Bayesian Inference for Hospital Quality in a Selection Model
This paper develops new econometric methods to infer hospital quality in a model with discrete dependent variables and non-random selection. Mortality rates in patient discharge records are widely used to infer hospital quality. However, hospital admission is not random and some hospitals may attract patients with greater unobserved severity of illness than others. In this situation the assumption of random admission leads to spurious inference about hospital quality. This study controls for hospital selection using a model in which distance between the patient's residence and alternative hospitals are key exogenous variables. Bayesian inference in this model is feasible using a Markov chain Monte Carlo posterior simulator, and attaches posterior probabilities to quality comparisons between individual hospitals and groups of hospitals. The study uses data on 74,848 Medicare patients admitted to 114 hospitals in Los Angeles County from 1989 through 1992 with a diagnosis of pneumonia. It finds the smallest and largest hospitals to be of high quality and public hospitals to be of low quality. There is strong evidence of dependence between the unobserved severity of illness and the assignment of patients to hospitals. Consequently a conventional probit model leads to inferences about quality markedly different than those in this study's selection model.
|Date of creation:||Oct 2001|
|Date of revision:|
|Publication status:||published as Geweke, John, Gautam Gowrisankaran and Roert J. Town. "Bayesian Inference For Hospital Quality In A Selection Model," Econometrica, 2003, v71(4,Jul), 1215-1238.|
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- John Geweke & Gautam Gowrisankaran & Robert J. Town, 2001.
"Bayesian Inference for Hospital Quality in a Selection Model,"
NBER Working Papers
8497, National Bureau of Economic Research, Inc.
- John Geweke & Gautam Gowrisankaran & Robert J. Town, 2003. "Bayesian Inference for Hospital Quality in a Selection Model," Econometrica, Econometric Society, vol. 71(4), pages 1215-1238, 07.
- John Geweke & Gautam Gowrisankaran & Robert J. Town, 2002. "Bayesian inference for hospital quality in a selection model," Working Paper Series 2002-18, Federal Reserve Bank of San Francisco.
- Burns, Lawton R. & Wholey, Douglas R., 1992. "The impact of physician characteristics in conditional choice models for hospital care," Journal of Health Economics, Elsevier, vol. 11(1), pages 43-62, May.
- McClellan, Mark & Noguchi, Haruko, 1998. "Technological Change in Heart-Disease Treatment: Does High Tech Mean Low Value?," American Economic Review, American Economic Association, vol. 88(2), pages 90-96, May.
- Mark McClellan & Douglas Staiger, 1999.
"Comparing Hospital Quality at For-Profit and Not-for-Profit Hospitals,"
NBER Working Papers
7324, National Bureau of Economic Research, Inc.
- Mark B. McClellan & Douglas O. Staiger, 2000. "Comparing Hospital Quality at For-Profit and Not- for-Profit Hospitals," NBER Chapters, in: The Changing Hospital Industry: Comparing For-Profit and Not-for-Profit Institutions, pages 93-112 National Bureau of Economic Research, Inc.
- Cutler, David M, 1995.
"The Incidence of Adverse Medical Outcomes under Prospective Payment,"
Econometric Society, vol. 63(1), pages 29-50, January.
- Cutler, D.M., 1992. "The Incidence of Adverse Medical Outcome Under Prospective Payment," Harvard Institute of Economic Research Working Papers 1603, Harvard - Institute of Economic Research.
- David M. Cutler, 1993. "The Incidence of Adverse Medical Outcomes Under Prospective Payments," NBER Working Papers 4300, National Bureau of Economic Research, Inc.
- Geweke, John F. & Keane, Michael P. & Runkle, David E., 1997.
"Statistical inference in the multinomial multiperiod probit model,"
Journal of Econometrics,
Elsevier, vol. 80(1), pages 125-165, September.
- John F. Geweke & Michael P. Keane & David E. Runkle, 1994. "Statistical inference in the multinomial multiperiod probit model," Staff Report 177, Federal Reserve Bank of Minneapolis.
- Sloan, Frank A., 2000. "Not-for-profit ownership and hospital behavior," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 21, pages 1141-1174 Elsevier.
- Mark McClellan & Douglas Staiger, 1999. "The Quality of Health Care Providers," NBER Working Papers 7327, National Bureau of Economic Research, Inc.
- Daniel P. Kessler & Mark B. McClellan, 2000. "Is Hospital Competition Socially Wasteful?," The Quarterly Journal of Economics, MIT Press, vol. 115(2), pages 577-615, May.
- repec:cup:etheor:v:12:y:1996:i:3:p:409-31 is not listed on IDEAS
- repec:cup:cbooks:9780521589826 is not listed on IDEAS
- repec:cup:cbooks:9780521580137 is not listed on IDEAS
- repec:cup:cbooks:9780521589833 is not listed on IDEAS
- Siddhartha Chib & Edward Greenberg, 1994.
"Markov Chain Monte Carlo Simulation Methods in Econometrics,"
9408001, EconWPA, revised 24 Oct 1994.
- Chib, Siddhartha & Greenberg, Edward, 1996. "Markov Chain Monte Carlo Simulation Methods in Econometrics," Econometric Theory, Cambridge University Press, vol. 12(03), pages 409-431, August.
- Gowrisankaran, Gautam & Town, Robert J., 1999. "Estimating the quality of care in hospitals using instrumental variables," Journal of Health Economics, Elsevier, vol. 18(6), pages 747-767, December.
- Keane, Michael P, 1992. "A Note on Identification in the Multinomial Probit Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(2), pages 193-200, April.
- repec:cup:cbooks:9780521589819 is not listed on IDEAS
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