Understanding market sensitivity: estimation of supply and demand elasticities for non-fuel minerals

Ensieh Shojaeddini (), Elisa Alonso (), Nedal T. Nassar (), David G. Pineault (), Sydney M. Allen (), Jamie L. Brainard (), Dalton M. McCaffrey (), Timothy M. O’Brien (), Abraham J. Padilla () and John W. Ryter ()
Additional contact information
Ensieh Shojaeddini: United States Geological Survey, National Mineral Information Center
Elisa Alonso: United States Geological Survey, National Mineral Information Center
Nedal T. Nassar: United States Geological Survey, National Mineral Information Center
David G. Pineault: United States Geological Survey, National Mineral Information Center
Sydney M. Allen: United States Geological Survey, National Mineral Information Center
Jamie L. Brainard: United States Geological Survey, National Mineral Information Center
Dalton M. McCaffrey: United States Geological Survey, National Mineral Information Center
Timothy M. O’Brien: United States Geological Survey, National Mineral Information Center
Abraham J. Padilla: United States Geological Survey, National Mineral Information Center
John W. Ryter: United States Geological Survey, National Mineral Information Center

Mineral Economics, 2025, vol. 38, issue 4, No 11, 985-996

Abstract: Abstract In today’s rapidly changing economic landscape, understanding market responsiveness to price changes and the factors influencing commodity prices has become increasingly relevant. Price elasticities serve as indicators of how variations in market conditions affect supply and demand, providing insights into the sensitivity of commodity markets to price fluctuations. This paper presents a comprehensive analysis of price elasticities of supply and demand for 74 non-fuel mineral commodities including precious metals, base metals, minor metals, and industrial minerals that are utilized across various industries. We employ various econometric techniques, including fixed effects models for panel data and two-stage dynamic ordinary least squares (2S-DOLS) alongside autoregressive distributed lag (ARDL) models for time series analysis, to derive robust estimates of price elasticities. Our findings reveal variability in elasticities among different commodities and indicate that all studied mineral commodities exhibit price inelastic supply and demand in the short run, which we define as one year for the purposes of our analysis, given that the data is all annual. This research provides original estimates of price responsiveness for a wide range of commodities that have not been previously addressed in the literature, thereby enhancing the understanding of market dynamics in the mineral sector. Given that price elasticities can be influenced by factors such as market structure, technological advancements, mining costs, and industry-specific demand drivers, we use variables that serve as proxies for these factors.

Keywords: Price elasticity of demand; Price elasticity of supply; Mineral commodity (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s13563-025-00537-3

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