Examining the link between crime and unemployment: a time-series analysis for Canada

Zuzana Janko and Gurleen Popli

Applied Economics, 2015, vol. 47, issue 37, 4007-4019

Abstract: We use national and regional Canadian data to analyse the relationship between economic activity (as reflected by the unemployment rate) and crime rates. Given potential aggregation bias, we disaggregate the crime data and look at the relationship between six different types of crimes rates and unemployment rate; we also disaggregate the data by region. We employ an error correction model in our analysis to test for short-run and long-run dynamics. We find no evidence of long-run relationship between crime and unemployment, when we look at both disaggregation by type of crime and disaggregation by region. Lack of evidence of a long-run relationship indicates we have no evidence of the motivation hypothesis. For selected types of property crimes, we find some evidence of a significant negative short-run relationship between crime and unemployment, lending support to the opportunity hypothesis. Inclusion of control variables in the panel analysis does not alter the findings, qualitatively or quantitatively.

Date: 2015
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Working Paper: Examining the Link between Crime and Unemployment: A Time Series Analysis for Canada (2013)
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DOI: 10.1080/00036846.2015.1023942

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