Can machine learning help policymakers detect conflict?
Hannes Mueller and Christopher Rauh present a new method of predicting conflict through news topics which are generated automatically from a topic model.
Hannes Mueller and Christopher Rauh present a new method of predicting conflict through news topics which are generated automatically from a topic model.
Edward Glaeser and Giacomo Ponzetto explore the political consequences when voters underestimate the importance of circumstances and overstate the importance of enduring personal characteristics.
Researchers in the Barcelona GSE community have written several widely-read articles on CEPR’s policy portal, VoxEU.
Özlem Akin, Nicholas S. Coleman, Christian Fons-Rosen and José-Luis Peydró use insider trading data to determine whether political connections led to private information flows from regulators to bankers before bank-specific TARP bailout decisions were made public.