IDEAS home Printed from https://ideas.repec.org/a/inm/orinte/v31y2001i4p74-86.html
   My bibliography  Save this article

Estimating the Economic Benefits of Forward-Engaged Naval Forces

Author

Listed:
  • Robert E. Looney

    (Department of National Security Affairs, Naval Postgraduate School, Monterey, California 93943-5219)

  • David A. Schrady

    (Department of Operations Research, Naval Postgraduate School)

  • Ronald L. Brown

    (Joint National Test Facility, Schriever Air Force Base, Colorado 80912-7300)

Abstract

In preparing for the 1997 quadrennial defense review, US Navy leaders asked us if we could quantify the economic benefits of forward-engaged naval forces and communicate them to policy makers. Until this point, the only evidence of such benefits was anecdotal. Forward-engaged naval forces are US-based ships deployed to such areas as the Mediterranean Sea, the Persian Gulf, or the western Pacific Ocean. Forward engagement affords the opportunity to work with regional states in shaping the international security environment and also enables rapid response to unexpected crises. Using a methodology based on oil-futures prices, we estimated the economic benefits of crisis response by forward-engaged naval forces for the 1990 Iraqi invasion of Kuwait. We showed that the economic benefits to the United States and its trading partners are conservatively in the tens of billions of dollars.

Suggested Citation

  • Robert E. Looney & David A. Schrady & Ronald L. Brown, 2001. "Estimating the Economic Benefits of Forward-Engaged Naval Forces," Interfaces, INFORMS, vol. 31(4), pages 74-86, August.
  • Handle: RePEc:inm:orinte:v:31:y:2001:i:4:p:74-86
    DOI: 10.1287/inte.31.4.74.9671
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/inte.31.4.74.9671
    Download Restriction: no

    File URL: https://libkey.io/10.1287/inte.31.4.74.9671?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Bopp, Anthony E. & Lady, George M., 1991. "A comparison of petroleum futures versus spot prices as predictors of prices in the future," Energy Economics, Elsevier, vol. 13(4), pages 274-282, October.
    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. Naser, Hanan, 2016. "Estimating and forecasting the real prices of crude oil: A data rich model using a dynamic model averaging (DMA) approach," Energy Economics, Elsevier, vol. 56(C), pages 75-87.
    2. Aruga Kentaka, 2011. "Market Efficiency in the Non-Genetically Modified Soybean Futures Market," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 9(1), pages 1-13, December.
    3. Jeffrey A Frankel & Andrew K Rose, 2010. "Determinants of Agricultural and Mineral Commodity Prices," RBA Annual Conference Volume (Discontinued), in: Renée Fry & Callum Jones & Christopher Kent (ed.),Inflation in an Era of Relative Price Shocks, Reserve Bank of Australia.
    4. Matteo Manera & Chiara Longo & Anil Markandya & Elisa Scarpa, 2007. "Evaluating the Empirical Performance of Alternative Econometric Models for Oil Price Forecasting," Working Papers 2007.4, Fondazione Eni Enrico Mattei.
    5. Salah Abosedra, 2005. "Futures versus univariate forecast of crude oil prices," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 29(4), pages 231-241, December.
    6. Dergiades, Theologos & Madlener, Reinhard & Christofidou, Georgia, 2018. "The nexus between natural gas spot and futures prices at NYMEX: Do weather shocks and non-linear causality in low frequencies matter?," The Journal of Economic Asymmetries, Elsevier, vol. 18(C), pages 1-1.
    7. Frankel, Jeffrey A., 2014. "Effects of speculation and interest rates in a “carry trade” model of commodity prices," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 88-112.
    8. James D. Hamilton, 2009. "Understanding Crude Oil Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 179-206.
    9. Shrestha, Keshab & Philip, Sheena & Peranginangin, Yessy, 2020. "Contributions of Crude Oil Exchange Traded Funds in Price Discovery Process," American Business Review, Pompea College of Business, University of New Haven, vol. 23(2), pages 393-407, November.
    10. Shrestha, Keshab, 2014. "Price discovery in energy markets," Energy Economics, Elsevier, vol. 45(C), pages 229-233.
    11. Claudio Dicembrino & Pasquale Lucio Scandizzo, 2012. "The Fundamental and Speculative Components of the Oil Spot Price: A Real Option Value Approach," CEIS Research Paper 229, Tor Vergata University, CEIS, revised 18 Apr 2012.
    12. Chen, Shyh-Wei & Lin, Shih-Mo, 2014. "Non-linear dynamics in international resource markets: Evidence from regime switching approach," Research in International Business and Finance, Elsevier, vol. 30(C), pages 233-247.
    13. Nandha, Mohan & Faff, Robert, 2008. "Does oil move equity prices? A global view," Energy Economics, Elsevier, vol. 30(3), pages 986-997, May.
    14. Menzie D. Chinn & Olivier Coibion, 2014. "The Predictive Content of Commodity Futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 34(7), pages 607-636, July.
    15. Bastianin, Andrea & Manera, Matteo & Markandya, Anil & Scarpa, Elisa, 2011. "Oil Price Forecast Evaluation with Flexible Loss Functions," Energy: Resources and Markets 120042, Fondazione Eni Enrico Mattei (FEEM).
    16. Faff, Robert W. & Brailsford, Timothy J., 1999. "Oil price risk and the Australian stock market," Journal of Energy Finance & Development, Elsevier, vol. 4(1), pages 69-87, June.
    17. Nuhu Isah & Abdul Talib Bon, 2017. "Application of Markov Model in Crude Oil Price Forecasting," Traektoriâ Nauki = Path of Science, Altezoro, s.r.o. & Dialog, vol. 3(8(25)), pages 1007-1012, August.
    18. repec:ddj:fserec:y:2012:p:31-34 is not listed on IDEAS
    19. Nicolau, Mihaela & Palomba, Giulio, 2015. "Dynamic relationships between spot and futures prices. The case of energy and gold commodities," Resources Policy, Elsevier, vol. 45(C), pages 130-143.
    20. Wang, Yudong & Wu, Chongfeng, 2013. "Are crude oil spot and futures prices cointegrated? Not always!," Economic Modelling, Elsevier, vol. 33(C), pages 641-650.
    21. repec:eco:journ2:2017-04-04 is not listed on IDEAS
    22. Cartwright, Phillip A. & Riabko, Natalija, 2015. "Measuring the effect of oil prices on wheat futures prices," Research in International Business and Finance, Elsevier, vol. 33(C), pages 355-369.

    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:inm:orinte:v:31:y:2001:i:4:p:74-86. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.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.