IDEAS home Printed from https://ideas.repec.org/p/een/camaaa/2022-70.html

The Price Responsiveness of Shale Producers: Evidence from Micro Data

Author

Listed:
  • Knut Are Aastveit
  • Hilde C. Bjornland
  • Thomas S. Gundersen

Abstract

We show that shale oil producers respond positively to favourable oil price signals and that this response is mainly associated with the timing of production decisions through well completion and refracturing, consistent with the Hotelling theory of optimal extraction. This finding is established using a novel proprietary data set consisting of more than 200,000 shale wells across ten U.S. states spanning almost two decades. We document large heterogeneity in the estimated responses across the various shale wells, suggesting that aggregation bias is an important issue for this kind of analysis. Our empirical results call for new models that can account for a growing share of shale oil in the U.S., the inherent flexibility of shale extraction technology in production and the role of shale oil in transmitting oil price shocks to the global economy.

Suggested Citation

  • Knut Are Aastveit & Hilde C. Bjornland & Thomas S. Gundersen, 2022. "The Price Responsiveness of Shale Producers: Evidence from Micro Data," CAMA Working Papers 2022-70, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Handle: RePEc:een:camaaa:2022-70
    as

    Download full text from publisher

    File URL: https://crawford.anu.edu.au/sites/default/files/2025-01/70_2022_aastveit_bjornland_gundersen.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Adolfsen, Jakob Feveile & Heissel, Malte & Manu, Ana-Simona & Vinci, Francesca, 2024. "Burn now or never? Climate change exposure and investment of fossil fuel firms," Working Paper Series 2945, European Central Bank.
    2. Storrøsten, Halvor Briseid, 2024. "U.S. light tight oil supply flexibility - A multivariate dynamic model for production and rig activity," Energy Economics, Elsevier, vol. 131(C).
    3. Kumar, Abhishek & Mallick, Sushanta, 2024. "Oil price dynamics in times of uncertainty: Revisiting the role of demand and supply shocks," Energy Economics, Elsevier, vol. 129(C).
    4. Jon Ellingsen & Caroline Espegren, 2022. "Lost in transition? Earnings losses of displaced petroleum workers," Working Papers No 06/2022, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    5. Valenti, Daniele & Bastianin, Andrea & Manera, Matteo, 2023. "A weekly structural VAR model of the US crude oil market," Energy Economics, Elsevier, vol. 121(C).

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:een:camaaa:2022-70. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Cama Admin (email available below). General contact details of provider: https://edirc.repec.org/data/asanuau.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.