Monopsony in local labour markets
Alan Manning and
Barbara Petrongolo
LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library
Abstract:
We investigate employer monopsony power in local labour markets in the UK. We propose a model in which market power stems from idiosyncratic worker preferences over non-wage attributes of jobs, including the commuting distance. This set-up delivers point-specific, overlapping local labour markets. The resulting concentration index reflects the intensity of commuting flows between local areas, and is lower than the conventional index based on self-contained, non-overlapping areas because commuting across local areas expand workers’ outside options. We estimate that employment concentration in local labour markets was slightly falling over the past 2 decades. The model-based concentration index is negatively correlated to local wages and performs better than other purely local concentration measures. However, in quantitative terms, the observed fall in concentration can predict only a negligible increase in wages.
Keywords: job search; reference dependence; reservation wages; wage cyclicality (search for similar items in EconPapers)
JEL-codes: J01 J1 L81 R14 (search for similar items in EconPapers)
Date: 2024-07-17
References: Add references at CitEc
Citations:
Published in Oxford Open Economics, 17, July, 2024, 3, pp. i951-i958. ISSN: 2752-5074
Downloads: (external link)
https://researchonline.lse.ac.uk/id/eprint/137500/ Open access version. (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: https://EconPapers.repec.org/RePEc:ehl:lserod:137500
Access Statistics for this paper
More papers in LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library LSE Library Portugal Street London, WC2A 2HD, U.K.. Contact information at EDIRC.
Bibliographic data for series maintained by LSERO Manager ().