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Dynamic Efficiency Estimation: An Application to US Electric Utilities

The static production efficiency model and the dynamic duality model of intertemporal decision making using a parametric approach have been continuously developed but in separate direction. In this study the static shadow cost approach and the dynamic duality model of intertemporal decision making are integrated to formulate theoretical and econometric models of dynamic efficiency with intertemporal cost minimizing firm behavior. The dynamic efficiency model is empirically implemented using a panel data set of 72 U.S. major investor-owned electric utilities using fossil-fuel fired steam electric power generation during the time period of 1986 to 1999. The major results of this study are that most electric utilities in this study underutilized fuel relative to the aggregated labor and maintenance input and they overutilized capital in production. Electric utilities with relatively high technical inefficiency of variable inputs demand in production in states adopting a deregulation plan improve the performance of the utilities. The estimates of the input price elasticities present the substitution possibilities among the inputs. Finally, the results suggest evidence of increasing returns to scale in the production of the electricity industry.

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File URL: http://www.uq.edu.au/economics/cepa/docs/WP/WP052003.pdf
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Paper provided by School of Economics, University of Queensland, Australia in its series CEPA Working Papers Series with number WP052003.

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Date of creation: Jul 2003
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Handle: RePEc:qld:uqcepa:05
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  1. Crew, Michael A & Kleindorfer, Paul R, 2002. "Regulatory Economics: Twenty Years of Progress?," Journal of Regulatory Economics, Springer, vol. 21(1), pages 5-22, January.
  2. Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1989. "Production Frontiers With Cross-Sectinal And Time-Series Variation In Efficiency Levels," Working Papers 89-18, C.V. Starr Center for Applied Economics, New York University.
  3. Granderson, Gerald & Linvill, Carl, 2002. "Regulation, efficiency, and Granger causality," International Journal of Industrial Organization, Elsevier, vol. 20(9), pages 1225-1245, November.
  4. Atkinson, Scott E & Halvorsen, Robert, 1980. "A Test of Relative and Absolute Price Efficiency in Regulated Utilities," The Review of Economics and Statistics, MIT Press, vol. 62(1), pages 81-88, February.
  5. Atkinson, Scott E. & Primont, Daniel, 2002. "Stochastic estimation of firm technology, inefficiency, and productivity growth using shadow cost and distance functions," Journal of Econometrics, Elsevier, vol. 108(2), pages 203-225, June.
  6. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-54, July.
  7. Bernstein, Jeffrey I & Nadiri, M Ishaq, 1989. "Research and Development and Intra-industry Spillovers: An Empirical Application of Dynamic Duality," Review of Economic Studies, Wiley Blackwell, vol. 56(2), pages 249-67, April.
  8. Newey, Whitney K & West, Kenneth D, 1994. "Automatic Lag Selection in Covariance Matrix Estimation," Review of Economic Studies, Wiley Blackwell, vol. 61(4), pages 631-53, October.
  9. McLaren, Keith R & Cooper, Russel J, 1980. "Intertemporal Duality: Application to the Theory of the Firm," Econometrica, Econometric Society, vol. 48(7), pages 1755-62, November.
  10. Treadway, Arthur B., 1974. "The globally optimal flexible accelerator," Journal of Economic Theory, Elsevier, vol. 7(1), pages 17-39, January.
  11. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 33(1), pages 125-132.
  12. 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.
  13. Epstein, Larry G, 1981. "Duality Theory and Functional Forms for Dynamic Factor Demands," Review of Economic Studies, Wiley Blackwell, vol. 48(1), pages 81-95, January.
  14. L. Dean Hiebert, 2002. "The Determinants of the Cost Efficiency of Electric Generating Plants: A Stochastic Frontier Approach," Southern Economic Journal, Southern Economic Association, vol. 68(4), pages 935-946, April.
  15. Epstein, Larry G & Denny, Michael G S, 1983. "The Multivariate Flexible Accelerator Model: Its Empirical Restrictions and an Application to U.S. Manufacturing," Econometrica, Econometric Society, vol. 51(3), pages 647-74, May.
  16. Yir-Hueih Luh & Spiro E. Stefanou, 1996. "Estimating Dynamic Dual Models under Nonstatic Expectations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(4), pages 991-1003.
  17. Christensen, Laurits R & Greene, William H, 1976. "Economies of Scale in U.S. Electric Power Generation," Journal of Political Economy, University of Chicago Press, vol. 84(4), pages 655-76, August.
  18. Timothy J. Considine, 2000. "Cost Structures for Fossil Fuel-Fired Electric Power Generation," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 83-104.
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