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The Journal of Business
Article . 1998 . Peer-reviewed
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Race, Redlining, and Automobile Insurance Prices

Authors: Harrington, Scott E; Niehaus, Greg;

Race, Redlining, and Automobile Insurance Prices

Abstract

Following G. Becker's (1993) suggestion that tests for discrimination should attempt to infer whether profits differ for products sold to minorities and nonminorities, this article tests the hypothesis that racial discrimination affects market prices of auto insurance in Missouri. Compared with tests for discrimination in lending markets, the authors' results are less susceptible to bias from omitted variables. Controlling for available demographic and coverage-related factors, they do not find that loss ratios at the zip-code level are negatively related to percent minority population. This finding is inconsistent with the hypothesis that racial discrimination increases premiums relative to expected claim costs for minorities. Copyright 1998 by University of Chicago Press.

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
33
Top 10%
Top 10%
Average
bronze