Show simple item record

dc.contributor.authorRajan, Robyen
dc.date.accessioned2019-01-31T18:27:34Zen
dc.date.available2019-01-31T18:27:34Zen
dc.date.issued1982en
dc.identifier.urihttp://hdl.handle.net/10919/87256en
dc.description.abstractCopper econometric models currently existing in the open literature incorporate the demand side of the market only as an aggregated demand function. In this thesis, copper demand was disaggregated into its end-use industrial sectors and linear demand equations estimated for each sector. The correlation among the error terms of the various sectoral equations was explicitly taken into account in the estimation. Elasticities were computed at the means for the price and activity variables. A comparison with results using the Ordinary Least Squares method is also provided. Exogenous variables used in each sectoral equation were forecast separately and copper demand was subsequently forecast for each end-use sector.en
dc.format.extentiii, 77 leavesen
dc.format.mimetypeapplication/pdfen
dc.language.isoen_USen
dc.publisherVirginia Polytechnic Institute and State Universityen
dc.relation.isformatofOCLC# 8503808en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V855 1982.R342en
dc.subject.lcshCopper industry and tradeen
dc.subject.lcshBusiness forecastingen
dc.titleA sectorally disaggregated econometric model for forecasting copper demand in the U.S.en
dc.typeThesisen
dc.contributor.departmentEconomicsen
dc.description.degreeMaster of Artsen
thesis.degree.nameMaster of Artsen
thesis.degree.levelmastersen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.disciplineEconomicsen
dc.type.dcmitypeTexten


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record