John Rust

John Rust is a Professor of Economics at Georgetown University, with affiliations spanning multiple institutions including Howard University, the University of Maryland, Yale University, and others. He specializes in econometrics, structural estimation, computational economics, and behavioral economics. His research focuses on dynamic decision models, social insurance, and market design. Rust has taught courses such as Computational Economics, Behavioral Economics, and advanced econometrics at both undergraduate and graduate levels.

His academic contributions include pioneering work on the Nested Fixed Point Maximum Likelihood (NFXP) algorithm for estimating dynamic discrete choice models. He has also served on panels for the Social Security Advisory Board and the National Science Foundation, advising on topics like retirement policy and social insurance. Rust frequently collaborates with institutions globally, including the Tinbergen Institute and the Institute for Advanced Studies in Vienna, delivering lectures on structural econometrics and dynamic modeling.

Rust’s research extends to applied domains such as commodity price speculation, healthcare policy, and auto rental replacement strategies. His work bridges theoretical econometrics with practical policy analysis, emphasizing the use of computational tools to address complex economic problems. He has authored influential papers on the ‘curse of dimensionality,’ optimal decision-making under regulatory shifts, and equilibrium analysis in automobile markets.

His professional service includes organizing conferences like the 7th International Conference of the Society for Computational Economics and co-chairing the Cowles Conference on Econometrics. Rust’s courses at Georgetown emphasize rigorous mathematical training and computational methods, preparing students for advanced research in economics.