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Price Wars and Collusion in the Spanish Electricity Market

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Abstract
We analyze the pattern of pool prices in the Spanish electricity market during 1998 by means of a Time Varying Transition Probabilities Markov switching model. Our purpose is two­fold: firstly, to identify and date the drops in prices that cannot be accounted for by supply nor demand conditions; and secondly, under the assumption that these correspond with reversions to non­cooperative behaviour, to identify the trigger variables upon which a collusive equilibrium could be based upon. Our results confirm the hypothesis that two distinct price levels characterize the time series of pool prices, and point to the conclusion that price wars are induced by changes in the major generators' market shares. In turn, this shows that firms' pricing behaviour is highly influenced by the way in which the so­called Competition Transition Charges (CTCs) are computed.

Suggested Citation

  • Natalia Fabra & Juan Toro, 2001. "Price Wars and Collusion in the Spanish Electricity Market," Economic Working Papers at Centro de Estudios Andaluces E2001/05, Centro de Estudios Andaluces.
  • Handle: RePEc:cea:doctra:e2001_05
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    1. Hansen, Bruce E, 1992. "The Likelihood Ratio Test under Nonstandard Conditions: Testing the Markov Switching Model of GNP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages 61-82, Suppl. De.
    2. Green, Edward J & Porter, Robert H, 1984. "Noncooperative Collusion under Imperfect Price Information," Econometrica, Econometric Society, vol. 52(1), pages 87-100, January.
    3. Garcia-Diaz, Anton & Marin, Pedro L., 2003. "Strategic bidding in electricity pools with short-lived bids: an application to the Spanish market," International Journal of Industrial Organization, Elsevier, vol. 21(2), pages 201-222, February.
    4. Frank Wolak, 2000. "An Empirical Analysis of the Impact of Hedge Contracts on Bidding Behavior in a Competitive Electricity Market," International Economic Journal, Taylor & Francis Journals, vol. 14(2), pages 1-39.
    5. John Haltiwanger & Joseph E. Harrington Jr., 1991. "The Impact of Cyclical Demand Movements on Collusive Behavior," RAND Journal of Economics, The RAND Corporation, vol. 22(1), pages 89-106, Spring.
    6. Frank A. Wolak & Robert H. Patrick, 2001. "The Impact of Market Rules and Market Structure on the Price Determination Process in the England and Wales Electricity Market," NBER Working Papers 8248, National Bureau of Economic Research, Inc.
    7. David M. Newbery, 1998. "Competition, Contracts, and Entry in the Electricity Spot Market," RAND Journal of Economics, The RAND Corporation, vol. 29(4), pages 726-749, Winter.
    8. Severin Borenstein & James Bushnell, 1999. "An Empirical Analysis of the Potential for Market Power in California’s Electricity Industry," Journal of Industrial Economics, Wiley Blackwell, vol. 47(3), pages 285-323, September.
    9. Catherine D. Wolfram, 1999. "Measuring Duopoly Power in the British Electricity Spot Market," American Economic Review, American Economic Association, vol. 89(4), pages 805-826, September.
    10. Rotemberg, Julio J & Saloner, Garth, 1986. "A Supergame-Theoretic Model of Price Wars during Booms," American Economic Review, American Economic Association, vol. 76(3), pages 390-407, June.
    11. Ang, Andrew & Bekaert, Geert, 2002. "Regime Switches in Interest Rates," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 163-182, April.
    12. Bushnell, James, 2003. "A Mixed Complementarity Model of Hydro-Thermal Competition in the Western U.S," Staff General Research Papers Archive 13144, Iowa State University, Department of Economics.
    13. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    14. von der Fehr, Nils-Henrik Morch & Harbord, David, 1993. "Spot Market Competition in the UK Electricity Industry," Economic Journal, Royal Economic Society, vol. 103(418), pages 531-546, May.
    15. Paul L. Joskow & Edward Kohn, 2002. "A Quantitative Analysis of Pricing Behavior in California's Wholesale Electricity Market During Summer 2000," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 1-35.
    16. Filardo, Andrew J, 1994. "Business-Cycle Phases and Their Transitional Dynamics," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 299-308, July.
    17. Natalia Fabra, 2003. "Tacit Collusion in Repeated Auctions: Uniform Versus Discriminatory," Journal of Industrial Economics, Wiley Blackwell, vol. 51(3), pages 271-293, September.
    18. Catherine D. Wolfram, 1998. "Strategic Bidding in a Multiunit Auction: An Empirical Analysis of Bids to Supply Electricity in England and Wales," RAND Journal of Economics, The RAND Corporation, vol. 29(4), pages 703-725, Winter.
    19. Glenn Ellison, 1994. "Theories of Cartel Stability and the Joint Executive Committee," RAND Journal of Economics, The RAND Corporation, vol. 25(1), pages 37-57, Spring.
    20. Green, Richard J & Newbery, David M, 1992. "Competition in the British Electricity Spot Market," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 929-953, October.
    21. Hansen, Bruce E, 1996. "Erratum: The Likelihood Ratio Test under Nonstandard Conditions: Testing the Markov Switching Model of GNP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(2), pages 195-198, March-Apr.
    22. Robert B. Davies, 2002. "Hypothesis testing when a nuisance parameter is present only under the alternative: Linear model case," Biometrika, Biometrika Trust, vol. 89(2), pages 484-489, June.
    23. Abreu, Dilip & Pearce, David & Stacchetti, Ennio, 1986. "Optimal cartel equilibria with imperfect monitoring," Journal of Economic Theory, Elsevier, vol. 39(1), pages 251-269, June.
    24. Severin Borenstein & James B. Bushnell & Frank A. Wolak, 2002. "Measuring Market Inefficiencies in California's Restructured Wholesale Electricity Market," American Economic Review, American Economic Association, vol. 92(5), pages 1376-1405, December.
    25. Klemperer, Paul D & Meyer, Margaret A, 1989. "Supply Function Equilibria in Oligopoly under Uncertainty," Econometrica, Econometric Society, vol. 57(6), pages 1243-1277, November.
    26. Porter, Robert H, 1985. "On the Incidence and Duration of Price Wars," Journal of Industrial Economics, Wiley Blackwell, vol. 33(4), pages 415-426, June.
    27. Arocena, Pablo & Kuhn, Kai-Uwe- & Regibeau, Pierre, 1999. "Regulatory reform in the Spanish electricity industry: a missed opportunity for competition," Energy Policy, Elsevier, vol. 27(7), pages 387-399, July.
    28. Frank A. Wolak, 2003. "Measuring Unilateral Market Power in Wholesale Electricity Markets: The California Market, 1998–2000," American Economic Review, American Economic Association, vol. 93(2), pages 425-430, May.
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    More about this item

    Keywords

    Electricity Markets; Tacit Collusion; Markov Switching;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities

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