Monopsony in Labor Markets: A Meta-Analysis
Anna Sokolova and
Todd Sorensen
ILR Review, 2021, vol. 74, issue 1, 27-55
Abstract:
When jobs offered by different employers are not perfect substitutes, employers gain wage-setting power; the extent of this power can be captured by the elasticity of labor supply to the firm. The authors collect 1,320 estimates of this parameter from 53 studies. Findings show a prominent discrepancy between estimates of direct elasticity of labor supply to changes in wage (smaller) and the estimates converted from inverse elasticities (larger), suggesting that labor market institutions may rein in a substantial amount of firm wage-setting power. This gap remains after they control for 22 additional variables and use Bayesian Model Averaging and LASSO to address model uncertainty; however, it is less pronounced for studies employing an identification strategy. Furthermore, the authors find strong evidence that implies the literature on direct estimates is prone to selective reporting: Negative estimates of the elasticity of labor supply to the firm tend to be discarded, leading to upward bias in the mean reported estimate. Additionally, they point out several socioeconomic factors that seem to affect the degree of monopsony power.
Keywords: monopsony model; labor supply; labor supply elasticities; meta-analysis (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (50)
Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/0019793920965562 (text/html)
Related works:
Working Paper: Monopsony in Labor Markets: A Meta-Analysis (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:sae:ilrrev:v:74:y:2021:i:1:p:27-55
DOI: 10.1177/0019793920965562
Access Statistics for this article
More articles in ILR Review from Cornell University, ILR School
Bibliographic data for series maintained by SAGE Publications ().