IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v36y2011i1p91-93.html
   My bibliography  Save this article

Long-term trends in the Real real prices of primary commodities: Inflation bias and the Prebisch-Singer hypothesis

Author

Listed:
  • Svedberg, Peter
  • Tilton, John E.

Abstract

In his recent article on measuring the long-term trends in the real prices of primary commodities, Cuddington (2010) extends in several important respects our earlier efforts (Svedberg and Tilton, 2006) to correct real commodity price trends for biases in the Consumer Price Index and other deflators. First, he argues for a log-linear relationship between prices and time. Second, he proposes a simple and quick method for obtaining corrected price trends from the published but uncorrected estimates. Finally, he illustrates, for the case of copper and presumably for many other commodities as well, the difficulties of obtaining real price trends significantly different from zero when the log values of the price data contain a unit root, requiring the use of difference stationary models. We welcome these insights, which should improve and make easier efforts to estimate correctly real commodity price trends over the long run. We would stress, however, that it is still important to correct for the biases in inflation indices, notwithstanding the failure of difference stationary models to obtain long-run real price trends (both corrected and uncorrected) significantly different from zero.

Suggested Citation

  • Svedberg, Peter & Tilton, John E., 2011. "Long-term trends in the Real real prices of primary commodities: Inflation bias and the Prebisch-Singer hypothesis," Resources Policy, Elsevier, vol. 36(1), pages 91-93, March.
  • Handle: RePEc:eee:jrpoli:v:36:y:2011:i:1:p:91-93
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301-4207(10)00044-9
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Svedberg, Peter & Tilton, John E., 2006. "The real, real price of nonrenewable resources: copper 1870-2000," World Development, Elsevier, vol. 34(3), pages 501-519, March.
    2. Cuddington, John T, 2010. "Long-term trends in the Real real prices of primary commodities: Inflation bias and the Prebisch-Singer hypothesis," Resources Policy, Elsevier, vol. 35(2), pages 72-76, June.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Peter Buchholz & Friedrich-W. Wellmer & Dennis Bastian & Maren Liedtke, 2020. "Leaning against the wind: low-price benchmarks for acting anticyclically in the metal markets," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 33(1), pages 81-100, July.
    2. Wen, Fenghua & Zhao, Cong & Hu, Chunyan, 2019. "Time-varying effects of international copper price shocks on China's producer price index," Resources Policy, Elsevier, vol. 62(C), pages 507-514.
    3. Geronimi, Vincent & Taranco, Armand, 2018. "Revisiting the Prebisch-Singer hypothesis of a secular decline in the terms of trade of primary commodities (1900–2016). A dynamic regime approach," Resources Policy, Elsevier, vol. 59(C), pages 329-339.

    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. Fernandez, Viviana, 2014. "Linear and non-linear causality between price indices and commodity prices," Resources Policy, Elsevier, vol. 41(C), pages 40-51.
    2. József Popp & Judit Oláh & Mária Farkas Fekete & Zoltán Lakner & Domicián Máté, 2018. "The Relationship Between Prices of Various Metals, Oil and Scarcity," Energies, MDPI, vol. 11(9), pages 1-19, September.
    3. C. A. Tapia Cortez & J. Coulton & C. Sammut & S. Saydam, 2018. "Determining the chaotic behaviour of copper prices in the long-term using annual price data," Palgrave Communications, Palgrave Macmillan, vol. 4(1), pages 1-13, December.
    4. Tapia, Carlos & Coulton, Jeff & Saydam, Serkan, 2020. "Using entropy to assess dynamic behaviour of long-term copper price," Resources Policy, Elsevier, vol. 66(C).
    5. Fernandez, Viviana, 2012. "Trends in real commodity prices: How real is real?," Resources Policy, Elsevier, vol. 37(1), pages 30-47.
    6. Peter Buchholz & Friedrich-W. Wellmer & Dennis Bastian & Maren Liedtke, 2020. "Leaning against the wind: low-price benchmarks for acting anticyclically in the metal markets," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 33(1), pages 81-100, July.
    7. Fernandez, Viviana, 2015. "Commodity price excess co-movement from a historical perspective: 1900–2010," Energy Economics, Elsevier, vol. 49(C), pages 698-710.
    8. Tapia Cortez, Carlos A. & Hitch, Michael & Sammut, Claude & Coulton, Jeff & Shishko, Robert & Saydam, Serkan, 2018. "Determining the embedding parameters governing long-term dynamics of copper prices," Chaos, Solitons & Fractals, Elsevier, vol. 111(C), pages 186-197.
    9. Biswas, Pritam & Sinha, Rabindra Kumar & Sen, Phalguni, 2023. "A review of state-of-the-art techniques for the determination of the optimum cut-off grade of a metalliferous deposit with a bibliometric mapping in a surface mine planning context," Resources Policy, Elsevier, vol. 83(C).
    10. Kushnir, Duncan & Sandén, Björn A., 2012. "The time dimension and lithium resource constraints for electric vehicles," Resources Policy, Elsevier, vol. 37(1), pages 93-103.
    11. Marañon, Matias & Kumral, Mustafa, 2019. "Kondratiev long cycles in metal commodity prices," Resources Policy, Elsevier, vol. 61(C), pages 21-28.
    12. Abhijit Sharma & Kelvin G Balcombe & Iain M Fraser, 2009. "Non-renewable resource prices: Structural breaks and long term trends," Economics Bulletin, AccessEcon, vol. 29(2), pages 805-819.
    13. Thomas H.W. Ziesemer, 2014. "Country terms of trade: trends, unit roots, over-differencing, endogeneity, time dummies, and heterogeneity," International Review of Applied Economics, Taylor & Francis Journals, vol. 28(6), pages 767-796, September.
    14. Swart, Pilar & Dewulf, Jo, 2013. "Quantifying the impacts of primary metal resource use in life cycle assessment based on recent mining data," Resources, Conservation & Recycling, Elsevier, vol. 73(C), pages 180-187.
    15. Cuddington, John T, 2010. "Long-term trends in the Real real prices of primary commodities: Inflation bias and the Prebisch-Singer hypothesis," Resources Policy, Elsevier, vol. 35(2), pages 72-76, June.
    16. Stuermer, Martin, 2018. "150 Years Of Boom And Bust: What Drives Mineral Commodity Prices?," Macroeconomic Dynamics, Cambridge University Press, vol. 22(3), pages 702-717, April.
    17. López, Ramón & Miller, Sebastian J., 2008. "Chile: The Unbearable Burden of Inequality," World Development, Elsevier, vol. 36(12), pages 2679-2695, December.
    18. Kuangyuan Zhang & Richard Olawoyin & Antonio Nieto & Andrew N. Kleit, 2018. "Risk of commodity price, production cost and time to build in resource economics," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(6), pages 2521-2544, December.
    19. Magnus Ericsson & Johannes Drielsma & David Humphreys & Per Storm & Pär Weihed, 2019. "Why current assessments of ‘future efforts’ are no basis for establishing policies on material use—a response to research on ore grades," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 32(1), pages 111-121, April.
    20. Henckens, M.L.C.M. & Driessen, P.P.J. & Ryngaert, C. & Worrell, E., 2016. "The set-up of an international agreement on the conservation and sustainable use of geologically scarce mineral resources," Resources Policy, Elsevier, vol. 49(C), pages 92-101.

    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:eee:jrpoli:v:36:y:2011:i:1:p:91-93. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30467 .

    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.