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Structural estimation of switching costs for peaking power plants

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  • Fleten, Stein-Erik
  • Haugom, Erik
  • Pichler, Alois
  • Ullrich, Carl J.

Abstract

We estimate costs associated with mothballing, restarting, abandoning and maintaining peaking power plants. We develop a real options model to explain switching and maintenance behavior of plant managers. The constrained optimization approach to estimate crucial costs accommodates non-parametric dynamics for the expectations of the plant managers regarding future profitability. The empirical analysis is based on the status of power plants reported annually to the United States Energy Information Administration (EIA) during 2001–2009. We arrive at economically meaningful estimates of maintenance costs and switching costs, and discuss these in light of rates used in the Pennsylvania-New Jersey-Maryland capacity market.

Suggested Citation

  • Fleten, Stein-Erik & Haugom, Erik & Pichler, Alois & Ullrich, Carl J., 2020. "Structural estimation of switching costs for peaking power plants," European Journal of Operational Research, Elsevier, vol. 285(1), pages 23-33.
    • Handle: RePEc:eee:ejores:v:285:y:2020:i:1:p:23-33
    DOI: 10.1016/j.ejor.2019.03.031
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    1. Emmanuel Guerre & Isabelle Perrigne & Quang Vuong, 2000. "Optimal Nonparametric Estimation of First-Price Auctions," Econometrica, Econometric Society, vol. 68(3), pages 525-574, May.
    2. Rust, John, 1987. "Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher," Econometrica, Econometric Society, vol. 55(5), pages 999-1033, September.
    3. Bontemps, Christian & Robin, Jean-Marc & van den Berg, Gerard J, 2000. "Equilibrium Search with Continuous Productivity Dispersion: Theory and Nonparametric Estimation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 41(2), pages 305-358, May.
    4. Elodie Guerre & I. Perrigne & Q.H. Vuong, 2000. "Optimal nonparametric estimation of first-price auctions [[Estimation nonparamétrique optimale des enchères au premier prix]]," Post-Print hal-02697497, HAL.
    5. Bansal, Ravi & Gallant, A. Ronald & Hussey, Robert & Tauchen, George, 1995. "Nonparametric estimation of structural models for high-frequency currency market data," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 251-287.
    6. Che‐Lin Su & Kenneth L. Judd, 2012. "Constrained Optimization Approaches to Estimation of Structural Models," Econometrica, Econometric Society, vol. 80(5), pages 2213-2230, September.
    7. Ullrich, Carl J., 2012. "Realized volatility and price spikes in electricity markets: The importance of observation frequency," Energy Economics, Elsevier, vol. 34(6), pages 1809-1818.
    8. Gamba, Andrea & Tesser, Matteo, 2009. "Structural estimation of real options models," Journal of Economic Dynamics and Control, Elsevier, vol. 33(4), pages 798-816, April.
    9. Fleten, Stein-Erik & Haugom, Erik & Ullrich, Carl J., 2017. "The real options to shutdown, startup, and abandon: U.S. electricity industry evidence," Energy Economics, Elsevier, vol. 63(C), pages 1-12.
    10. Andrés Musalem & Marcelo Olivares & Eric T. Bradlow & Christian Terwiesch & Daniel Corsten, 2010. "Structural Estimation of the Effect of Out-of-Stocks," Management Science, INFORMS, vol. 56(7), pages 1180-1197, July.
    11. Whitney K. Newey & James L. Powell & Francis Vella, 1999. "Nonparametric Estimation of Triangular Simultaneous Equations Models," Econometrica, Econometric Society, vol. 67(3), pages 565-604, May.
    12. King, Gary & Zeng, Langche, 2001. "Logistic Regression in Rare Events Data," Political Analysis, Cambridge University Press, vol. 9(2), pages 137-163, January.
    13. Brennan, Michael J & Schwartz, Eduardo S, 1985. "Evaluating Natural Resource Investments," The Journal of Business, University of Chicago Press, vol. 58(2), pages 135-157, April.
    14. G. Atuncar & C. Dorea & C. Gonçalves, 2008. "Strong consistency of Kernel density estimates for Markov chains failure rates," Statistical Inference for Stochastic Processes, Springer, vol. 11(1), pages 1-10, February.
    15. Fleten, Stein-Erik & Näsäkkälä, Erkka, 2010. "Gas-fired power plants: Investment timing, operating flexibility and CO2 capture," Energy Economics, Elsevier, vol. 32(4), pages 805-816, July.
    16. Alberto Moel, 2002. "When Are Real Options Exercised? An Empirical Study of Mine Closings," The Review of Financial Studies, Society for Financial Studies, vol. 15(1), pages 35-64, March.
    17. Tong Li & Isabelle Perrigne & Quang Vuong, 2002. "Structural Estimation of the Affliated Private Value Auction Model," RAND Journal of Economics, The RAND Corporation, vol. 33(2), pages 171-193, Summer.
    18. Keswani, Aneel & Shackleton, Mark B., 2006. "How real option disinvestment flexibility augments project NPV," European Journal of Operational Research, Elsevier, vol. 168(1), pages 240-252, January.
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    Cited by:

    1. James Duván Ramírez-Quintero & Yessenia Martínez-Ruiz & Diego Fernando Manotas-Duque, 2024. "Financial Viability of Thermal Power Generation Plants in the Transition to Renewable Energy," International Journal of Energy Economics and Policy, Econjournals, vol. 14(5), pages 73-84, September.
    2. Stein‐Erik Fleten, 2021. "Remarks on “Network Structure and Its Impact on Commodity Markets”," Production and Operations Management, Production and Operations Management Society, vol. 30(12), pages 4575-4576, December.
    3. Zhao, Xian & Chai, Xiaofei & Sun, Jinglei & Qiu, Qingan, 2021. "Joint optimization of mission abort and component switching policies for multistate warm standby systems," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
    4. Fleten, Stein-Erik & Fram, Benjamin P. & Ullrich, Carl J., 2024. "The reliability pricing model and coal-fired generators in PJM," Energy Economics, Elsevier, vol. 134(C).

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