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

17 Pages Posted: 28 Jan 2019 Last revised: 25 Apr 2022

See all articles by Marios Karabarbounis

Marios Karabarbounis

Federal Reserve Banks - Federal Reserve Bank of Richmond

Santiago M. Pinto

Research Economist; West Virginia University - Department of Economics; Federal Reserve Banks - Federal Reserve Bank of Richmond

Date Written: 2018

Abstract

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.

Keywords: wages, Glassdoor, QCEW

Suggested Citation

Karabarbounis, Marios and Pinto, Santiago M., What Can We Learn from Online Wage Postings? Evidence from Glassdoor (2018). Available at SSRN: https://ssrn.com/abstract=3322205

Marios Karabarbounis (Contact Author)

Federal Reserve Banks - Federal Reserve Bank of Richmond ( email )

P.O. Box 27622
Richmond, VA 23261
United States

Santiago M. Pinto

Research Economist ( email )

P.O. Box 27622
Richmond, VA 23261
United States

West Virginia University - Department of Economics ( email )

College of Business and Economics
1601 University Ave., Room #412
Morgantown, WV 26506-6025
United States
(304) 293-7871 (Phone)

Federal Reserve Banks - Federal Reserve Bank of Richmond ( email )

P.O. Box 27622
Richmond, VA 23261
United States

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