Timothy B. Armstrong

Timothy B. Armstrong is a Professor of Economics at the University of Southern California (USC), affiliated with the Department of Economics within the USC Dornsife College of Letters, Arts and Sciences. His research focuses on econometric theory, statistical inference, and applied economics, emphasizing robust estimation, treatment effects analysis, and moment inequality models. Armstrong has contributed extensively to methodologies for confidence intervals, hypothesis testing, and model misspecification adjustments.

His work spans econometric topics such as optimal estimation of treatment effects under unconfoundedness, sensitivity analysis in approximate moment condition models, and adaptive testing in nonparametric regression. He has developed software tools (e.g., R and Stata packages) for robust empirical Bayes methods and bandwidth adjustments. Armstrong’s recent research addresses misspecification adaptation, panel data analysis, and false discovery rate adjustments in multiple testing scenarios.

Publications in top journals like Econometrica and Quantitative Economics reflect his expertise in econometric theory and applications. His grants and collaborations emphasize methodological advancements in statistical decision theory and empirical practice.