6 resultados para processos-crime
em Universidad del Rosario, Colombia
Resumo:
This paper estimates the impact of a massive negative income shock led by the simultaneous crash down of several Ponzi schemes (also known as financial ``pyramids"") in Colombia on crime rates at the municipal level. Using novel data on the spatial incidence of the latest wave of Colombian pyramids and their crash down date, I estimate difference-in-differences models with both monthly and yearly frequency. I find that the negative income shock of the pyramids" crash down differentially exacerbates crime in affected municipalities compared to those with no presence of Ponzi schemes. This is true for minor offenses like commercial theft or residential burglary, but not for major crimes as murder or terrorism.
Resumo:
The present work exposes a review about the performance of the “traditional” thesis(Naturalistic) of the swindle crime in front of the needs of the present’s Political Policy.For this system, the various frauds’ elements require a causal relationship. Today itmight be wondered whether this solution is desirable, i.e. whether respond efficientlyto the problematic assumptions that the contemporary business practices raises.
Resumo:
Over the last decades the issue of insecurity due to an increase in crime rates and its possible impact on the stability of Latin American democracies has sparked an ongoing debate. In this context, the present article studies, for the case of Argentina, how experiences and sensations of insecurity may be articulated to demands for greater punitive rigor. The analysis is based on two types of information. Initially, data from international surveys such as Latinoabarometer are considered. Then, these are compared to data from prolonged on-site observations in a poor neighborhood of a mid-sized Argentine city. The combination of these different types of data shows the complexity of the process. Contrary to what is often assumed, experiences and sensations of insecurity do not lineally lead to demands for greater punitive rigor. The way in which social actors elaborate their experiences of insecurity is highly situational and not systematic. We have found that there is not necessarily a consistent process of ‘meaning construction’ that articulates experiences and sensations of insecurity with political demands.
Resumo:
Using a unique neighborhood crime dataset for Bogotá in 2011, this study uses a spatial econometric approach and examines the role of socioeconomic and agglomeration variables in explaining the variance of crime. It uses two different types of crime, violent crime represented in homicides and property crime represented in residential burglaries. These two types of crime are then measured in non-standard crime statistics that are created as the area incidence for each crime in the neighborhood. The existence of crime hotspots in Bogotá has been shown in most of the literature, and using these non-standard crime statistics at this neighborhood level some hotspots arise again, thus validating the use of a spatial approach for these new crime statistics. The final specification includes socioeconomic, agglomeration, land-use and visual aspect variables that are then included in a SARAR model an estimated by the procedure devised by Kelejian and Prucha (2009). The resulting coefficients and marginal effects show the relevance of these crime hotspots which is similar with most previous studies. However, socioeconomic variables are significant and show the importance of age, and education. Agglomeration variables are significant and thus more densely populated areas are correlated with more crime. Interestingly, both types of crimes do not have the same significant covariates. Education and young male population have a different sign for homicide and residential burglaries. Inequality matters for homicides while higher real estate valuation matters for residential burglaries. Finally, density impacts positively both crimes.
Resumo:
We document the existence of a Crime Kuznets Curve in US states since the 1970s. As income levels have risen, crime has followed an inverted U-shaped pattern, first increasing and then dropping. The Crime Kuznets Curve is not explained by income inequality. In fact, we show that during the sample period inequality has risen monotonically with income, ruling out the traditional Kuznets Curve. Our finding is robust to adding a large set of controls that are used in the literature to explain the incidence of crime, as well as to controlling for state and year fixed effects. The Curve is also revealed in nonparametric specifications. The Crime Kuznets Curve exists for property crime and for some categories of violent crime.
Resumo:
In November 2008, Colombian authorities dismantled a network of Ponzi schemes, making hundreds of thousands of investors lose tens of millions of dollars throughout the country. Using original data on the geographical incidence of the Ponzi schemes, this paper estimates the impact of their break down on crime. We find that the crash of Ponzi schemes differentially exacerbated crime in affected districts. Confirming the intuition of the standard economic model of crime, this effect is only present in places with relatively weak judicial and law enforcement institutions, and with little access to consumption smoothing mechanisms such as microcredit. In addition, we show that, with the exception of economically-motivated felonies such as robbery, violent crime is not affected by the negative shock.