Economics at your fingertips  

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

Marios Karabarbounis and Santiago Pinto ()
Additional contact information
Marios Karabarbounis: Federal Reserve Bank of Richmond,

Economic Quarterly, 2018, issue 4Q, 173-189

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 (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations: Track citations by RSS feed

Downloads: (external link) ... q4/karabarbounis.pdf Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Ordering information: This journal article can be ordered from

Access Statistics for this article

More articles in Economic Quarterly from Federal Reserve Bank of Richmond Contact information at EDIRC.
Bibliographic data for series maintained by Christian Pascasio ().

Page updated 2019-07-20
Handle: RePEc:fip:fedreq:00063