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Paul Schrimpf is an associate professor at the Vancouver School of Economics, University of British Columbia. His research focuses on econometrics and industrial organization, with current projects involving dynamic games, partial identification, and insurance. He holds a Ph.D. from MIT. His work includes studies on the economic implications of health insurance contracts and the estimation of production functions with unobserved heterogeneity. Schrimpf's research explores both theoretical and applied econometric methods, contributing to understanding behavioral responses to non-linear incentives and the welfare costs of asymmetric information.


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Paul Schrimpf is an Associate Professor of Economics at the University of British Columbia, specializing in econometrics, insurance, selection, dynamic decision models, and dynamic games. His research explores causal impacts of policies, such as mask mandates and school openings, on public health outcomes during the COVID-19 pandemic. He also investigates asymmetric information in markets like annuities and Medicare Part D, focusing on welfare implications. His work includes dynamic game models and econometric methods for analyzing nonlinear contracts and production functions with unobserved heterogeneity. Schrimpf's research emphasizes rigorous identification and estimation techniques in applied economics.

Source: google_scholar · 94 words
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