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The new long-term trend in the price of natural gas

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  • MacAvoy, Paul W.
  • Moshkin, Nickolay V.

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  • MacAvoy, Paul W. & Moshkin, Nickolay V., 2000. "The new long-term trend in the price of natural gas," Resource and Energy Economics, Elsevier, vol. 22(4), pages 315-338, October.
    • Handle: RePEc:eee:resene:v:22:y:2000:i:4:p:315-338
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    References listed on IDEAS

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    1. Pindyck, Robert S, 1978. "The Optimal Exploration and Production of Nonrenewable Resources," Journal of Political Economy, University of Chicago Press, vol. 86(5), pages 841-861, October.
    2. Hatanaka, Michio, 1974. "An efficient two-step estimator for the dynamic adjustment model with autoregressive errors," Journal of Econometrics, Elsevier, vol. 2(3), pages 199-220, September.
    3. Harold Hotelling, 1931. "The Economics of Exhaustible Resources," Journal of Political Economy, University of Chicago Press, vol. 39(2), pages 137-137.
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    Cited by:

    1. Jamil, Faisal, 2012. "Impact of different public E&P policies on natural gas reserves and production in Pakistan," Resources Policy, Elsevier, vol. 37(3), pages 368-374.
    2. Gao, Shen & Hou, Chenghan & Nguyen, Bao H., 2021. "Forecasting natural gas prices using highly flexible time-varying parameter models," Economic Modelling, Elsevier, vol. 105(C).
    3. Finn Roar Aune & Knut Einar Rosendahl & Eirik Lund Sagen, 2009. "Globalisation of Natural Gas Markets -Effects on Prices and Trade Patterns," The Energy Journal, , vol. 30(1_suppl), pages 39-54, June.
    4. Knut Einar Rosendahl & Eirik Lund Sagen, 2009. "The Global Natural Gas Market: Will Transport Cost Reductions Lead to Lower Prices?," The Energy Journal, , vol. 30(2), pages 17-40, April.
    5. Gao, Shen & Hou, Chenghan & Nguyen, Bao H., 2020. "Forecasting natural gas prices using highly flexible time-varying parameter models," Working Papers 2020-01, University of Tasmania, Tasmanian School of Business and Economics.
    6. Moting Su & Zongyi Zhang & Ye Zhu & Donglan Zha, 2019. "Data-Driven Natural Gas Spot Price Forecasting with Least Squares Regression Boosting Algorithm," Energies, MDPI, vol. 12(6), pages 1-13, March.

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