How much confidence should we place in efficiency estimates?
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.
Volume (Year): 12 (2003)
Issue (Month): 11 ()
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- Giuffrida, Antonio & Gravelle, Hugh & Sutton, Matthew, 2000.
"Efficiency and administrative costs in primary care,"
Journal of Health Economics,
Elsevier, vol. 19(6), pages 983-1006, November.
- Antonio Giuffrida & Hugh Gravelle & Matthew Sutton, "undated". "Efficiency and Administrative Costs in Primary Care," Discussion Papers 99/27, Department of Economics, University of York.
- Schmidt, Peter & Lin, Tsai-Fen, 1984. "Simple tests of alternative specifications in stochastic frontier models," Journal of Econometrics, Elsevier, vol. 24(3), pages 349-361, March.
- Hadri, Kaddour, 1999. "Estimation of a Doubly Heteroscedastic Stochastic Frontier Cost Function," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(3), pages 359-363, July.
- Sherman T. Folland & Richard A. Hofler, 2001. "How reliable are hospital efficiency estimates? Exploiting the dual to homothetic production," Health Economics, John Wiley & Sons, Ltd., vol. 10(8), pages 683-698.
- Dopuch, Nicholas & Gupta, Mahendra, 1997. "Estimation of benchmark performance standards: An application to public school expenditures," Journal of Accounting and Economics, Elsevier, vol. 23(2), pages 141-161, July.
- Uwe Jensen, 2000. "Is it efficient to analyse efficiency rankings?," Empirical Economics, Springer, vol. 25(2), pages 189-208.
- Waldman, Donald M., 1982. "A stationary point for the stochastic frontier likelihood," Journal of Econometrics, Elsevier, vol. 18(2), pages 275-279, February.
- Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
- William C. Horrace & Peter Schmidt, 2002. "Confidence Statements for Efficiency Estimates from Stochastic Frontier Models," Econometrics 0206006, EconWPA.
- Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
- Vitaliano, Donald F., 1987. "On the estimation of hospital cost functions," Journal of Health Economics, Elsevier, vol. 6(4), pages 305-318, December.
- Ellis, Randall P., 1998. "Creaming, skimping and dumping: provider competition on the intensive and extensive margins1," Journal of Health Economics, Elsevier, vol. 17(5), pages 537-555, October.
- Neil Soderlund & Rowena van der Merwe, 1999. "Hospital benchmarking analysis and the derivation of cost indices," Working Papers 174chedp, Centre for Health Economics, University of York.
- Caudill, Steven B & Ford, Jon M & Gropper, Daniel M, 1995. "Frontier Estimation and Firm-Specific Inefficiency Measures in the Presence of Heteroscedasticity," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 105-111, January.
- Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July. Full references (including those not matched with items on IDEAS)
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