IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/23060.html

The Local Economic and Welfare Consequences of Hydraulic Fracturing

Author

Listed:
  • Alexander W. Bartik
  • Janet Currie
  • Michael Greenstone
  • Christopher R. Knittel

Abstract

Exploiting geological variation within shale deposits and timing in the initiation of hydraulic fracturing, this paper finds that allowing fracing leads to sharp increases in oil and gas recovery and improvements in a wide set of economic indicators. At the same time, estimated willingness-to-pay (WTP) for the decrease in local amenities (e.g., crime and noise) is roughly equal to -$1000 to -$1,600 per household annually (-1.9% to -3.1% of mean household income). Overall, we estimate that WTP for allowing fracing equals about $1,300 to $1,900 per household annually (2.5% to 3.7%), although there is substantial heterogeneity across shale regions.

Suggested Citation

  • Alexander W. Bartik & Janet Currie & Michael Greenstone & Christopher R. Knittel, 2017. "The Local Economic and Welfare Consequences of Hydraulic Fracturing," NBER Working Papers 23060, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:23060
    Note: EEE
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w23060.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Christiane Baumeister & Lutz Kilian, 2016. "Forty Years of Oil Price Fluctuations: Why the Price of Oil May Still Surprise Us," Journal of Economic Perspectives, American Economic Association, vol. 30(1), pages 139-160, Winter.
    2. Boslett, Andrew & Guilfoos, Todd & Lang, Corey, 2016. "Valuation of expectations: A hedonic study of shale gas development and New York’s moratorium," Journal of Environmental Economics and Management, Elsevier, vol. 77(C), pages 14-30.
    3. Hunt Allcott & Daniel Keniston, 2014. "Dutch Disease or Agglomeration? The Local Economic Effects of Natural Resource Booms in Modern America," NBER Working Papers 20508, National Bureau of Economic Research, Inc.
    4. David Albouy, 2008. "Are Big Cities Bad Places to Live? Estimating Quality of Life across Metropolitan Areas," NBER Working Papers 14472, National Bureau of Economic Research, Inc.
    5. Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Katie Jo Black & Shawn J. McCoy & Jeremy G. Weber, 2018. "When Externalities Are Taxed: The Effects and Incidence of Pennsylvania’s Impact Fee on Shale Gas Wells," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 5(1), pages 107-153.
    2. Charles F. Mason & Lucija A. Muehlenbachs & Sheila M. Olmstead, 2015. "The Economics of Shale Gas Development," Annual Review of Resource Economics, Annual Reviews, vol. 7(1), pages 269-289, October.
    3. Delgado, Michael S. & Guilfoos, Todd & Boslett, Andrew, 2016. "The cost of unconventional gas extraction: A hedonic analysis," Resource and Energy Economics, Elsevier, vol. 46(C), pages 1-22.
    4. Sven Resnjanskij & Jens Ruhose & Simon Wiederhold & Ludger Wößmann, 2021. "Mentoring verbessert die Arbeitsmarktchancen von stark benachteiligten Jugendlichen," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 74(02), pages 31-38, February.
    5. Joao Ayres & Constantino Hevia & Juan Pablo Nicolini, 2021. "Real Exchange Rates and Primary Commodity Prices: Mussa Meets Backus-Smith," Working Papers 89, Red Nacional de Investigadores en Economía (RedNIE).
    6. Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Christian Hansen & Kengo Kato, 2018. "High-dimensional econometrics and regularized GMM," CeMMAP working papers CWP35/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Dimitris Bertsimas & Agni Orfanoudaki & Rory B. Weiner, 2020. "Personalized treatment for coronary artery disease patients: a machine learning approach," Health Care Management Science, Springer, vol. 23(4), pages 482-506, December.
    8. Jen-Yu Lee & Tien-Thinh Nguyen & Hong-Giang Nguyen & Jen-Yao Lee, 2022. "Towards Predictive Crude Oil Purchase: A Case Study in the USA and Europe," Energies, MDPI, vol. 15(11), pages 1-15, May.
    9. Bruno Ferman & Cristine Pinto & Vitor Possebom, 2020. "Cherry Picking with Synthetic Controls," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(2), pages 510-532, March.
    10. Bonesrønning, Hans & Finseraas, Henning & Hardoy, Ines & Iversen, Jon Marius Vaag & Nyhus, Ole Henning & Opheim, Vibeke & Salvanes, Kari Vea & Sandsør, Astrid Marie Jorde & Schøne, Pål, 2022. "Small-group instruction to improve student performance in mathematics in early grades: Results from a randomized field experiment," Journal of Public Economics, Elsevier, vol. 216(C).
    11. Peydró, José-Luis & Jiménez, Gabriel & Kenan, Huremovic & Moral-Benito, Enrique & Vega-Redondo, Fernando, 2020. "Production and financial networks in interplay: Crisis evidence from supplier-customer and credit registers," CEPR Discussion Papers 15277, C.E.P.R. Discussion Papers.
    12. Ruoxuan Xiong & Allison Koenecke & Michael Powell & Zhu Shen & Joshua T. Vogelstein & Susan Athey, 2021. "Federated Causal Inference in Heterogeneous Observational Data," Papers 2107.11732, arXiv.org, revised Apr 2023.
    13. Hairu Wang & Yukun Liu & Haiying Zhou, 2025. "Score test for unconfoundedness under a logistic treatment assignment model," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 77(4), pages 517-533, August.
    14. Satarupa Bhattacharjee & Bing Li & Xiao Wu & Lingzhou Xue, 2025. "Doubly robust estimation of causal effects for random object outcomes with continuous treatments," Papers 2506.22754, arXiv.org.
    15. Konrad Menzel, 2021. "Structural Sieves," Papers 2112.01377, arXiv.org, revised Apr 2022.
    16. Alessandro Paolo Rigamonti & Giulio Greco & Mariarita Pierotti & Alessandro Capocchi, 2024. "Macroeconomic uncertainty and earnings management: evidence from commodity firms," Review of Quantitative Finance and Accounting, Springer, vol. 62(4), pages 1615-1649, May.
    17. Pham T. T. Trinh & Bui T. T. My, 2023. "The impact of world oil price shocks on macroeconomic variables in Vietnam: the transmission through domestic oil price," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 37(1), pages 67-87, May.
    18. Alberto Abadie & Susan Athey & Guido W. Imbens & Jeffrey M. Wooldridge, 2020. "Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis," Econometrica, Econometric Society, vol. 88(1), pages 265-296, January.
    19. Andrés Elberg & Pedro M. Gardete & Rosario Macera & Carlos Noton, 2019. "Dynamic effects of price promotions: field evidence, consumer search, and supply-side implications," Quantitative Marketing and Economics (QME), Springer, vol. 17(1), pages 1-58, March.
    20. Davide Viviano & Jelena Bradic, 2019. "Synthetic learner: model-free inference on treatments over time," Papers 1904.01490, arXiv.org, revised Aug 2022.

    More about this item

    JEL classification:

    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics

    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:nbr:nberwo:23060. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.