Economics at your fingertips  

The wage curve and local monopsony power

Juho Jokinen ()
Additional contact information
Juho Jokinen: University of Jyväskylä

The Annals of Regional Science, 2020, vol. 64, issue 1, No 8, 159-183

Abstract: Abstract Using longitudinal micro-data from Finland, a country with a geographically dispersed population and relatively long distances between local labor markets, this paper examines the responsiveness of the pay level to local unemployment conditions. In particular, this study tests the hypothesis that the pay level is more responsive to the unemployment level in less agglomerated and more remote regions as might be expected if employers have a higher degree of monopsony power in such regions. The results consistently suggest that the pay level is lower in localities with a higher unemployment level and, hence, provide strong support for the so-called wage curve hypothesis, which predicts that a negative relationship exists between local unemployment and the pay level. Although the results provide some evidence that the magnitude of the regional pay–unemployment relationship varies across different regions of the country, the findings do not provide consistent support for the monopsony power hypothesis. In particular, after controlling for unobserved worker heterogeneity, the responsiveness of the pay level to the local unemployment conditions is similar across regions with different degrees of economic agglomeration.

JEL-codes: J31 J42 J60 R23 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link) Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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

DOI: 10.1007/s00168-019-00966-3

Access Statistics for this article

The Annals of Regional Science is currently edited by Martin Andersson, E. Kim and Janet E. Kohlhase

More articles in The Annals of Regional Science from Springer, Western Regional Science Association Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

Page updated 2020-12-08
Handle: RePEc:spr:anresc:v:64:y:2020:i:1:d:10.1007_s00168-019-00966-3