Violence and growth in colombia : a review of the quantitative literature

This is a critical review of the empirical literature on the relationship between violence and economic growth in Colombia: an interesting case study for social scientists studying violence, conflict, crime and development. We argue that, despite the rapid development of this literature and the increasing use of new techniques, there is still much room for research. After assessing the contribution of the most influential papers on the subject, we suggest directions for future research.

Relationship between siblings and psychological adjustment in adolescents:

This study evaluated the effect of parent-child relationship quality (acceptance and differential treatment) over dimensions of the quality of sibling relationships (warmth and conflict) and psychological adjustment in 69 adolescent sibling dyads. The effects of parent-child relationships were evaluated both at the individual and dyadic levels. In older siblings, the father-child relationship had a significant effect on both their perception of warmth in the sibling relationship and psychological adjustment. In younger siblings, there was a significant dyadic effect of the older sibling’s perceived acceptance by mother on their perception of warmth in the sibling relationship. Results are analyzed based on the literature and questions for future research are proposed.

Neighborhood characteristics and the spatial concentration of crime: Evidence for Bogotá

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.