Skip to main content
Log in

Inefficient or Not, Hospitals Are Overcharging

  • Published:
International Advances in Economic Research Aims and scope Submit manuscript

Abstract

A sizable literature related to the efficiency of the U.S. hospital sector has been produced over the past 30 years. Much of this research is based on stochastic frontier analysis. This approach is problematic for a number of reasons. For one, a functional form for a hospital’s cost function must be assumed, and a limited number of forms are tractable. Second, inefficiency is measured as the expectation of a random variable with a pre-determined distribution, with no theoretical justification for the underlying assumption, that observed cost equals minimum cost plus some non-negative, random amount. Thus, the conclusion reached by most of these studies, that U.S. hospitals are inefficient, may not be foregone. Using an entirely different methodology that obviates these shortcomings, the current study suggests that whether or not hospitals are efficient, their revenues have not been increasing in proportion to the minimum cost of providing their services. This study’s estimates of the impact of input prices and technology on production costs indicate that between 2000 and 2017, hospital revenues increased at a substantially higher rate than hospital costs. This study suggests that hospitals are pricing their services well above average cost. As a result, in 2017 over $200 billion could have been transferred from patients to the hospital sector, whether due to the proclivity of hospital administrators to purchase more inputs than are necessary for production, or to subsidize activities other than patient care.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Notes

  1. Stochastic frontier analysis has almost always led to the conclusion that hospitals are inefficient. However, as Newhouse (1994, p. 320) pointed out: “Strong and non-testable assumptions must be made to obtain results with these methods.” See Mutter et al. (2011) for a more recent discussion of the limitations of these two methodologies.

  2. The most commonly used datum for the cost incurred by a U.S. hospital comes from cost reports filed with Medicare, the medical insurance provided to elderly U.S. residents by the federal government of the United States.

  3. 63 Michigan hospitals are listed in the American Hospital Directory (2021). The hospitals used in this study to calculate shares were those whose U.S. Internal Revenue Service 990 Forms were available on the website Propublica (2021).

  4. These percentages do not add to 1 since there are a number of categories of spending on the 990 Form in addition to these six (e.g., spending on lobbying, advertising, travel, and conference attendance).

  5. The Bureau of Labor Statistics industry code is 622000; the occupation codes are, respectively, 29–1060, 29–1141, 29–0000, 31–0000, 43–0000, 13–0000, 11–0000, 35–0000, 37–0000.

  6. The weights were, respectively, 0.0107, 0.259, 0.2367, 0.1272, 0.1514, 0.0171, 0.0386, 0.0298, 0.0393.

  7. See Table 1.1.4, Bureau of Economic Analysis (2021b). For 2000, 2009, and 2017 the index values for structures were 55.283, 92.613, and 112.668, respectively. The values for equipment were 114.224, 103.169, and 97.565, respectively. As a check, the indexes of five types of equipment were examined: air conditioning and refrigeration equipment (1148), electronic computers & computer equipment (115), x-ray & electro-medical equipment (1179–05), office machinery & parts (1193–07), and surgical & medical instruments (1562) (Bureau of Labor Statistics 2017a, 2009a, 2000, Table 6 in the 2000 and 2009 issues, and Table 9 in the 2017 issue). The averages of the percentage changes in these indexes were negative for both periods and comparable to the percentages changes in the Bureau of Economic Analysis (2021b) index for equipment. The percentage change in the prices of supplies was based on producer price index industry data for general medical and surgical hospitals.

  8. In 2000, the current cost of the net stock of equipment owned by hospitals was $82.2 billion. The value of hospital structures was $336.8 billion. Thus, the weights for structures and equipment were 0.8038 and 0.1962.

  9. The data on depreciation are from the Bureau of Economic Analysis (2021a, Table 3.1ESI and Table 3.4ESI). The bond rates are from the St. Louis Federal Reserve Bank (2021).

  10. Technically, a change in the product mix would affect cost shares. If the shares of higher priced inputs (e.g., doctors) increased due to a change in the mix, the increase in costs over time would be greater than otherwise.

  11. The number of injury-related visits to emergency rooms fell from 31.7 million in 2006 to 30.4 million in 2013 (U.S. Department of Health and Human Services 2016, Table 75, p. 284).

  12. The 19 stochastic frontier analysis studies in Rosko and Mutter (2008) found that costs were anywhere from 8 to 38% greater than minimum costs (Table 1). These studies span a 20+ year period (1985–2006).

  13. Some of the difference between revenues and input costs finances charity care from hospitals. Whether or not this is the most efficient way of providing hospital care to those unable to pay for that care is beyond the scope of this study.

References

Download references

Acknowledgements

We are extremely grateful to an anonymous referee for their comments and suggestions, particularly so for their diligence in checking our calculations.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jon Neill.

Ethics declarations

Declarations of Interests

None.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Alexander, D., Neill, J. Inefficient or Not, Hospitals Are Overcharging. Int Adv Econ Res 27, 273–286 (2021). https://doi.org/10.1007/s11294-022-09840-z

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11294-022-09840-z

Keywords

JEL Classification Codes

Navigation