We analyze the evolution of health insurer costs in Massachusetts between 2010-2012, paying particular attention to changes in the composition of enrollees. This was a period in which Health Maintenance Organizations (HMOs) increasingly used physician cost control incentives but Preferred...

We estimate an insurer-specific preference function which rationalizes hospital referrals for privately-insured births in California. The function is additively separable in: a hospital price paid by the insurer, the distance traveled, and plan and severity-specific hospital fixed effects...

Our calculations indicate that currently proposed U.S. policies to reduce pharmaceutical prices, though particularly beneficial for low-income and elderly populations, could dramatically reduce firms' investment in highly welfare-improving R&D. The U.S. subsidizes the worldwide pharmaceutical...

<p>This paper provides conditions under which the inequality constraints generated by either single agent optimizing behavior, or by the Nash equilibria of multiple agent problems, can be used as a basis for estimation and inference. We also add to the econometric literature on inference in models...</p>

Commercial health insurers in California use provider capitation payments to different extents. These are similar to arrangements introduced by the recent health reforms to give physicians incentives to control costs. In a previous paper we showed that patients whose insurers used capitation...

We estimate an insurer-specific preference function which rationalizes hospital referrals for privately-insured births in California. The function is additively separable in: a hospital price paid by the insurer, the distance traveled, and plan and severity-specific hospital fixed effects...

Advances in the study of partial identification allow applied researchers to learn about parameters of interest without making assumptions needed to guarantee point identification. We discuss the roles that assumptions and data play in partial identification analysis, with the goal of providing...

Advances in the study of partial identification allow applied researchers to learn about parameters of interest without making assumptions needed to guarantee point identification. We discuss the roles that assumptions and data play in partial identification analysis, with the goal of providing...