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
Kaynakça
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Ayrıntılar
Birincil Dil
İngilizce
Konular
İşletme
Bölüm
Araştırma Makalesi
Yazarlar
Yayımlanma Tarihi
30 Kasım 2018
Gönderilme Tarihi
9 Ağustos 2018
Kabul Tarihi
8 Kasım 2018
Yayımlandığı Sayı
Yıl 2018 Cilt: 19 Sayı: 2