Benjamin Deaner

Benjamin Deaner is a Lecturer in Economics at University College London (UCL), specializing in econometric methods for causal inference. His work focuses on nonparametric approaches that avoid parametric assumptions, with applications in panel data econometrics, instrumental variables, and proximal causal inference.

• Education: PhD in Economics, Massachusetts Institute of Technology (MIT)
• Research: Causal inference, difference-in-differences, duration analysis, and machine learning in economics
• Teaching: ECON0125 "Data Science Theory" and ECON0126 "Machine Learning in Economics" for the Master's in Data Science for Public Policy program
• Contact: b.deaner@ucl.ac.uk | bendeaner.com

His research explores the balance between flexibility and robustness in instrumental variable analysis, as evidenced by his 2025 publication in the American Economic Review.