Does the magnitude of the link between unemployment and crime depend on the crime level? : a quantile regression approach

  • Two alternative hypotheses – referred to as opportunity- and stigma-based behavior – suggest that the magnitude of the link between unemployment and crime also depends on preexisting local crime levels. In order to analyze conjectured nonlinearities between both variables, we use quantile regressions applied to German district panel data. While both conventional OLS and quantile regressions confirm the positive link between unemployment and crime for property crimes, results for assault differ with respect to the method of estimation. Whereas conventional mean regressions do not show any significant effect (which would confirm the usual result found for violent crimes in the literature), quantile regression reveals that size and importance of the relationship are conditional on the crime rate. The partial effect is significantly positive for moderately low and median quantiles of local assault rates.

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Author:Horst EntorfGND, Philip Sieger
URN:urn:nbn:de:hebis:30:3-442092
DOI:https://doi.org/10.4119/UNIBI/ijcv.437
ISSN:1864-1385
ISSN:1438-9444
Parent Title (English):International journal of conflict and violence
Publisher:Inst. for Interdisciplinary Conflict and Violence Research, Univ. of Bielefeld
Place of publication:Bielefeld
Document Type:Article
Language:English
Date of Publication (online):2017/06/19
Year of first Publication:2014
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2017/06/19
Tag:Assault; Burglary; Economics; Theft; Unemployment
Volume:[N.F.] 8
Issue:2
Page Number:22
First Page:262
Last Page:283
Note:
This work is licensed under the Creative Commons Attribution-NoDerivatives License
HeBIS-PPN:423544292
Institutes:Wirtschaftswissenschaften / Wirtschaftswissenschaften
Wissenschaftliche Zentren und koordinierte Programme / Sustainable Architecture for Finance in Europe (SAFE)
Dewey Decimal Classification:3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft
Sammlungen:Universitätspublikationen
Licence (German):License LogoCreative Commons - Namensnennung-Keine Bearbeitung