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Price and income elasticity of demand for mineral commodities

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  • Fernandez, Viviana

Abstract

This article utilizes the Divisia-moment approach to gauge price and income elasticity for seven major metals—steel, aluminum, copper, lead, nickel, tin, and zinc—in eight geographic regions—Africa, Asia, CIS, Europe, the Middle East, North and South America, Oceania—for the period of 1980–2015, and in the world for the period of 1960–2015. Based on various econometric techniques, this article presents new evidence of heterogeneous demand patterns across regions and metals. In particular, South America's per capita consumption of steel, aluminum and copper is the most price-elastic (− 0.18, − 0.27, and − 0.21, respectively). Other price-elastic regions are North America, Africa, Oceania, and Middle East with respect to nickel (− 0.22, − 0.46, − 0.23, and − 0.63, respectively) and CIS and Asia with respect to zinc (− 0.26 and − 0.14, respectively). This article also presents four extensions: measurement of price flexibility; use of instrumental variables to account for endogenous prices; price- and income-elasticity estimation by country; and, a characterization of mineral expenditure across geographic regions.

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  • Fernandez, Viviana, 2018. "Price and income elasticity of demand for mineral commodities," Resources Policy, Elsevier, vol. 59(C), pages 160-183.
    • Handle: RePEc:eee:jrpoli:v:59:y:2018:i:c:p:160-183
    DOI: 10.1016/j.resourpol.2018.06.013
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    1. Clements,Kenneth W., 2016. "Currencies, Commodities and Consumption," Cambridge Books, Cambridge University Press, number 9781316601112.
    2. 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.
    3. Sargan, John Denis & Bhargava, Alok, 1983. "Testing Residuals from Least Squares Regression for Being Generated by the Gaussian Random Walk," Econometrica, Econometric Society, vol. 51(1), pages 153-174, January.
    4. Stuermer, Martin, 2017. "Industrialization and the demand for mineral commodities," Journal of International Money and Finance, Elsevier, vol. 76(C), pages 16-27.
    5. Lutz Kilian, 2009. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," American Economic Review, American Economic Association, vol. 99(3), pages 1053-1069, June.
    6. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    7. Edward F. Blackburne III & Mark W. Frank, 2007. "Estimation of nonstationary heterogeneous panels," Stata Journal, StataCorp LP, vol. 7(2), pages 197-208, June.
    8. Evans, Mark & Lewis, Andrew C., 2005. "Dynamic metals demand model," Resources Policy, Elsevier, vol. 30(1), pages 55-69, March.
    9. Karanasos, Menelaos & Menla Ali, Faek & Margaronis, Zannis & Nath, Rajat, 2018. "Modelling time varying volatility spillovers and conditional correlations across commodity metal futures," International Review of Financial Analysis, Elsevier, vol. 57(C), pages 246-256.
    10. Evans, M. & Lewis, Andrew C., 2002. "Is there a common metals demand curve?," Resources Policy, Elsevier, vol. 28(3-4), pages 95-104.
    11. K.W. Clements & Y. Qiang, 1998. "A New Input-output Table for Western Australia - Part 1," Economics Discussion / Working Papers 98-15, The University of Western Australia, Department of Economics.
    12. Crompton, Paul, 2015. "Explaining variation in steel consumption in the OECD," Resources Policy, Elsevier, vol. 45(C), pages 239-246.
    13. Pantula, Sastry G & Gonzalez-Farias, Graciela & Fuller, Wayne A, 1994. "A Comparison of Unit-Root Test Criteria," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(4), pages 449-459, October.
    14. Pesaran, M. Hashem, 2015. "Time Series and Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780198759980.
    15. Finke, Renate, 1985. "Divisia moments of U.S. consumption, 1929-1982," Economics Letters, Elsevier, vol. 17(3), pages 223-226.
    16. Clements, Kenneth W., 1982. "Divisia moments of Australian consumption," Economics Letters, Elsevier, vol. 9(1), pages 43-48.
    17. Pei, Fanyu & Tilton, John E., 1999. "Consumer preferences, technological change, and the short-run income elasticity of metal demand," Resources Policy, Elsevier, vol. 25(2), pages 87-109, June.
    18. Tcha, M. & Takashina, G., 2002. "Is world metal consumption in disarray?," Resources Policy, Elsevier, vol. 28(1-2), pages 61-74.
    19. Chen, Mei-Hsiu, 2010. "Understanding world metals prices--Returns, volatility and diversification," Resources Policy, Elsevier, vol. 35(3), pages 127-140, September.
    20. K.W. Clements & Y. Qiang, 1998. "A New Input-output Table for Western Australia - Part 2," Economics Discussion / Working Papers 98-16, The University of Western Australia, Department of Economics.
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