Firm Market Power and the Earnings Distribution
By Douglas A. Webber. Social Science Research Network, 2015
134 citations recorded by the source corpus.
Using linked employer-employee data, I compute firm-level measures of the labor supply elasticity facing each private non-farm firm in the US. I provide the first direct evidence of the positive relationship between a firm's labor supply elasticity and the earnings of its workers. I also contrast the dynamic model method employed by this paper with the more traditional use of concentration ratios to measure a firm's labor market power. Finally, I construct a counterfactual earnings distribution which allows the effects of firm market power to vary across the earnings distribution.
Subfields: Economics and Econometrics, Gender Studies, General Health Professions
View Paper: https://www.semanticscholar.org/paper/6a64c64e3aa14c3f003384c40e4f3d20e6116901
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
In Gender Studies
In General Health Professions
Citations in the corpus
- Monopsony in Labor Markets: A Review (2020, background): “More generally, Webber (2015) found 7The other side of this coin is that monopsony predicts a weaker association between the supply shocks and wages: This has attracted little attention. more monopsony power in lower-wage labor markets, which would lead to greater inequality in wages than marginal…”
- Fairness and Frictions: The Impact of Unequal Raises on Quit Behavior (2018, unknown): “Using payroll data, several studies have estimated separation elasticities between -2 and zero, implying large search frictions (Ransom and Oaxaca 2010; Hirsch, Shank and Schnabel 2010; Sorenson and Depew 2013; Webber 2013).”
- Monopsony in Labor Markets: A Meta-Analysis (2020, unknown): “…and Yuchtman 2013; Balasubramanian et al. 2018; Krueger and Ashenfelter 2018), differentiated jobs (Card, Cardoso, et al. 2018), moving costs (Ransom 2019), and labor market concentration (Brummund 2011; Webber 2015; Azar, Marinescu, and Steinbaum 2017; Benmelech, Bergman, and Kim 2018; Rinz 2019).”