Factors influencing crime rates: an econometric analysis approach

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Conference Proceedings (fully refereed)
John M. A. Bothos, Stelios C. A. Thomopoulos
The scope of the present study is to research the dynamics that determine the commission of crimes in the US society. Our study is part of a model we are developing to understand urban crime dynamics and to enhance citizens’ “perception of security” in large urban environments. The main targets of our research are to highlight dependence of crime rates on certain social and economic factors and basic elements of state anticrime policies. In conducting our research, we use as guides previous relevant studies on crime dependence, that were conducted trying to make similar quantitative analyses, regarding the dependence of crime on certain social and economic factors, using statistics and econometric modelling. Our first approach consists of conceptual state space dynamic cross-sectional econometric models that incorporate a feedback loop that describes crime as a feedback process. In order to define dynamically the model variables, we use statistical analysis on crime records and on records about social and economic conditions and policing characteristics (like police force and policing results – crime arrests), to determine the influence of them, as independent variables, on crime, as a dependent variable of the model. The econometric models we apply in this first approach are an exponential log linear model and a logit model. In a second approach, we also try to study the evolvement of violent crime through time in the US, independently as an autonomous social phenomenon, using autoregressive and moving average time-series econometric models. Our findings show that there are certain social and economic characteristics that affect the formation of crime rates in the US, either positively or negatively. Furthermore, the results of our time-series econometric modelling show that violent crime, viewed solely and independently as a social phenomenon, correlates with previous years crime rates and depends on the social and economic environment’s conditions during previous years.
Integrated Systems Laboratory (ISL)
Conference Short Name: 
Conference Full Name: 
SPIE Defence and Security 2016
Conference Country: 
US:United States
Conference City: 
Conference Venue: 
Baltimore Convention Center
Conference Date(s): 
Sun, 17/04/2016 - Thu, 21/04/2016
Conference Level: 

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