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SMU SOE Online Seminar (Nov 29, 2021, 9.00am-10.30am): Physician Learning and Treatment Choices: Evidence from Brain Aneurysms
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TOPIC:
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PHYSICIAN LEARNING AND TREATMENT CHOICES: EVIDENCE FROM BRAIN ANEURYSMS
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ABSTRACT
I examine how two types of physician learning jointly shape their medical decision-making: Bayesian learning that updates beliefs about treatment-patient match quality and learning by doing that improves surgical skills. Using discharge-level data on the history of brain aneurysm treatments by over 400 new physicians in New York State, I first document empirical evidence that both types of learning are present and affect the choices of forward-looking physicians. I then develop and estimate a dynamic structural model of learning and treatment choices for heterogeneous patients. I quantify the impacts of learning and find that (i) learning leads to a substantial deviation from the myopic best choices, hurting short-term patient outcomes but improving the overall treatment success rates by 18-25%; (ii) learning explains about one-third of the supply-side variation in the choices of care, with Bayesian learning contributing to the convergence of choices and learning by doing the divergence of choices. In the counterfactual experiments, I evaluate how alternative payment schemes and incentive programs would affect the treatment choices and patient outcomes.
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This seminar will be held virtually via Zoom. A confirmation email with the Zoom details will be sent to the registered email by 26 November 2021.
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PRESENTER
Qing Gong
University of North Carolina at Chapel Hill
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RESEARCH FIELDS
Health Economics
Public Economics
Applied Microeconomics
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DATE:
29 November 2021 (Monday)
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TIME:
9.00am - 10.30am
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