Government-Crime: Difference between revisions
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[https://www.sciencedirect.com/science/article/abs/pii/S0305750X22001231 by Phoebe W. Ishak 9/22 ScienceDirect] | [https://www.sciencedirect.com/science/article/abs/pii/S0305750X22001231 by Phoebe W. Ishak 9/22 ScienceDirect] | ||
This paper examines the effect of weather shocks on violent crime using disaggregated data from Brazilian municipalities over the period 1991–2015. Employing a distributed lag model that takes into account temporal correlations of weather shocks and spatial correlation of crime rates, I document that adverse weather shocks in the form of droughts lead to a significant increase in violent crime in rural regions. | This paper examines the effect of weather shocks on violent crime using disaggregated data from Brazilian municipalities over the period 1991–2015. Employing a distributed lag model that takes into account temporal correlations of weather shocks and spatial correlation of crime rates, I document that adverse weather shocks in the form of droughts lead to a significant increase in violent crime in rural regions. | ||
=====Trends and patterns in homicides in Italy: A 34-year descriptive study===== | |||
[https://www.sciencedirect.com/science/article/abs/pii/S0379073820300037 by Monica Vichi 2/20 ScienceDirect] | |||
We collected data from the Italian Mortality Database (Italian National Institute of Statistics), for the study period. Temporal trends were analyzed using joinpoint regression analysis, with estimated annual percentage change computed for each detected trend. The possible effect of the mafia subculture was examined using an indicator of mafia social penetration. Differences between age classes, genders, geographical regions, and homicide methods were also analyzed. | |||
