@article{article_365657, title={An Econometric Investigation of the Impact of Gender Income Gap on the Gender Gap in Crime: The Case of Arkansas State}, journal={Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi}, volume={6}, pages={1001–1010}, year={2018}, author={Guvercin, Deniz}, keywords={Crime Rate,Cluster Robust Standard Errors,Gender Wage Gap,Gender Gap in Crime,Rate of Arrest}, abstract={<p class="MsoNormal" style="line-height:normal;"> <span lang="en-us" style="font-size:9pt;line-height:107%;font-family:Calibri, ’sans-serif’;" xml:lang="en-us">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.    </span> <br /> </p> <p> </p>}, number={6}, publisher={Mus Alparslan University}