INCOME AND CRIME RELATIONSHIP IN THE RECESSION PERIOD: A QUANTILE REGRESSION APPROACH
Abstract
This study investigates the relationship between income inequality and crime in the
United States. For this purpose, 2004 and 2016 years are chosen to represent before
and after great recession period to understand the potential relationship income and
crime. All data set are taken from National Longitudinal Survey conducted by the
United States Bureau of Labor Statistics. Crime variables are categorized big and
small crimes based on the value of crimes. Because the crime variables are highly
skewed, a quantile regression approach can be more appropriate then a regular
regression. As result of the quantile regression approach, income inequality is
positively associated with the crime variables. Considering the crime variables only
the big crime variable which includes attack a property or using illegal substance has
negative effect on income level over all quantile range.
Keywords
References
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Details
Primary Language
English
Subjects
Business Administration
Journal Section
Research Article
Authors
Publication Date
November 30, 2018
Submission Date
August 9, 2018
Acceptance Date
November 8, 2018
Published in Issue
Year 2018 Volume: 19 Number: 2