Multivariate forecasting of mineral commodities prices: Implications for natural resource scarcity.
A comprehensive methodology is developed in this study to assess the scarcity of nonrenewable natural resources. The commodities examined in the study are: aluminum, copper, lead, zinc, tin, molybdenum, steel, oil, and coal. Multivariate state space and extensive learning model methods are used to p...
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| Language: | en |
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The University of Arizona.
1996
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| Online Access: | http://hdl.handle.net/10150/187474 |