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dc.degree.departmentAgricultural and Applied Economicsen_US
dc.rights.availabilityUnrestricted.
dc.creatorFadiga, Mohamadou L.
dc.date.accessioned2016-11-14T23:11:09Z
dc.date.available2011-02-19T00:55:45Z
dc.date.available2016-11-14T23:11:09Z
dc.date.issued2003-08
dc.identifier.urihttp://hdl.handle.net/2346/22352en_US
dc.description.abstractRapid change in fashion and style, rise in imports, and ongoing reforms in the world market have rendered information about prices, quality, and consumer profiles critical for designing effective marketing strategies. The general objective of this study was to gain a better understanding of consumer demand for apparel in the United States, ft was expected that a clear understanding of the domestic demand for apparel could help improve the competitiveness of the U.S. apparel industry. This study used a two-step estimation procedure that involved a decision and a censored demand system models for nine categories of apparel. The resuhs of the decision model indicated that garments' own prices, age, female employment, gender, regions, and presence of children solely influence purchase decisions.
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherTexas Tech Universityen_US
dc.subjectClothing tradeen_US
dc.subjectCottonen_US
dc.subjectAgricultureen_US
dc.subjectClothing and dressen_US
dc.titleU.S. consumer demand for cotton apparel: implications for the apparel industry
dc.typeDissertation


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