A Statistical Analysis of Crime against Foreigners in Unified Germany
AbstractGermany has experienced a high and rising rate of anti-foreigner violence during the early 1990s. To analyze the determinants of crime against foreigners we assembled a new data set on the number and nature of such crimes at the county level based on newspaper reports. We find significant differences in the patterns of violence in the eastern and western parts of the country. The incidence of anti-foreigner crime is higher in the east and rises with distance from the former West German border. Economic variables like unemployment and wages matter little for the level of crime once location in the east is taken into account. The relative number of foreigners in a county has no relationship with the incidence of ethnic crimes in the west, whereas in the east it has a positive association with the number of crimes per resident and a negative association with the number of crimes per foreign resident.
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Bibliographic InfoArticle provided by University of Wisconsin Press in its journal Journal of Human Resources.
Volume (Year): 32 (1997)
Issue (Month): 1 ()
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Web page: http://jhr.uwpress.org/
Other versions of this item:
- Alan Krueger & Jorn-Steffen Pischke, 1996. "A Statistical Analysis of Crime Against Foreigners in Unified Germany," Working Papers 737, Princeton University, Department of Economics, Industrial Relations Section..
- Alan B. Krueger & Jorn-Steffen Pischke, 1996. "A Statistical Analysis of Crime Against Foreigners in Unified Germany," NBER Working Papers 5485, National Bureau of Economic Research, Inc.
- Alan B. Krueger & Jorn-Steffen Pischke, 1995. "A Statistical Analysis of Crime Against Foreigners in Unified Germany," Working papers 95-15, Massachusetts Institute of Technology (MIT), Department of Economics.
- C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
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