Andreas Hagemann

Andreas Hagemann is an Associate Professor of Business Economics and Public Policy at the Stephen M. Ross School of Business, University of Michigan. As of 2024/25, he is on sabbatical leave. His work focuses on econometric methods, causal inference, and quantitative strategies in business and policy contexts.

Research interests include cluster-robust statistical techniques, permutation inference, collider bias in management studies, and quantile regression applications. His contributions span methodological advancements and applied analyses in areas like treatment effect evaluation, policy impact assessment, and behavioral economics.

Key publications address challenges in finite cluster inference, moral hazard in airline frequent flyer programs, and the causal effects of college education on mortality. His methodological work has led to software implementations in R, such as the 'quantreg' package's cluster option.

He collaborates with scholars across disciplines, including marketing science (e.g., Y. Orhun and T. Guo) and health economics (e.g., K. Buckles). His research emphasizes rigorous statistical frameworks for addressing real-world economic questions and policy design.