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dc.contributor.authorShuddhasattwa, R.
dc.contributor.authorBloch, Harry
dc.date.accessioned2017-01-30T10:28:22Z
dc.date.available2017-01-30T10:28:22Z
dc.date.created2016-10-04T19:30:20Z
dc.date.issued2016
dc.identifier.citationShuddhasattwa, R. and Bloch, H. 2016. Explaining commodity prices through asymmetric oil shocks: Evidence from nonlinear models. Resources Policy. 50: pp. 34-48.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/3079
dc.identifier.doi10.1016/j.resourpol.2016.08.005
dc.description.abstract

Linkages between oil and 25 other commodity prices are examined using annual data for 1900 to 2011. We identify long-run relationships using both linear and nonlinear ARDL models and capture short-run causalities through asymmetric Granger causality tests. Nonlinearity can’t be rejected for the relationship between oil and most other commodity prices. Long-run positive impacts of oil price increases are found for 20 commodities and short-run negative impacts for 13 commodity prices. Oil prices don’t have much impact on beverage or cereal prices once endogeneity is accounted for, but they have substantial impact on metal prices.

dc.publisherPergamon Press
dc.titleExplaining commodity prices through asymmetric oil shocks: Evidence from nonlinear models
dc.typeJournal Article
dcterms.source.volume50
dcterms.source.startPage34
dcterms.source.endPage48
dcterms.source.issn0301-4207
dcterms.source.titleResources Policy
curtin.departmentSchool of Economics and Finance
curtin.accessStatusOpen access


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