TY  - JOUR
A1  - Entorf, Horst
A1  - Sieger, Philip
T1  - Does the magnitude of the link between unemployment and crime depend on the crime level? : a quantile regression approach
T2  - International journal of conflict and violence
N2  - 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.
KW  - Unemployment
KW  - Economics
KW  - Assault
KW  - Burglary
KW  - Theft
Y1  - 2017
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/44209
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-442092
SN  - 1864-1385
SN  - 1438-9444
N1  - This work is licensed under the Creative Commons Attribution-NoDerivatives License
VL  - [N.F.] 8
IS  - 2
SP  - 262
EP  - 283
PB  - Inst. for Interdisciplinary Conflict and Violence Research, Univ. of Bielefeld
CY  - Bielefeld
ER  -