In this paper, I estimate the demand for housing in Bogotá, modeling electricity consumption explicitly to take into account the crossed subsidies included in Colombian utility rates. I use household level data on housing prices, observable dwelling attributes, and demographic variables to...

Using data from Medellín, second largest city in Colombia, we asses in this paper how a set of neighborhood characteristics determines wages and labor supply for workers in the city. We use GIS data to construct measures of the quality of environments where workers live. This paper focuses in...

We use hedonic price models to estimate the value households are willing to pay to avoidviolent crime in the city of Bogotá. We find that households living in the highestsocioeconomic level (stratum 6) pay up to 7.2% of their house values in order to preventaverage homicide rates from...

Under the view that the market is a weighted and directed network (Barabási, 2003), this document is a first attempt to model the Colombian money market within a spatial econometrics framework. By estimating two standard spatial econometric models, we study the cost of collateralized borrowing...

We use data of neighborhoods of Bogotá to assess the causal relation between their adolescent fertility and their homicide rates. We find that neighborhoods with high adolescent fertility rates, and that have low secondary enrollment and high crime rates at the moment the children of their teen...

The empirical literature about economic growth has usually ignored spatial interdependence among countries. This paper uses spatial econometrics to estimate a growth model that includes cross-country interdependence, in which a country’s economic growth depends on the growth rate of its...