Professor Frank DiTraglia

About

Professor Frank DiTraglia is an applied econometrician, an Associate Professor of Economics at the University of Oxford, and a Tutor and Fellow in Economics at Lady Margaret Hall. He is also a visiting researcher at the Federal Reserve Bank of Chicago.

His research uses data to answer economic and public policy questions and develops statistical methods for untangling cause-and-effect. On the methodological side, Professor DiTraglia's interests include causal inference, instrumental variables, measurement error, spillovers and Bayesian inference. On the applied side, recent and ongoing work includes a project using machine learning to predict the prevalence of lead poisoning in young children, an experimental study of pawnbroking in Mexico City and a study that uses economic modelling to explain patterns of paramilitary violence in Colombia in during the 1990s and early 2000s.

Professor DiTraglia is a co-founder of SQARE.org and blogs about econometrics, statistics and R programming at econometrics.blog.