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Another Look at the American Electrical Utility Data

Author

Listed:
  • RITTER, Christian

    (CORE and Institut de Statistique, Université catholique de Louvain, B-1348 Louvain-la-Neuve, Belgium)

  • SIMAR, Léopold

    (CORE and Institut de Statistique, Université catholique de Louvain, B-1348 Louvain-la-Neuve, Belgium)

Abstract

The American electric utility data, which are frequently analyzed in the context of frontier models, can be explained by a linear model without inefficiencies. the observed maximum likelihood for this linear model is very mildly smaller than the maximum likelihood for more flexible stochastic frontier models and the log-likelihood-ratio statistic for an approxImate [chi. exp2] test of the simple least squares model against normal exponential and normal-gamma stochastic frontier models is far from significant.

Suggested Citation

  • RITTER, Christian & SIMAR, Léopold, 1994. "Another Look at the American Electrical Utility Data," LIDAM Discussion Papers CORE 1994007, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    • Handle: RePEc:cor:louvco:1994007
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    File URL: https://sites.uclouvain.be/core/publications/coredp/coredp1994.html
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    Citations

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    Cited by:

    1. Bernstein, David H. & Parmeter, Christopher F., 2019. "Returns to scale in electricity generation: Replicated and revisited," Energy Economics, Elsevier, vol. 82(C), pages 4-15.
    2. David H. Bernstein & Christopher F. Parmeter, 2017. "Returns to Scale in Electricity Generation: Revisited and Replicated," Working Papers 2017-08, University of Miami, Department of Economics.
    3. Christian Ritter & Léopold Simar, 1997. "Pitfalls of Normal-Gamma Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 8(2), pages 167-182, May.
    4. Oikawa, Koki, 2016. "A microfoundation for stochastic frontier analysis," Economics Letters, Elsevier, vol. 139(C), pages 15-17.
    5. Behr, Andreas & Tente, Sebastian, 2008. "Stochastic frontier analysis by means of maximum likelihood and the method of moments," Discussion Paper Series 2: Banking and Financial Studies 2008,19, Deutsche Bundesbank.

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