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Causality, Economic Conditions, and Burglary

Bibliographic Data

ID9681043
AuthorsMitchell B Chamlin (University at Albany, State University of New York, corresponding author), John K Cochran (0000-0001-5227-1564, University of South Florida)
Year1998
Volume36
Issue2
Pages425-440
Publication date1998-05-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueCriminology (JOURNAL)
Journal identifiersISSN: 0011-1384 • E-ISSN: 1745-9125
PublisherWiley (PUBLISHER • GB)
DOI10.1111/j.1745-9125.1998.tb01254.x
OpenAlexW2108661353
LanguageEN
Citations received5
References cited23

This study examines the extent to which the symmetry‐asymmetry distinction and offense aggregation bias obfuscate the relationship between economic conditions and crime. Specifically, we use ARIMA techniques to assess the impact of incremental and abrupt changes in oil prices on counts of total, commercial, and residential burglaries in Oklahoma City, Oklahoma. Taken together, the bivariate and interrupted time series analyses indicate that the causal impact of oil prices on burglary is asymmetrical and varies across the two subcategories of breaking and entering

Autoregressive integrated moving average · Bivariate analysis · Causality (physics · Criminology · Demographic economics · Econometrics · Economics · Fluctuating asymmetry · Statistics · Time series · Crime Patterns and Interventions · Crime, Illicit Activities, and Governance · Ecology · Mathematics · Psychology · Wildlife Conservation and Criminology Analyses

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Unique citing works5
Citations per year0,31
Citation span2010 - 2022 (13)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 5

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