Concentration in US labor markets: Evidence from online vacancy data

José Azar, Ioana Marinescu, Marshall Steinbaum and Bledi Taska

Labour Economics, 2020, vol. 66, issue C

Abstract: Using data on the near-universe of US online job vacancies collected by Burning Glass Technologies in 2016, we calculate labor market concentration using the Herfindahl-Hirschman index (HHI) for each commuting zone by 6-digit SOC occupation. The average market has an HHI of 4,378, or the equivalent of 2.3 recruiting employers. 60% of labor markets are highly concentrated (above 2500 HHI). Highly concentrated markets account for 16% of employment. Labor market concentration is negatively correlated with wages, and there is no relationship between measured concentration and an occupation’s skill level. These indicators suggest that employer concentration is a meaningful measure of employer power in labor markets, that there is a high degree of employer power in labor markets, and also that it varies widely across occupations and geography.

Keywords: Monopsony; Oligopsony; Labor markets (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (82)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0927537120300907
Full text for ScienceDirect subscribers only

Related works:
Working Paper: Concentration in US Labor Markets: Evidence from Online Vacancy Data (2018)
Working Paper: Concentration in US Labor Markets: Evidence From Online Vacancy Data (2018)
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: https://EconPapers.repec.org/RePEc:eee:labeco:v:66:y:2020:i:c:s0927537120300907

DOI: 10.1016/j.labeco.2020.101886

Access Statistics for this article

Labour Economics is currently edited by A. Ichino

More articles in Labour Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().