The DOI matches its Crossref record.
Local Labor Markets
Abstract
This paper studies the processes of wage and employment dynamics within local labor markets. The theoretical context is a dynamic spatial equilibrium among locales that is supported by incentives to migrate to markets offering the greatest present value of future earnings. Thus costly migration arbitrages geographic wage differences. Using a time series of cross-sectional files from the Current Population Surveys of 1977-79, I find that wages are sensitive to interarea differences in market conditions. A positive relative shock to local labor demand increases relative wages within a locale, but expectations of future demand actually reduce current wages because of increased current migration. Thus wages are more flexible in response to transitory changes in local market conditions than to permanent ones. Consistent with theory, wages are most flexible among the least mobile demographic groups, who are inelastically supplied across geographic areas.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
The China Syndrome: Local Labor Market Effects of Import Competition in the United States
Autor, D. H., Dorn, D., & Hanson, G. H. (2013) · American Economic Review · doi:10.1257/aer.103.6.2121 · Cited by 4,459
The growth of low-skill service jobs and the polarization of the US labor market
Autor, D. H., & Dorn, D. (2013) · American Economic Review · doi:10.1257/aer.103.5.1553 · Cited by 3,824
An Illustration of a Pitfall in Estimating the Effects of Aggregate Variables on Micro Units
Moulton, B. R. (1990) · The Review of Economics and Statistics · doi:10.2307/2109724 · Cited by 2,630
Chapter 12 The theory of equalizing differences
Rosen, S. (1986) · Handbook of Labor Economics · doi:10.1016/s1573-4463(86)01015-5 · Cited by 1,301
Identifying Agglomeration Spillovers: Evidence from Winners and Losers of Large Plant Openings
Greenstone, M., Hornbeck, R., & Moretti, E. (2010) · Journal of Political Economy · doi:10.1086/653714 · Cited by 1,138
Metadata
- Authors
- Topel, R. H.
- Venue
- Journal of Political Economy
- Publisher
- University of Chicago Press
- Published
- 1986-06
- Volume
- 94
- Issue
- 3, Part 2
- Pages
- S111-S143
- ISSN
- 0022-3808 (ISSN-L)
- 1537-534X
- OpenAlex
- W2026583129
- Cited by
- 509
- References
- 0
- FWCI
- 24.23
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Local Labor Markets. https://app.cochat.ai/papers/10.1086/261401
- The paper
- Topel, R. H. (1986). Local Labor Markets. Journal of Political Economy. https://doi.org/10.1086/261401
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.