><---

    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. Simon, Hipolito, 2005. "Employer wage differentials from an international perspective," Economics Letters, Elsevier, vol. 88(2), pages 284-288, August.
    2. Comin, Diego & Groshen, Erica L. & Rabin, Bess, 2009. "Turbulent firms, turbulent wages?," Journal of Monetary Economics, Elsevier, vol. 56(1), pages 109-133, January.
    3. Erica Groshen & Mark Schweitzer, 1999. "Identifying Inflation's Grease and Sand Effects in the Labor Market," NBER Chapters, in: The Costs and Benefits of Price Stability, pages 273-314, National Bureau of Economic Research, Inc.
    4. Hübler, Olaf, 2005. "Panel Data Econometrics: Modelling and Estimation," Hannover Economic Papers (HEP) dp-319, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    5. Erica L. Groshen & David K. Levine, 1998. "The rise and decline(?) of U.S. internal labor markets," Research Paper 9819, Federal Reserve Bank of New York.
    6. Abowd, John M. & Kramarz, Francis, 1999. "Econometric analyses of linked employer-employee data," Labour Economics, Elsevier, vol. 6(1), pages 53-74, March.
    7. repec:eee:labchp:v:3:y:1999:i:pb:p:2629-2710 is not listed on IDEAS
    8. Suveera Gill & Manika Kohli, 2018. "Perceptual Determinants of Executive Compensation: Survey-Based Evidence from India," Indian Journal of Corporate Governance, , vol. 11(2), pages 159-184, December.

    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:adr:anecst:y:1996:i:41-42:p:413-442. 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: Secretariat General or Laurent Linnemer (email available below). General contact details of provider: https://edirc.repec.org/data/ensaefr.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.