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...

The objective of this study is to estimate the effects of competition for both Medicare and HMO patients on the quality decisions of hospitals in Southern California. We use discharge data from the State of California for the period 1989-1993. The outcome variables are the risk-adjusted hospital...

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...

We seek to estimate the effects of competition for both Medicare and HMO patients on the quality decisions of hospitals in Southern California. We find that increases in the degree of competition for HMO patients decrease risk-adjusted hospital mortality rates. Conversely, increases in...

This paper develops new econometric methods to estimate hospital quality and other models 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...