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Bayesian Inference for Hospital Quality in a Selection Model Author info | Abstract | Publisher info | Download info | Related research | Statistics John Geweke
Gautam Gowrisankaran
Robert J. Town
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This paper develops new econometric methods to infer hospital quality in a model with discrete dependent variables and nonrandom 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 the highest quality. There is strong evidence of dependence between the unobserved severity of illness and the assignment of patients to hospitals, whereby patients with a high unobserved severity of illness are disproportionately admitted to high quality hospitals. Consequently a conventional probit model leads to inferences about quality that are markedly different from those in this study's selection model. Copyright The Econometric Society 2003.
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Article provided by Econometric Society in its journal Econometrica .
Volume (Year): 71 (2003)
Issue (Month): 4 (07)
Pages: 1215-1238
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Handle: RePEc:ecm:emetrp:v:71:y:2003:i:4:p:1215-1238Contact details of provider: Phone: 1 212 998 3820 Fax: 1 212 995 4487 Email: Web page: http://www.econometricsociety.org/ More information through EDIRC
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.: Gowrisankaran, Gautam & Town, Robert J., 1999.
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Other versions:
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.
[Downloadable!] (restricted) John Geweke & Gautam Gowrisankaran & Robert J. Town, 2003.
"Bayesian Inference for Hospital Quality in a Selection Model ,"
Econometrica ,
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