dc.contributor.advisor | Pigg, Kenneth E. | eng |
dc.contributor.author | Khatiwada, Lila Kumar, 1969- | eng |
dc.coverage.spatial | United States | eng |
dc.coverage.temporal | 1981-2001 | eng |
dc.coverage.temporal | 2001-2009 | eng |
dc.date.issued | 2010 | eng |
dc.date.submitted | 2010 Spring | eng |
dc.description | Title from PDF of title page (University of Missouri--Columbia, viewed on October 22, 2010). | eng |
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. | eng |
dc.description | Dissertation advisor: Dr. Kenneth E. Pigg. | eng |
dc.description | Vita. | eng |
dc.description | Ph. D. University of Missouri--Columbia 2010. | eng |
dc.description.abstract | [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Prosperity is often associated with income. This study goes beyond the economic determinant of prosperity and develops a prosperity index by using indicators of education, employment, housing occupancy, and poverty status for all contiguous U.S. counties and non-metro counties. A spatial approach has been used to analyze the data as the data was spatially distributed. Using OLS, spatial lag, and spatial error methods, three models were developed and compared. Spatial error model explained higher percent of variation among three models. Labor markets variables were found to be important predictors of prosperity in all-counties and non-metro counties. The results showed that high prosperous counties had higher economic opportunities, higher urban influence, higher social capital, lower income inequality, lower percent of minority population, higher percent of employed female population, higher civic agricultural activities, lower percent of people working in low paying service sectors, and more jobs in manufacturing sectors. A major contribution of this study to sociology is that spatial effect should be taken into consideration while dealing with spatially correlated data. | eng |
dc.description.bibref | Includes bibliographical references. | eng |
dc.format.extent | vii, 170 pages | eng |
dc.identifier.merlin | b82635031 | eng |
dc.identifier.oclc | 733760920 | eng |
dc.identifier.uri | https://hdl.handle.net/10355/10920 | |
dc.identifier.uri | https://doi.org/10.32469/10355/10920 | eng |
dc.language | English | eng |
dc.publisher | University of Missouri--Columbia | eng |
dc.relation.ispartofcommunity | University of Missouri--Columbia. Graduate School. Theses and Dissertations | eng |
dc.rights | Access is limited to the campuses of the University of Missouri. | eng |
dc.rights.license | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License. | |
dc.subject.lcsh | Poverty -- United States -- Statistics | eng |
dc.subject.lcsh | Income distribution -- United States -- Statistics | eng |
dc.subject.lcsh | Spatial analysis (Statistics) | eng |
dc.subject.lcsh | United States -- Economic conditions -- 1981-2001 -- Regional disparities | eng |
dc.subject.lcsh | United States -- Economic conditions -- 2001-2009 -- Regional disparities | eng |
dc.title | Spatial analysis of poverty and prosperity in the U.S. counties | eng |
dc.type | Thesis | eng |
thesis.degree.discipline | Rural sociology (MU) | eng |
thesis.degree.grantor | University of Missouri--Columbia | eng |
thesis.degree.level | Doctoral | eng |
thesis.degree.name | Ph. D. | eng |