INCOME AND CRIME RELATIONSHIP IN THE RECESSION PERIOD: A QUANTILE REGRESSION APPROACH
This study investigates the relationship between income inequality and crime in theUnited States. For this purpose, 2004 and 2016 years are chosen to represent beforeand after great recession period to understand the potential relationship income andcrime. All data set are taken from National Longit...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
Sivas Cumhuriyet Üniversitesi
2018-11-01
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| Series: | Cumhuriyet Üniversitesi İktisadi ve İdari Bilimler Dergisi |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/tr/download/article-file/586568 |
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| Summary: | This study investigates the relationship between income inequality and crime in theUnited States. For this purpose, 2004 and 2016 years are chosen to represent beforeand after great recession period to understand the potential relationship income andcrime. All data set are taken from National Longitudinal Survey conducted by theUnited States Bureau of Labor Statistics. Crime variables are categorized big andsmall crimes based on the value of crimes. Because the crime variables are highlyskewed, a quantile regression approach can be more appropriate then a regularregression. As result of the quantile regression approach, income inequality ispositively associated with the crime variables. Considering the crime variables onlythe big crime variable which includes attack a property or using illegal substance hasnegative effect on income level over all quantile range. |
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| ISSN: | 1303-1279 |