Hospital Mergers, Markups, and Executive Compensation
Paper Session
Sunday, Jan. 7, 2024 10:15 AM - 12:15 PM (CST)
- Chair: Maura Coughlin, Rice University
Markups and Mergers in the U.S. Hospital Industry
Abstract
In this paper, we construct a hospital-level panel dataset covering the entire US hospital industry over the period 1996-2018. Using detailed hospital-level expenditure and revenue data, we measure hospital-level markups and document industry-wide increasing markups of about 18 percent. In addition, we confirm hospital-level markup estimates documented in the literature that were obtained using alternative approaches. We then relate markups to merger activity across hospital markets, and we find a strong association between markups and mergers at the market level. In particular, we find that mergers on average can explain about 3 of the 18 percent increase in markups. Our results indicate that market-level markups do not increase due to reallocation of market shares to higher markup hospitals, rather by an increase of markups at hospitals involved in mergers. We confirm that hospital system-wide mergers are the main factor driving the estimated merger-markup effect.The Determinants of Non-Profit Hospital Executives’ Compensation
Abstract
We compare the relative importance of financial performance, community benefit, and quality of care in determining hospital executive compensation. We examine changes in executive pay between 2012 and 2019, when substantial health system consolidation was accompanied by noticeable increases in hospital prices and profit margins. We merge compensation data from IRS 990 forms provided by Candid with financial and community benefit data in the National Academy for State Health Policy (NASHP) Hospital Cost Tool (HCT), as well as quality data from the Medicare Hospital Compare dataset. We examine CEO pay, as well as the combined pay of the top five hospital executives who were not directly providing clinical care. Executive pay is examined at the healthcare system level, and the number of beds and number of hospitals are included as explanatory variables to control for system complexity. We examine the association between changes in executive compensation between 2012 and 2019 and changes in the explanatory variables, as well as differences in the magnitude of the coefficients when regressions are estimated separately for these two years. Preliminary analyses suggest that financial performance measures are closely related to executive compensation. Community benefit measures are not associated with hospital executive pay, and only some measures of quality are related to executive compensation.Discussant(s)
Haizhen Lin
,
Indiana University
Devesh Raval
,
Federal Trade Commission
Mireille Jacobson
,
University of Southern California
JEL Classifications
- I1 - Health
- L1 - Market Structure, Firm Strategy, and Market Performance