Replication data for: How Local Are Labor Markets? Evidence from a Spatial Job Search Model
Principal Investigator(s): View help for Principal Investigator(s) Alan Manning; Barbara Petrongolo
Version: View help for Version V1
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20131026_data | 10/12/2019 01:03:AM | ||
LICENSE.txt | text/plain | 14.6 KB | 10/11/2019 09:03:PM |
Project Citation:
Manning, Alan, and Petrongolo, Barbara. Replication data for: How Local Are Labor Markets? Evidence from a Spatial Job Search Model. Nashville, TN: American Economic Association [publisher], 2017. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E112941V1
Project Description
Summary:
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This paper models the optimal search strategies of the unemployed across space to characterize local labor markets. Our methodology allows for linkages between numerous areas, while preserving tractability. We estimate that labor markets are quite local, as the attractiveness of jobs to applicants sharply decays with distance. Also, workers are discouraged from searching in areas with strong competition from other job-seekers. However, as labor markets overlap, a local stimulus or transport improvements have modest effects on local outcomes, because ripple effects in job applications dilute their impact across a series of overlapping markets.
Scope of Project
JEL Classification:
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J61 Geographic Labor Mobility; Immigrant Workers
J64 Unemployment: Models, Duration, Incidence, and Job Search
R23 Urban, Rural, Regional, Real Estate, and Transportation Economics: Regional Migration; Regional Labor Markets; Population; Neighborhood Characteristics
R58 Regional Development Planning and Policy
J61 Geographic Labor Mobility; Immigrant Workers
J64 Unemployment: Models, Duration, Incidence, and Job Search
R23 Urban, Rural, Regional, Real Estate, and Transportation Economics: Regional Migration; Regional Labor Markets; Population; Neighborhood Characteristics
R58 Regional Development Planning and Policy
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