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dc.contributor.authorCafiero, Carlode
dc.contributor.authorBobenrieth H., Eugenio S.A.de
dc.contributor.authorBobenrieth H., Juan R.A.de
dc.contributor.authorWright, Brian D.de
dc.date.accessioned2011-10-13T02:52:00Zde
dc.date.accessioned2012-08-30T06:51:21Z
dc.date.available2012-08-30T06:51:21Z
dc.date.issued2009de
dc.identifier.urihttp://www.ssoar.info/ssoar/handle/document/26842
dc.description.abstract"The empirical relevance of models of competitive storage arbitrage in explaining commodity price behavior has been seriously challenged in a series of pathbreaking papers by Deaton and Laroque (1992, 1995, 1996). Here we address their major criticism, that the model is in general unable to explain the degree of serial correlation observed in prices of twelve major commodities. First, we present a simple numerical version of their model which, contrary to Deaton and Laroque (1992), can generate the high levels of serial correlation observed in commodity prices, if it is parameterized to generate realistic levels of price variation. Then, after estimating the Deaton and Laroque (1995, 1996) model using their data set, model specification and econometric approach, we show that use of a much finer grid to approximate the equilibrium price function yields quite different estimates for most commodities. Results are obtained for coffee, copper, jute, maize, palm oil, sugar and tin that support the specifications of the storage model with positive constant marginal storage cost and no deterioration as in Gustafson (1958a). Consumption demand has low response to price and, except for sugar, there are infrequent stockouts. Observed magnitudes of serial correlation of price match those implied by the estimated model." [author's abstract]en
dc.languageende
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.otherAutocorrelation; Commodity Prices; Pseudo Maximum Likelihood; Storage;
dc.titleThe empirical relevance of the competitive storage modelen
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalJournal of Econometricsde
dc.source.volume162de
dc.source.issue1de
dc.subject.classozErhebungstechniken und Analysetechniken der Sozialwissenschaftende
dc.subject.classozMethods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methodsen
dc.subject.thesozsimulationen
dc.subject.thesozSimulationde
dc.identifier.urnurn:nbn:de:0168-ssoar-268422de
dc.date.modified2011-10-13T09:22:00Zde
dc.rights.licencePEER Licence Agreement (applicable only to documents from PEER project)de
dc.rights.licencePEER Licence Agreement (applicable only to documents from PEER project)en
ssoar.gesis.collectionSOLIS;ADISde
ssoar.contributor.institutionhttp://www.peerproject.eu/de
internal.status3de
internal.identifier.thesoz10037865
dc.type.stockarticlede
dc.type.documentjournal articleen
dc.type.documentZeitschriftenartikelde
dc.rights.copyrightfde
dc.source.pageinfo44-54
internal.identifier.classoz10105
internal.identifier.journal195de
internal.identifier.document32
internal.identifier.ddc300
dc.identifier.doihttps://doi.org/10.1016/j.jeconom.2009.10.008de
dc.description.pubstatusPostprinten
dc.description.pubstatusPostprintde
internal.identifier.licence7
internal.identifier.pubstatus2
internal.identifier.review1
internal.check.abstractlanguageharmonizerCERTAIN
internal.check.languageharmonizerCERTAIN_RETAINED


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