Three essays in regional economic modeling

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Three essays in regional economic modeling

Please use this identifier to cite or link to this item: http://hdl.handle.net/10355/6638

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dc.contributor.advisor Johnson, Thomas G. en_US
dc.contributor.author Bhandari, Doleswar, 1965- en_US
dc.coverage.spatial Missouri
dc.date.accessioned 2010-03-18T14:15:37Z
dc.date.available 2010-03-18T14:15:37Z
dc.date.issued 2008 en_US
dc.date.submitted 2008 Fall en_US
dc.identifier.other BhandariD-112509-D11402 en_US
dc.identifier.uri http://hdl.handle.net/10355/6638
dc.description Title from PDF of title page (University of Missouri--Columbia, viewed on Feb 24, 2010). en_US
dc.description The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file. en_US
dc.description Dissertation advisor: Dr. Thomas G. Johnson. en_US
dc.description Vita. en_US
dc.description Includes bibliographical references. en_US
dc.description Ph. D. University of Missouri--Columbia 2008. en_US
dc.description Dissertations, Academic -- University of Missouri--Columbia -- Agricultural economics. en_US
dc.description.abstract My dissertation is about regional economic modeling for understanding local economy, economic impact analysis and forecasting. In the first essay, I developed a nonspatial version of community policy analysis model for Missouri counties. In my second essay, I introduced space into my model. I specified and estimated a model using generalized spatial three-stage least square procedures. In my third essay, using South Korean regional data, I compared forecasting accuracy of non-spatial, spatial lag, spatial error and spatial lag and error model using in-sample data. I also compared the impact estimates of nonspatial and spatial models. The spatial components appear to improve the accuracy of the intra-county impacts. It appears that the estimated parameters tend to be sensitive to the specification of weight matrices if the sizes of spatial units are heterogeneous and vice versa. Employment is the main driver of each of the model. en_US
dc.format.extent vii, 158 pages en_US
dc.language.iso en_US en_US
dc.publisher University of Missouri--Columbia en_US
dc.subject.lcsh Regional economics -- Mathematical models en_US
dc.subject.lcsh Employment (Economic theory) -- Mathematical models en_US
dc.subject.lcsh Regional planning -- Mathematical models en_US
dc.subject.lcsh Missouri -- Economic conditions -- Mathematical models en_US
dc.title Three essays in regional economic modeling en_US
dc.type Thesis en_US
thesis.degree.discipline Agricultural economics en_US
thesis.degree.grantor University of Missouri--Columbia en_US
thesis.degree.name Ph. D. en_US
thesis.degree.level Doctoral en_US
dc.identifier.oclc 556274106 en_US
dc.relation.ispartofcommunity University of Missouri-Columbia. Graduate School. Theses and Dissertations. Dissertations. 2008 Dissertations
dc.relation.ispartofcollection 2008 Freely available dissertations (MU)


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