IDEAS home Printed from
   My bibliography  Save this article

What Can We Learn from Online Wage Postings? Evidence from Glassdoor


  • Marios Karabarbounis
  • Santiago Pinto


We use millions of user-entry salaries from Glassdoor to evaluate how well data from online wage postings compare with more traditional, aggregated data, such as the Quarterly Census for Employment and Wages (QCEW) or household-level data such as the Panel Study of Income Dynamics (PSID). We perform our analysis across industries as well as geographical areas. We find that industry employment shares differ substantially between Glassdoor and QCEW. However, the correlation between industry- and region-specific average salaries in Glassdoor and the QCEW is fairly high. Similarly, the within-industry dispersion in salaries in Glassdoor is fairly close to the dispersion in the PSID.

Suggested Citation

  • Marios Karabarbounis & Santiago Pinto, 2018. "What Can We Learn from Online Wage Postings? Evidence from Glassdoor," Economic Quarterly, Federal Reserve Bank of Richmond, issue 4Q, pages 173-189.
  • Handle: RePEc:fip:fedreq:00063

    Download full text from publisher

    File URL:
    File Function: Full text
    Download Restriction: no


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

    Cited by:

    1. Gibson, Matthew, 2021. "Employer Market Power in Silicon Valley," IZA Discussion Papers 14843, Institute of Labor Economics (IZA).
    2. Letian Zhang, 2023. "Racial Inequality in Work Environments," American Sociological Review, , vol. 88(2), pages 252-283, April.
    3. ED deHAAN & NAN LI & FRANK S. ZHOU, 2023. "Financial Reporting and Employee Job Search," Journal of Accounting Research, Wiley Blackwell, vol. 61(2), pages 571-617, May.
    4. Marinescu, Ioana & Skandalis, Daphné & Zhao, Daniel, 2021. "The impact of the Federal Pandemic Unemployment Compensation on job search and vacancy creation," Journal of Public Economics, Elsevier, vol. 200(C).
    5. Callaci, Brian & Gibson, Matthew & Pinto, Sergio & Steinbaum, Marshall & Walsh, Matt, 2023. "The Effect of Franchise No-Poaching Restrictions on Worker Earnings," IZA Discussion Papers 16330, Institute of Labor Economics (IZA).
    6. Paolo Martellini & Todd Schoellman & Jason A. Sockin, 2022. "The Global Distribution of College Graduate Quality," Working Papers 791, Federal Reserve Bank of Minneapolis.

    More about this item


    wages; Glassdoor; QCEW;
    All these keywords.


    Access and download statistics


    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:fip:fedreq:00063. 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 Pascasio (email available below). General contact details of provider: .

    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.