Eduardo Fe

Eduardo Fe is a Senior Lecturer in Social Statistics at the University of Manchester's Department of Social Statistics. Previously, he held roles as a Senior Researcher at the University of Oxford's Blavatnik School of Government and a Lecturer at the University of Strathclyde. He earned his PhD in Econometrics from the University of Manchester, supported by Fundación Ramón Areces, and completed undergraduate studies in Business Administration at the University of Cantabria, with a year abroad at the University of Ulster.

His research focuses on causal inference and nonparametric methods, particularly in health and cognitive development over lifetimes. Key areas include retirement effects, crime statistics underreporting, and early-life experiences' long-term impacts. He also explores econometric modeling, partial identification frameworks, and stochastic frontiers.

Eduardo has contributed to leading journals like the Journal of Political Economy and Journal of the Royal Statistical Society. His work bridges theory and application, including co-developing the Poisson Log-Half Normal distribution for count data analysis. He is affiliated with the Cathie Marsh Institute and actively contributes to open-source statistical tools, such as the sfcount Stata command.

His GitHub repositories highlight collaborations on machine learning in causal inference, econometrics education, and health economics simulations. He supervises PhD students in applied econometrics, experimental economics, and psychology.