2016
DOI: 10.1017/s136510051600050x
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150 Years of Boom and Bust: What Drives Mineral Commodity Prices?

Abstract: My paper is the first to provide long-run evidence on the dynamic effects of supply and demand shocks on mineral commodity prices. I assemble and analyze a new data set of prices and production levels of copper, lead, tin, zinc, and crude oil from 1840 to 2010.Price fluctuations are primarily driven by demand rather than supply shocks. Demand shocks affect the price persistently for up to 15 years, whereas the effect of supply shocks persists for a maximum of 5 years. My paper shows that price surges caused by… Show more

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Cited by 72 publications
(42 citation statements)
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“…Although the oil and gas surplus/deficit (BOT) is decreasing, non oil and gas surplus/deficit(BOT) balance with increasing trends. However, for the recent years non oil and is also decreasing, so total BOT is [27] and Sruermer, 2013 [44], the causes of this commodity boom is because of increasing demand that ignited by the next three reasons. Firstly, the fast economic growth in OECD countries.…”
Section: Resultsmentioning
confidence: 99%
“…Although the oil and gas surplus/deficit (BOT) is decreasing, non oil and gas surplus/deficit(BOT) balance with increasing trends. However, for the recent years non oil and is also decreasing, so total BOT is [27] and Sruermer, 2013 [44], the causes of this commodity boom is because of increasing demand that ignited by the next three reasons. Firstly, the fast economic growth in OECD countries.…”
Section: Resultsmentioning
confidence: 99%
“…Figure 8. Development of average mined copper grades worldwide [40] and real copper prices [7,41,43,44]. (The price data from 1865-1900 are not shown here, because no copper grade data for this period were available.…”
Section: Principal Considerationsmentioning
confidence: 99%
“…This work basically argues that increases in factor productivity drive up total output of an economy and, thereby, productivity in the use of natural resources. Stuermer (2016) is the first to build on these insights for the purpose of identifying different shocks to commodity prices based on long-run restrictions.…”
Section: A Identificationmentioning
confidence: 99%
“…Instead, we build on Stuermer's (2016) identification scheme which is based on the idea that booms in real commodity prices induced by increases in global demand for commodities set in motion two processes: investment in new productive capacity and productivity-enhancing technological innovation. This allows us to specify three orthogonal shocks to real commodity prices based on long-run restrictions, namely a commodity demand shock, a commodity supply shock, and an inventory or commodity-specific demand shock.…”
mentioning
confidence: 99%
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