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Competition and Prices in the Deregulated Gas Pipeline Network: A Multivariate Cointegration Analysis

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  • Walls, W. David

Abstract

This research uses multivariate cointegration analysis to assess the degree of competition in the U.S. natural gas industry following the move to open access pipeline transportation. The testing methodology allows multiple nodes in the pipeline network to be analyzed simultaneously and is based on recent advances by Johansen (1988, 1991) and Johansen and Juselius (1990) on estimation and hypothesis testing in multivariate cointegrated systems. Daily price data across the North American natural gas transmission grid are analyzed and the results indicate that the pattern of prices between production areas is consistent with allocative efficiency.

Suggested Citation

  • Walls, W. David, 1993. "Competition and Prices in the Deregulated Gas Pipeline Network: A Multivariate Cointegration Analysis," University of California Transportation Center, Working Papers qt9tg8v7zd, University of California Transportation Center.
    • Handle: RePEc:cdl:uctcwp:qt9tg8v7zd
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    References listed on IDEAS

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    1. Walls, W. David, 1993. "A Cointegration Rank Test of Market Linkages with an Application to the U.S. Natural Gas Industry," University of California Transportation Center, Working Papers qt6sj0961h, University of California Transportation Center.
    2. Sims, Christopher A., 1988. "Bayesian skepticism on unit root econometrics," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 463-474.
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    5. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, vol. 55(2), pages 277-301, March.
    6. De Vany, Arthur & Walls, W. David, 1993. "Pipeline Access and Market Integration in the Natural Gas Industry: Evidence from Cointegration Tests," University of California Transportation Center, Working Papers qt8368m144, University of California Transportation Center.
    7. Bentzen, Jan & Engsted, Tom, 1993. "Short- and long-run elasticities in energy demand : A cointegration approach," Energy Economics, Elsevier, vol. 15(1), pages 9-16, January.
    8. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    9. Arthur De Vany & W. David Walls, 1993. "Pipeline Access and Market Integration in the Natural Gas Industry: Evidence from Cointegration Tests," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 1-20.
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    11. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, vol. 55(2), pages 277-301, March.
    12. James G. MacKinnon, 1990. "Critical Values for Cointegration Tests," Working Paper 1227, Economics Department, Queen's University.
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    Cited by:

    1. Matthew Oliver & Charles Mason & David Finnoff, 2014. "Pipeline congestion and basis differentials," Journal of Regulatory Economics, Springer, vol. 46(3), pages 261-291, December.
    2. Oliver, Matthew E., 2019. "Pricing flexibility under rate-of-return regulation: Effects on network infrastructure investment," Economic Modelling, Elsevier, vol. 78(C), pages 150-161.

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