Data Envelopment Estimates for the Most Efficient National Healthcare Systems Given Uncertain Proportional Rate Inputs


Frequently data envelopment analysis is conducted on empirical data that are either proportions, estimated, or both. When proportional rates are estimated either from a sample of data or by expert judgment, point and interval estimates for efficiency scores, projection targets, and reference sets can be developed via Monte Carlo sampling. We explore and… (More)


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