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Cited by 369

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

Socio‐economic distance and spatial patterns in unemployment

Conley, Timothy G., Topa, Giorgio·2002·Journal of Applied Econometrics
DOI 10.1002/jae.670
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Abstract

This paper examines the spatial patterns of unemployment in Chicago between 1980 and 1990. We study unemployment clustering with respect to different social and economic distance metrics that reflect the structure of agents' social networks. Specifically, we use physical distance, travel time, and differences in ethnic and occupational distribution between locations. Our goal is to determine whether our estimates of spatial dependence are consistent with models in which agents' employment status is affected by information exchanged locally within their social networks. We present non‐parametric estimates of correlation across Census tracts as a function of each distance metric as well as pairs of metrics, both for unemployment rate itself and after conditioning on a set of tract characteristics. Our results indicate that there is a strong positive and statistically significant degree of spatial dependence in the distribution of raw unemployment rates, for all our metrics. However, once we condition on a set of covariates, most of the spatial autocorrelation is eliminated, with the exception of physical and occupational distance. Racial and ethnic composition variables are the single most important factor in explaining the observed correlation patterns. Copyright © 2002 John Wiley & Sons, Ltd.

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Metadata

Authors
Conley, T. G., & Topa, G.
Venue
Journal of Applied Econometrics
Publisher
Wiley
Published
2002-07
Volume
17
Issue
4
Pages
303-327
ISSN
  • 0883-7252 (ISSN-L)
  • 1099-1255
DOI
10.1002/jae.670
OpenAlex
W2172000163
Cited by
369
References
30
FWCI
27.92
Type
journal article
Language
en
Open access
closed

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