Research Article
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Cinsiyet Gelir Farkı’nın Cinsiyet Suç Oranı Üzerine Etkisi Üzerine Ekonometrik Bir İnceleme: Arkansas Eyaleti Örneği

Year 2018, Volume: 6 Issue: 6, 1001 - 1010, 02.12.2018

Abstract

Bu
çalışma, cinsiyet hususunu dikkate alarak suçun belirleyicilerini açıklamayı
hedeflemektedir. Arkansas eyaleti ve bu eyalet içerisinden 4 şehir rassal
olarak seçilmiştir. Standart en küçük kareler ekonometrik tahmin sisteminin
küme dirençli standart hatalar yöntemiyle kullanılmasıyla elde edilen tahmin
sonuçları, gelir düzeyinin negatif ve tutuklanma olasılığının suç piyasasına
katılımı pozitif ve istatistiki olarak anlamlı olarak etkilediğini
göstermiştir. Bu çalışmanın en önemli bulgusu erkek ve kadınlar arasında gelir
farkının artmasının erkeklerin, kadınlara göre, suç işleme oranını arttırdığını
göstermesidir. Sonuçlar literatürden farklı olarak, tutuklanma olasılığının
belirli bir eşik değerinden sonra, suç oranlarını arttırdığını göstermektedir.

References

  • Akerlof, G., Kranton, R.,( 2005), Identity and the Economics of Organizations, Journal of Economic Perspectives, Volume 19, Number 1, 9-32 Arellano, M., (1987), Computing Robust Standard Errors for Within-Group Estimators, Oxford Bulletin of Economics and Statistic, Volume 49 No. 4, 431-434
  • Becker, G., (1968),Crime and Punishment: An Economic Approach, Journal of Political Economy, No:2, 169-217 Cameron, C., Miller D., (2015), A Practitioner’s Guide to Cluster-Robust Inference, Journal of Human Resources, Volume 50 No 2, 317-373 Campaniello, N., Gavrilova E., (2015), Uncovering the Gender Participation Gap in the Crime Market, IZA Discussion Papers, Iza DP No.8982 Campaniello, N.,(2014), Women in Crime, IZA World of Labor IPUMS, Us Census Data for Social, Economic and Health Research , https://www.ipums.org/, (Erisim Tarihi: 2.12.2017) Liang, K., Scott L. Z.,. (1986). Longitudinal Data Analysis Using Generalized Linear Models, Biometrika Volume 73 No.1, 13-22. NIBRS, National Incident-Based Reporting System Series, https://www.icpsr.umich.edu/icpsrweb/NACJD/series/128, (Erisim Tarihi: 1.2.2012) White, H., (1984), Asymptotic Theory for Econometricians, San Diego: Academic Press

An Econometric Investigation of the Impact of Gender Income Gap on the Gender Gap in Crime: The Case of Arkansas State

Year 2018, Volume: 6 Issue: 6, 1001 - 1010, 02.12.2018

Abstract

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.   

References

  • Akerlof, G., Kranton, R.,( 2005), Identity and the Economics of Organizations, Journal of Economic Perspectives, Volume 19, Number 1, 9-32 Arellano, M., (1987), Computing Robust Standard Errors for Within-Group Estimators, Oxford Bulletin of Economics and Statistic, Volume 49 No. 4, 431-434
  • Becker, G., (1968),Crime and Punishment: An Economic Approach, Journal of Political Economy, No:2, 169-217 Cameron, C., Miller D., (2015), A Practitioner’s Guide to Cluster-Robust Inference, Journal of Human Resources, Volume 50 No 2, 317-373 Campaniello, N., Gavrilova E., (2015), Uncovering the Gender Participation Gap in the Crime Market, IZA Discussion Papers, Iza DP No.8982 Campaniello, N.,(2014), Women in Crime, IZA World of Labor IPUMS, Us Census Data for Social, Economic and Health Research , https://www.ipums.org/, (Erisim Tarihi: 2.12.2017) Liang, K., Scott L. Z.,. (1986). Longitudinal Data Analysis Using Generalized Linear Models, Biometrika Volume 73 No.1, 13-22. NIBRS, National Incident-Based Reporting System Series, https://www.icpsr.umich.edu/icpsrweb/NACJD/series/128, (Erisim Tarihi: 1.2.2012) White, H., (1984), Asymptotic Theory for Econometricians, San Diego: Academic Press
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Details

Primary Language English
Journal Section Research Article
Authors

Deniz Guvercin

Publication Date December 2, 2018
Acceptance Date May 28, 2018
Published in Issue Year 2018 Volume: 6 Issue: 6

Cite

APA Guvercin, D. (2018). An Econometric Investigation of the Impact of Gender Income Gap on the Gender Gap in Crime: The Case of Arkansas State. Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi, 6(6), 1001-1010.

Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi Creative Commons Atıf-GayriTicari 4.0 Uluslararası Lisansı (CC BY NC) ile lisanslanmıştır.