Empirical least squares regression models for employment, in- and out-migration, and income distribution in the Northern Great Plains region of the United States

dc.contributor.advisorChairperson, Graduate Committee: Lloyd D. Bender.en
dc.contributor.authorLewis, Eugene Patrick, 1948-en
dc.coverage.spatialGreat Plainsen
dc.date.accessioned2013-06-25T18:41:18Z
dc.date.available2013-06-25T18:41:18Z
dc.date.issued1974en
dc.description.abstractThis research effort is aimed at determining empirical least squares regression models for employment, in- and out-migration, and income distribution, Secondary data is used exclusively; The observations are 181 non-metro counties in the Northern Great Plains Region of the United States. The statistical results show that all four models are directly linked to variations in the economic bases of counties. To some extent, this allows the models to be used concurrently in determining impacts. It was hypothesized and shown that the multiplier effect for employment varies with industry, scale of operation of the various industries, and location in economic space. This conslusion along with the successful inclusion of migration and income distribution suggests that the approach taken in this study is a possible alternative to strandard aggregate economic base and input-output studies.en
dc.identifier.urihttps://scholarworks.montana.edu/handle/1/1725en
dc.language.isoenen
dc.publisherMontana State University - Bozeman, College of Agricultureen
dc.rights.holderCopyright 1974 by Eugene Patrick Lewisen
dc.subject.lcshLeast squaresen
dc.subject.lcshRegression analysisen
dc.subject.lcshEconomicsen
dc.subject.lcshMathematical modelsen
dc.titleEmpirical least squares regression models for employment, in- and out-migration, and income distribution in the Northern Great Plains region of the United Statesen
dc.typeThesisen
mus.relation.departmentAgricultural Economics & Economics.en_US
thesis.catalog.ckey334871en
thesis.degree.committeemembersMembers, Graduate Committee: Richard McConnen; M. Steve Stauber; Ancel Haroldsen; P.J. Hillen
thesis.degree.departmentAgricultural Economics & Economics.en
thesis.degree.genreThesisen
thesis.degree.nameMSen
thesis.format.extentfirstpage1en
thesis.format.extentlastpage86en

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