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Variable Long-Term Trends in Mineral Prices: The Ongoing Tug-of-War between Exploration, Depletion, and Technological Change

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  • John T. Cuddington

    (Division of Economics and Business, Colorado School of Mines)

  • Grant Nülle

    (Division of Economics and Business, Colorado School of Mines)

Abstract

This paper explores the use of low-frequency band-pass filters for describing long-run trends in real mineral commodity prices. This approach has the advantage of allowing long-run trends rate to evolve gradually over time, rather than assuming that they are constant (perhaps with occasional structural breaks) over time. This is a flexible way of capturing the ongoing `tug of war' between exploration, depletion, and technological change. Over 100 mineral and commodities, stretching back to the late 19th or early 20th century, are considered. The variety of LR trends is astonishing, but very few increase monotonically, contrary to the prediction of the basic Hotelling model. Some decline monotonically (as predicted by Prebisch and Singer); some have the U-shaped pattern predicted by Pindyck (1978), Heal (1981) and Slade (1982). Others have changed direction up to three times in the period since 1900. The tug of war continues with exhaustion nowhere in sight.

Suggested Citation

  • John T. Cuddington & Grant Nülle, 2013. "Variable Long-Term Trends in Mineral Prices: The Ongoing Tug-of-War between Exploration, Depletion, and Technological Change," Working Papers 2013-02, Colorado School of Mines, Division of Economics and Business.
  • Handle: RePEc:mns:wpaper:wp201302
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    File URL: http://econbus-papers.mines.edu/working-papers/wp201302.pdf
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    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. Vásquez Cordano, Arturo L. & Zellou, Abdel M., 2020. "Super cycles in natural gas prices and their impact on Latin American energy and environmental policies," Resources Policy, Elsevier, vol. 65(C).
    4. 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.
    5. Schischke, A. & Papenfuß, P. & Brem, M. & Kurz, P. & Rathgeber, A.W., 2023. "Sustainable energy transition and its demand for scarce resources: Insights into the German Energiewende through a new risk assessment framework," Renewable and Sustainable Energy Reviews, Elsevier, vol. 176(C).
    6. Rossen, Anja, 2015. "What are metal prices like? Co-movement, price cycles and long-run trends," Resources Policy, Elsevier, vol. 45(C), pages 255-276.
    7. Tapia, Carlos & Coulton, Jeff & Saydam, Serkan, 2020. "Using entropy to assess dynamic behaviour of long-term copper price," Resources Policy, Elsevier, vol. 66(C).
    8. Addison, Tony & Ghoshray, Atanu, 2023. "Discerning trends in international metal prices in the presence of nonstationary volatility," Resource and Energy Economics, Elsevier, vol. 71(C).
    9. Lu, Huaixin & Liao, Xinlin & Wu, Youqun, 2024. "From resource curse to green renaissance: Analyzing the dynamics of natural resource abundance on China's green total factor productivity during business cycles," Resources Policy, Elsevier, vol. 89(C).
    10. Hassler, J. & Krusell, P. & Smith, A.A., 2016. "Environmental Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 1893-2008, Elsevier.
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