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Paul Schrimpf is an Associate Professor in the Vancouver School of Economics at the University of British Columbia. He specializes in Econometrics, focusing on both theoretical and applied econometrics. His current research projects investigate dynamic games, partial identification, and insurance. Schrimpf obtained his Ph.D. from the Massachusetts Institute of Technology in Cambridge, MA, USA. His work includes analyzing large literature in empirical public finance, particularly involving the identification of behavioral responses to non-linear incentives. He studies the implications of these responses in various contexts, such as Medicare Part D insurance. He has developed two-step semiparametric estimators and has made significant contributions to the identification of payoff functions from observed distributions in continuous state models. Schrimpf has published papers detailing the demand response to non-linear price schedules in prescription drug purchases, illustrating the complex interactions between behavioral and strategic incentives in insurance markets. His research findings provide insights into welfare costs and optimal contract choices in the context of private information and mortality risk heterogeneity.
Offers course-only and thesis routes. Focus areas include philosophy of science, mind, ethics, and Asian philosophy.