Özet:

The paper examines the determinants of crime by focusing on gender issue. We randomly select the state of Arkansas and four counties in Arkansas. We estimate econometric models to examine the determinants of crime market participation. Estimations based on ordinal least squares using clustered robust standard errors imply that probability of arrest affects the crime market participation. One of the significant contribution of the paper is that, according to the estimation results crime gap increases as gender income gap increases explaining the decline in the gender wage gap and gender gap in crime in the last decades. Furthermore the results contrary to literature, imply that there is threshold level after which increase in probability of arrest leads to the crime market participation.   

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