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Returns to Scale in Electricity Generation: Revisited and Replicated


  • David H. Bernstein

    (University of Miami)

  • Christopher F. Parmeter

    (University of Miami)


We replicate the findings of two in uential studies on returns to scale in the electricity generation market in the United States. The main results are also contrasted using local linear nonparametric regression, a technique robust to functional form assumptions. While the quantitative findings differ somewhat regarding the magnitude of returns to scale, we find that there is a substantial shift in returns to scale across the electricity generation market of 1955 to that of 1970.

Suggested Citation

  • 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.
  • Handle: RePEc:mia:wpaper:2017-08

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    References listed on IDEAS

    1. RITTER, Christian & SIMAR, Léopold, 1994. "Another Look at the American Electrical Utility Data," CORE Discussion Papers 1994007, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. Greene, William H., 1990. "A Gamma-distributed stochastic frontier model," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 141-163.
    3. Henderson, Daniel J. & Kumbhakar, Subal C. & Li, Qi & Parmeter, Christopher F., 2015. "Smooth coefficient estimation of a seemingly unrelated regression," Journal of Econometrics, Elsevier, vol. 189(1), pages 148-162.
    4. Henderson,Daniel J. & Parmeter,Christopher F., 2015. "Applied Nonparametric Econometrics," Cambridge Books, Cambridge University Press, number 9780521279680.
    5. David C. Wheelock & Paul W. Wilson, 2012. "Do Large Banks Have Lower Costs? New Estimates of Returns to Scale for U.S. Banks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(1), pages 171-199, February.
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    More about this item


    System Estimation; Shepard's Lemma; Seemingly Unrelated Regression; Nonparametric. Publication Status: Submitted;

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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