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Cited by 891

The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.

Crime Rates and Local Labor Market Opportunities in the United States: 1979–1997

Gould, Eric D., Weinberg, Bruce A., Mustard, David B.·2002·Review of Economics and Statistics

Abstract

The labor market prospects of young, unskilled men fell dramatically in the 1980s and improved in the 1990s. Crime rates show a reverse pattern: increasing during the 1980s and falling in the 1990s. Because young, unskilled men commit most crime, this paper seeks to establish a causal relationship between the two trends. Previous work on the relationship between labor markets and crime focused mainly on the relationship between the unemployment rate and crime, and found inconclusive results. In contrast, this paper examines the impact of both wages and unemployment on crime, and uses instrumental variables to establish causality. We conclude that both wages and unemployment are significantly related to crime, but that wages played a larger role in the crime trends over the last few decades. These results are robust to the inclusion of deterrence variables, controls for simultaneity, and controlling for individual and family characteristics.

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Metadata

Authors
Gould, E. D., Weinberg, B. A., & Mustard, D. B.
Venue
Review of Economics and Statistics
Published
2002-02
Volume
84
Issue
1
Pages
45-61
ISSN
  • 0034-6535 (ISSN-L)
  • 1530-9142
OpenAlex
W3122343733
Cited by
891
References
46
FWCI
74.20
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Crime Rates and Local Labor Market Opportunities in the United States: 1979–1997. https://app.cochat.ai/papers/10.1162/003465302317331919
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Gould, E. D., Weinberg, B. A., & Mustard, D. B. (2002). Crime Rates and Local Labor Market Opportunities in the United States: 1979–1997. Review of Economics and Statistics. https://doi.org/10.1162/003465302317331919

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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.