Hourly Wage and the Likelihood of Stealing an Item  

作　　者：Benjamin Borketey David Borketey Benjamin Borketey;David Borketey(Department of Economics, The University of Akron, Akron, Ohio, USA;Department of Mathematics, The University of Cape Coast, Cape Coast, Ghana)

机构地区：[1]Department of Economics, The University of Akron, Akron, Ohio, USA [2]Department of Mathematics, The University of Cape Coast, Cape Coast, Ghana

出　　处：《Journal of Data Analysis and Information Processing》2024年第2期289-303,共15页数据分析和信息处理（英文）

摘　　要：Researchers have extensively explored the impact of wages on individuals’ decisions to engage in property crimes. While most of these studies in the past have relied on macro-level data to investigate the relationship between crime rates and hourly wages, this paper takes a novel approach by utilizing micro-level data to examine the influence of hourly wages on the likelihood of stealing an item valued at least $50. The results obtained from the estimations reveal that an increase in hourly wage leads to a decrease in the probability of theft, all other factors being held constant. Further estimation by gender revealed that hourly wages given to both male and female have no bearing on the decision to steal. Additionally, the analysis of the differences in theft probabilities across gender and race demonstrates that males consistently exhibit a higher likelihood of engaging in theft when compared to females across various racial groups.Researchers have extensively explored the impact of wages on individuals’ decisions to engage in property crimes. While most of these studies in the past have relied on macro-level data to investigate the relationship between crime rates and hourly wages, this paper takes a novel approach by utilizing micro-level data to examine the influence of hourly wages on the likelihood of stealing an item valued at least $50. The results obtained from the estimations reveal that an increase in hourly wage leads to a decrease in the probability of theft, all other factors being held constant. Further estimation by gender revealed that hourly wages given to both male and female have no bearing on the decision to steal. Additionally, the analysis of the differences in theft probabilities across gender and race demonstrates that males consistently exhibit a higher likelihood of engaging in theft when compared to females across various racial groups.

关 键 词：CRIME Hourly Wage MALE FEMALE Logistic Regression 

分 类 号：O17[理学—数学]