معرفی
Michael Pollmann is an Assistant Professor of Economics at Duke University’s Trinity College of Arts & Sciences. His research focuses on econometrics, causal inference, and machine learning, with a particular emphasis on spatial data analysis and healthcare economics. He holds a PhD from Stanford University (2022), where he also earned an MA (2020) and served as a teaching assistant and instructor for econometrics and math courses.
Education:
- PhD in Economics, Stanford University, 2022
- MA in Economics, Stanford University, 2020
- MSc in Econometrics & Operations Research, Maastricht University, 2015
- BSc in Econometrics & Operations Research, Maastricht University, 2014
Research Interests: Pollmann develops novel econometric methods for causal inference, including semi-parametric approaches for randomized experiments and spatial treatment analysis. His work bridges traditional econometric techniques with modern machine learning tools, addressing challenges in healthcare policy, treatment effect estimation, and policy evaluation.
Awards:
- Recipient of the B. F. Haley and E. S. Shaw Fellowship (2021–22)
- Outstanding Teaching Assistant Award (Stanford, 2018 & 2019)
- Participant in the Lindau Nobel Laureate Meeting on Economic Sciences (2022)
Teaching & Service: At Duke, he teaches advanced econometrics and causal data analysis courses. He co-organizes the Gary Chamberlain Online Seminar in Economics and actively participates in PhD admissions and junior faculty recruitment. His professional activities include refereeing for top journals like the American Economic Review and Econometrica.
Labs/Teams: Collaborates with institutions such as LMU Munich, University of Bonn, and University of Mannheim, focusing on interdisciplinary research in econometrics and applied economics.
