A Multivariate Approach to Forecasting Dairy Imports

dc.contributor.authorLaufmann, Regina
dc.date.accessioned2018-02-15T16:09:39Z
dc.date.available2018-02-15T16:09:39Z
dc.date.issued2014
dc.description.abstractThe global economy is becoming more connected with every passing year. Developing countries continue to lift themselves out of poverty and their markets are hungry for the opportunity to trade goods with nations all over the world. This is true in dairy markets, and it is a good time for domestic producers to set their sights on international markets. Domestic companies want to have a tool they can use to determine where the demand is not only strong today but will remain strong in the future. In this paper a model is developed to forecast demand in China, the world’s top dairy importing nation. The accuracy of the model is checked. While forecasts will never be completely accurate the multivariate approach used in this paper shows promise for the helpfulness of such models to firms looking to evaluate foreign markets.en_US
dc.description.sponsorshipLand O'Lakesen_US
dc.identifier.urihttps://hdl.handle.net/10365/27556
dc.publisherNorth Dakota State Universityen_US
dc.rightsNDSU policy 190.6.2
dc.rights.urihttps://www.ndsu.edu/fileadmin/policy/190.pdf
dc.titleA Multivariate Approach to Forecasting Dairy Importsen_US
dc.typeThesisen_US
ndsu.advisorLarsen, Ryan
ndsu.collegeAgriculture, Food Systems and Natural Resourcesen_US
ndsu.degreeMaster of Science (MS)en_US
ndsu.departmentAgribusiness and Applied Economicsen_US
ndsu.programAgribusiness and Applied Economicsen_US

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