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Elasticities of Supply for the US Natural Gas Market

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  • Micaela Ponce
  • Anne Neumann

Abstract

In this paper we investigate natural gas producer's reactions to changes in market prices. We estimate price elasticities of aggregated supply in the most competitive market for natural gas: the United States. Using monthly time series data form 1987 to 2012 our analysis is based on an Autoregressive Distributed Lag (ARDL) Bound Cointegration approach to obtain short and long-run elasticities of natural gas supply. Results suggest that natural gas producers in a competitive market are not able to react to prices in the very short-run but respond inelastic in the long-run. These findings are not only of great value for policy makers but also for gas market modelers.

Suggested Citation

  • Micaela Ponce & Anne Neumann, 2014. "Elasticities of Supply for the US Natural Gas Market," Discussion Papers of DIW Berlin 1372, DIW Berlin, German Institute for Economic Research.
    • Handle: RePEc:diw:diwwpp:dp1372
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    File URL: https://www.diw.de/documents/publikationen/73/diw_01.c.441773.de/dp1372.pdf
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    References listed on IDEAS

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    Cited by:

    1. Ikonnikova, Svetlana A. & del Carpio Neyra, Victor & Berdysheva, Sofia, 2022. "Investment choices and production dynamics: The role of price expectations, financial deficit, and production constraints," Journal of Economics and Business, Elsevier, vol. 120(C).
    2. Rubaszek, Michał & Szafranek, Karol & Uddin, Gazi Salah, 2021. "The dynamics and elasticities on the U.S. natural gas market. A Bayesian Structural VAR analysis," Energy Economics, Elsevier, vol. 103(C).
    3. Wiggins, Seth & Etienne, Xiaoli L., 2017. "Turbulent times: Uncovering the origins of US natural gas price fluctuations since deregulation," Energy Economics, Elsevier, vol. 64(C), pages 196-205.
    4. Sexton, Steven & Eyer, Jonathan, 2016. "Leveling the playing field of transportation fuels: Accounting for indirect emissions of natural gas," Energy Policy, Elsevier, vol. 95(C), pages 21-31.
    5. Jeffrey C. Peters & Thomas W. Hertel, 2017. "Achieving the Clean Power Plan 2030 CO2 Target with the New Normal in Natural Gas Prices," The Energy Journal, , vol. 38(5), pages 39-66, September.
    6. Arora, Vipin, 2014. "Estimates of the Price Elasticities of Natural Gas Supply and Demand in the United States," MPRA Paper 54232, University Library of Munich, Germany.

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    More about this item

    Keywords

    Financial autarky; complete markets; long-run risk; anomalies;
    All these keywords.

    JEL classification:

    • L95 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Gas Utilities; Pipelines; Water Utilities
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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