Institutional Affiliation: University of Technology Sydney
|Bayesian Inference for Hospital Quality in a Selection Model|
with , Robert J. Town: w8497
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 betwee...
Published: Geweke, John, Gautam Gowrisankaran and Roert J. Town. "Bayesian Inference For Hospital Quality In A Selection Model," Econometrica, 2003, v71(4,Jul), 1215-1238. citation courtesy of
|On Specification in Simultaneous Equation Models|
with Warren Dent
in Evaluation of Econometric Models, Jan Kmenta and James B. Ramsey, editors