Umbach, Tim (2017): Socioeconomic Determinants for Regional Variation of Crime in Germany.
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Abstract
This work explores which spatial patterns of crime exist in Germany and what their socio-economic determinants are. This is done using the PKS crime statistic for six types of crime on the county level for the years 2003-2014. To the authors knowledge, this is the first time crime in Germany has been studied with such granular data on such a broad scale. Due to the granularity of the data set, spatial dependencies of crime and its covariates became very apparent, which made it necessary to use a random effects spatial durbin model (SDM) to model regional variation of crime. With this, I was able to show that the factors explaining crime in one county also spill-over and affect crime in a neighboring one. To my knowledge, this hasn't been done before either for Germany. Also, I was able to confirm earlier findings that the Becker-Ehrlich model works well explaining property crime in Germany and the social disorganization theory explaining violent and drug crime, with the routine activity mostly working in both cases. Also as a first for Germany, there is some evidence that the broken-window theory applies and that disorder can drive crime to an extend.
Item Type: | MPRA Paper |
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Original Title: | Socioeconomic Determinants for Regional Variation of Crime in Germany |
Language: | English |
Keywords: | Crime, Germany, Spatial Econometrics, Spatial, Spillover |
Subjects: | C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C23 - Panel Data Models ; Spatio-temporal Models J - Labor and Demographic Economics > J6 - Mobility, Unemployment, Vacancies, and Immigrant Workers > J68 - Public Policy K - Law and Economics > K4 - Legal Procedure, the Legal System, and Illegal Behavior K - Law and Economics > K4 - Legal Procedure, the Legal System, and Illegal Behavior > K42 - Illegal Behavior and the Enforcement of Law |
Item ID: | 85499 |
Depositing User: | Tim Thomas Umbach |
Date Deposited: | 29 Mar 2018 21:37 |
Last Modified: | 02 Oct 2019 22:37 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/85499 |