Time Series Analysis of Crime Rates

David F. Greenberg

doi:10.1023/A:1012507119569

Time Series Analysis of Crime Rates

David F. Greenberg

Research output: Contribution to journal › Article › peer-review

Abstract

A methodological critique of Cantor and Land's (1985) approach to the time series analysis of the crime-unemployment relationship is developed. Error correction models for U.S. homicide and robbery rates for the years 1946-1997 are presented to illustrate procedures for analyzing nonstationary time series data. The critique is followed by a discussion of methodological problems in work by Devine et al. (1988), Smith et al. (1992), and Britt (1994, 1997) that builds on Cantor and Land's approach.

Original language	English (US)
Pages (from-to)	291-327
Number of pages	37
Journal	Journal of Quantitative Criminology
Volume	17
Issue number	4
DOIs	https://doi.org/10.1023/A:1012507119569
State	Published - 2001

Keywords

Age
Cointegration
Crime
Divorce
Time series
Unemployment

ASJC Scopus subject areas

Pathology and Forensic Medicine
Law

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10.1023/A:1012507119569

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AB - A methodological critique of Cantor and Land's (1985) approach to the time series analysis of the crime-unemployment relationship is developed. Error correction models for U.S. homicide and robbery rates for the years 1946-1997 are presented to illustrate procedures for analyzing nonstationary time series data. The critique is followed by a discussion of methodological problems in work by Devine et al. (1988), Smith et al. (1992), and Britt (1994, 1997) that builds on Cantor and Land's approach.

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KW - Crime

KW - Divorce

KW - Time series

KW - Unemployment

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Time Series Analysis of Crime Rates

Abstract

Keywords

ASJC Scopus subject areas

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