Abstract:This paper combines machine learning and econometrics to explore the relationship between multidimensional poverty components and violence in Colombia. First, I create a directed acyclic graph (DAG) using Bayesian networks and census data to predict how multidimensional poverty components are interrelated. I find that minimum living standards— measured in terms of access to water, connection to the sewage system, and the quality of walls and floors—are strong predictors of the education and health dimensions o… Show more
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