معرفی
Matthew A. Masten is an Associate Professor of Economics at Duke University, affiliated with the Trinity College of Arts & Sciences. He holds a PhD from Northwestern University (2013). His research focuses on econometrics, causal inference, and robustness/sensitivity analysis in treatment effect estimation. He has received the NSF CAREER Award (2020–2025) and was tenured at Duke in 2021. His work emphasizes identification under weak assumptions and develops methods for assessing sensitivity to unconfoundedness and unobserved confounding. He has contributed Stata packages like ivcrc and tesensitivity for econometric analysis.
His recent articles explore minimax-regret treatment rules, exogeneity assumptions in potential outcomes, and sensitivity analysis techniques. He teaches advanced econometrics courses (ECON 703D, ECON 899) and leads research on correlated random coefficients and instrumental variable models. His grants include foundational work on sensitivity analysis in econometrics.
Key awards/grants: NSF CAREER Award (2020–2025), Tenured Faculty Recognition (2021). His research bridges theoretical econometrics with practical applications, emphasizing robustness and methodological innovation.
