We compare Least Squares, Maximum Likelihood and Bayesian approaches to estimation in a Hedonic context. The approaches are compared from theoretical and practical perspectives and from the viewpoint of a policy maker or urban planner. The approaches are applied to data on the property market in...

Using a (second stage) hedonic housing model, this paper identifies an inverse demand function for air quality in Bogota, the fourth most polluted city in Latin America (annual average of PM10 52 mg/m3). We use precipitation and distance to monitoring stations as instruments for pollution. We...

Spanish Abstract: La relación entre vegetación y criminalidad ha sido motivo de investigación reciente entre estudiosos del entorno urbano. Se argumenta que si bien la vegetación puede tener efectos positivos sobre la salud humana, por otro lado podría relacionarse con una mayor propensión...

A considerable body of literature has shown that heat affects individual behavior and decision-making. Surprisingly, almost nothing is known about the impact of heat on voting decisions. Using municipal-level voting data for the 2016 Peace Plebiscite in Colombia ratifying the peace agreement...

We empirically compare the accuracy and precision of representative Least Squares, Maximum Likelihood and Bayesian methods of estimation. Using an approach similar to the jackknife, each method is repeatedly applied to subsamples of a data set on the property market in Bogotá, Colombia to...

Este estudio presenta un modelo de elección discreta para examinar los determinantes de la decisión de migrar por parte de los trabajadores agrícolas que participan en la principal cosecha de la región central cafetera de Colombia. Para las estimaciones se utilizaron datos de una encuesta...