Malpractice Reform and the Sorting of New Physicians by Medical Human Capital

73 Pages Posted: 12 Mar 2018 Last revised: 2 Sep 2024

See all articles by Pinka Chatterji

Pinka Chatterji

National Bureau of Economic Research (NBER); State University of New York (SUNY) - Department of Economics

Siyang Li

University at Albany (SUNY)

Gerald Marschke

University at Albany - Department of Economics; National Bureau of Economic Research; Institute for the Study of Labor (IZA); Harvard Law School, Labor & Worklife Program

Date Written: March 2018

Abstract

We test whether state malpractice reforms differentially attract physicians whose human capital attributes may predispose them towards higher-than-average malpractice risk and lower quality patient care. Using an exit survey of physicians completing residencies between 1998 and 2017, we estimate willingness-to-pay to locate their first practice in a malpractice-reformed state. We find physicians are willing to forego on average about $11 in hourly wages to locate in a reform state. Training in a high vs. low-risk specialty, graduating from a less vs. more selective medical school, and training at a low vs. higher-ranked teaching hospital increases willingness-to-pay to locate in a reform state by $18 to $24 per hour. We argue that the generally strong human capital-bias in physician sorting responses to litigation reform may play a role in the geographic variation in patient care documented in the health literature.

Suggested Citation

Chatterji, Pinka and Li, Siyang and Marschke, Gerald R. and Marschke, Gerald R., Malpractice Reform and the Sorting of New Physicians by Medical Human Capital (March 2018). NBER Working Paper No. w24401, Available at SSRN: https://ssrn.com/abstract=3138351

Pinka Chatterji (Contact Author)

National Bureau of Economic Research (NBER) ( email )

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State University of New York (SUNY) - Department of Economics ( email )

Siyang Li

University at Albany (SUNY)

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Gerald R. Marschke

University at Albany - Department of Economics ( email )

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