Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ SSRN Electronic Jour...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Journal of Monetary Economics
Article . 2026 . Peer-reviewed
License: CC BY
Data sources: Crossref
https://doi.org/10.21034/iwp.8...
Article . 2024 . Peer-reviewed
Data sources: Crossref
SSRN Electronic Journal
Article . 2021 . Peer-reviewed
Data sources: Crossref
SSRN Electronic Journal
Article . 2022 . Peer-reviewed
Data sources: Crossref
Stanford Digital Repository
Research . 2022
License: CC BY
Data sources: Datacite
EconStor
Research . 2021
Data sources: EconStor
EconStor
Research . 2021
Data sources: EconStor
versions View all 9 versions
addClaim

The Geography of Job Creation and Job Destruction

Authors: Kuhn, Moritz; Manovskii, Iourii; Qiu, Xincheng;

The Geography of Job Creation and Job Destruction

Abstract

Spatial differences in unemployment rates are large and persistent. Our objective is to develop a quantitative theory of these differences. Considering the local unemployment rate as an (equilibrium) outcome between workers and firms, we document facts on both sides of the labor market. First, we confirm recent findings that differences in separation rates (unemployment inflows) are more important than differences in job-finding rates (unemployment outflows) in accounting for local unemployment differences. Second, we present novel facts on the differences in job-creation and job-filling rates. We document that local labor markets with lower unemployment rates are tighter, have lower vacancy filling rates, and higher average vacancy duration. These facts constitute empirical regularities in the United States, Germany, and the United Kingdom. On the theory side, we demonstrate that a Diamond-Mortensen-Pissarides model with endogenous separations quantitatively accounts for all the documented facts on the geography of job creation and job destruction. Furthermore, we demonstrate that this model not only matches labor market differences across space but also over the business cycle.

Related Organizations
Keywords

unemployment, ddc:330, Local Labor Markets, Search and Matching, local labor markets, economics, vacancies, R13, Unemployment, search and matching, J63, E24, J64, Vacancies, E32

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    15
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Top 10%
Top 10%
hybrid