How much confidence should we place in efficiency estimates?
✍ Scribed by Andrew Street
- Publisher
- John Wiley and Sons
- Year
- 2003
- Tongue
- English
- Weight
- 171 KB
- Volume
- 12
- Category
- Article
- ISSN
- 1057-9230
- DOI
- 10.1002/hec.773
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
Ordinary least squares (OLS) and stochastic frontier (SF) analyses are commonly used to estimate industry‐level and firm‐specific efficiency. Using cross‐sectional data for English public hospitals, a total cost function based on a specification developed by the English Department of Health is estimated. Confidence intervals are calculated around the OLS residuals and around the inefficiency component of the SF residuals. Sensitivity analysis is conducted to assess whether conclusions about relative performance are robust to choices of error distribution, functional form and model specification. It is concluded that estimates of relative hospital efficiency are sensitive to estimation decisions and that little confidence can be placed in the point estimates for individual hospitals. The use of these techniques to set annual performance targets should be avoided. Copyright © 2002 John Wiley & Sons, Ltd.