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Frontier Estimation and Firm-Specific Inefficiency Measures in the Presence of Heteroscedasticity

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  • Caudill, Steven B
  • Ford, Jon M
  • Gropper, Daniel M

Abstract

The purpose of this paper is to illustrate a straightforward and useful method for addressing the problem of heteroscedasticity in the estmation of frontiers. A heteroscedastic cost frontier model is developed and estimated using bank cost data similar to that used by G. D. Ferrier and C. A. K. Lovell (1990). The authors' results show dramatic changes in the estimated cost frontier and in the inefficieny measures when accounting for heteroscedasticity in the estimation process. The authors find that the rankings of firms by their inefficiency measures is affected markedly by the correction for heteroscedastcity but not by alternative distributional assumptions about the one-sided error term.

Suggested Citation

  • 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.
  • Handle: RePEc:bes:jnlbes:v:13:y:1995:i:1:p:105-11
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    References listed on IDEAS

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    1. Andrew M. Yuengert, . "The measurement of efficiency in life insurance estimates of a mixed normal-gamma error model," Research Paper, Federal Reserve Bank of New York.
    2. 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.
    3. Caudill, Steven B. & Ford, Jon M., 1993. "Biases in frontier estimation due to heteroscedasticity," Economics Letters, Elsevier, vol. 41(1), pages 17-20.
    4. Ferrier, Gary D. & Lovell, C. A. Knox, 1990. "Measuring cost efficiency in banking : Econometric and linear programming evidence," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 229-245.
    5. Yuengert, Andrew M., 1993. "The measurement of efficiency in life insurance: Estimates of a mixed normal-gamma error model," Journal of Banking & Finance, Elsevier, vol. 17(2-3), pages 483-496, April.
    6. Reifschneider, David & Stevenson, Rodney, 1991. "Systematic Departures from the Frontier: A Framework for the Analysis of Firm Inefficiency," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 32(3), pages 715-723, August.
    7. 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.
    8. Thompson, Russell G. & Langemeier, Larry N. & Lee, Chih-Tah & Lee, Euntaik & Thrall, Robert M., 1990. "The role of multiplier bounds in efficiency analysis with application to Kansas farming," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 93-108.
    9. Mester, Loretta J, 1987. "A Multiproduct Cost Study of Savings and Loans," Journal of Finance, American Finance Association, vol. 42(2), pages 423-445, June.
    10. Schmidt, Peter & Knox Lovell, C. A., 1979. "Estimating technical and allocative inefficiency relative to stochastic production and cost frontiers," Journal of Econometrics, Elsevier, vol. 9(3), pages 343-366, February.
    11. Polachek, Solomon W & Yoon, Bong Joon, 1987. "A Two-tiered Earnings Frontier Estimation of Employer and Employee Information in the Labor Market," The Review of Economics and Statistics, MIT Press, vol. 69(2), pages 296-302, May.
    12. Adrian R Pagan & Anthony D Hall, 1983. "Diagnostic tests as residual analysis," Published Paper Series 1983-1, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    13. Warren, Ronald S, Jr, 1991. "The Estimation of Frictional Unemployment: A Stochastic Frontier Approach," The Review of Economics and Statistics, MIT Press, vol. 73(2), pages 373-377, May.
    14. Olson, Jerome A. & Schmidt, Peter & Waldman, Donald M., 1980. "A Monte Carlo study of estimators of stochastic frontier production functions," Journal of Econometrics, Elsevier, vol. 13(1), pages 67-82, May.
    15. 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.
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