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Bayesian inference for hospital quality in a selection model
Geweke, John; Gowrisankaran, Gautam; Town, Robert J. - In: Econometrica : journal of the Econometric Society, an … 71 (2003) 4, pp. 1215-1238
Persistent link: https://www.econbiz.de/10001792660
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Bayesian inference for hospital quality in a selection model
Geweke, John (contributor);  … - 2002 - [Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001721281
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Bayesian inference for hospital quality in a selection model
Geweke, John; Gowrisankaran, Gautam; Town, Robert J. - 2001
Persistent link: https://www.econbiz.de/10001618815
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Bayesian Inference for Hospital Quality in a Selection Model
Geweke, John - 2001
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 …
Persistent link: https://www.econbiz.de/10012470221
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Bayesian Inference for Hospital Quality in a Selection Model
Geweke, John; Gowrisankaran, Gautam; Town, Robert J. - 2009
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 …
Persistent link: https://www.econbiz.de/10014065349
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Inferring Hospital Quality from Patient Discharge Records Using a Bayesian Selection Model
Geweke, John; Gowrisankaran, Gautam; Town, Robert J. - 2010
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 hospitals may attract patients with greater unobserved severity of illness …
Persistent link: https://www.econbiz.de/10014165225
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Bayesian Inference for Hospital Quality in a Selection Model
Geweke, John; Gowrisankaran, Gautam; Town, Robert J. - 2021
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 …
Persistent link: https://www.econbiz.de/10013212345
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Chapter 1 Bayesian Forecasting
Geweke, John; Whiteman, Charles - 2006
Bayesian forecasting is a natural product of a Bayesian approach to inference. The Bayesian approach in general requires explicit formulation of a model, and conditioning on known quantities, in order to draw inferences about unknown ones. In Bayesian forecasting, one simply takes a subset of...
Persistent link: https://www.econbiz.de/10014023705
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Simulation Based Inference for Dynamic Multinomial Choice Models
Geweke, John; Houser, Dan; Keane, Michael - Volkswirtschaftliche Fakultät, … - 1999
Our goal in this chapter is to explain concretely how to implement simulation methods in a very general class of models …
Persistent link: https://www.econbiz.de/10011260171
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Advances in Random Utility Models
Horowitz, Joel; Keane, Michael; Bolduc, Denis; Divakar, … - Volkswirtschaftliche Fakultät, … - 1994
In recent years, major advances have taken place in three areas of random utility modeling: (1) semiparametric estimation, (2) computational methods for multinomial probit models, and (3) computational methods for Bayesian stimation. This paper summarizes these developments and discusses their...
Persistent link: https://www.econbiz.de/10011109965