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| 02000cam 2200373zi 4500 |
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001 | 9.874707 |
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003 | CaOODSP |
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005 | 20221107164250 |
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006 | m o d f |
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007 | cr ||||||||||| |
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008 | 190611t20192019oncd ob f000 0 eng d |
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040 | |aCaOODSP|beng|erda|cCaOODSP |
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041 | |aeng|bfre |
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043 | |an-cn--- |
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086 | 1 |aFB3-7/2019-17E-PDF |
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100 | 1 |aEllwanger, Reinhard, |eauthor. |
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245 | 12|aA structural model of the global oil market / |cby Reinhard Ellwanger. |
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264 | 1|aOttawa, Ontario, Canada : |bBank of Canada = Banque du Canada, |c2019. |
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264 | 4|c©2019 |
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300 | |a1 online resource (ii, 10 unnumbered pages) : |bgraphs. |
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336 | |atext|btxt|2rdacontent |
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337 | |acomputer|bc|2rdamedia |
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338 | |aonline resource|bcr|2rdacarrier |
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490 | 1 |aStaff analytical note = Note analytique du personnel, |x2369-9639 ; |v2019-17 |
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500 | |aTitle from cover. |
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504 | |aIncludes bibliographical references. |
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520 | 3 |a"This note presents a structural vector autoregressive (SVAR) model of the global oil market. The model identifies four types of shocks with different economic interpretations: oil supply shocks, oil-market-specific demand shocks, storage demand shocks and shocks to global economic growth. The historical decomposition of oil price fluctuations suggests that oil supply shocks were the dominant force during the 2014–15 oil price decline. Several examples illustrate the model’s usefulness for conditional forecasts of oil market variables under different scenarios for global GDP growth and oil consumption"--Abstract, page ii. |
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546 | |aIncludes abstract in French. |
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692 | 07|2gccst|aEconomic analysis |
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692 | 07|2gccst|aPetroleum industry |
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692 | 07|2gccst|aModels |
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710 | 2 |aBank of Canada. |
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830 | #0|aStaff analytical note,|x2369-9639 ; |v2019-17.|w(CaOODSP)9.807323 |
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856 | 40|qPDF|s639 KB|uhttps://publications.gc.ca/collections/collection_2019/banque-bank-canada/FB3-7-2019-17-eng.pdf |
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