Now showing items 1-3 of 3
Exploring the Potential of Machine Learning for Automatic Slum Identification from VHE Imagery
Slum identification in urban settlements is a crucial step in the process of formulation of propoor policies. However, the use of conventional methods for slums detection such as field surveys may result time consuming and ...
Crime Protection Investment Spillovers: Theory and Evidence from the City of Buenos Aires
This paper studies spillover effects among potential crime victims from investment in observable protection technologies. Criminals and potential victims interact in a frictional market for offenses. Externalities within ...
Pax Monopolista and Crime: The Case of the Emergence of the Primeiro Comando da Capital in São Paulo
This paper documents a rare phenomenon: the consequence of the dominance of a single criminal gang in the city of São Paulo, the Primeiro Comando da Capital (PCC). Using unique data to identify entry in geographically ...