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dc.contributor.authorNelson, Kimberly L.
dc.contributor.authorSvara, James H.
dc.date.accessioned2012-11-06T22:37:01Z
dc.date.available2012-11-06T22:37:01Z
dc.date.issued2010
dc.identifier.citationNelson, Kimberly L. and James H. Svara "Adaptation of Models Versus Variations in Form: Classifying Structures of City Government" Urban Affairs Review 2010 45 (4) 544-562en_US
dc.identifier.issn1078-0874
dc.identifier.urihttp://commons.lib.niu.edu/handle/10843/13321
dc.identifier.urihttp://hdl.handle.net/10843/13321
dc.description.abstractA great deal of variability exists in American local government structures. It would be useful to analyze the differences in outcomes associated with different structures, but two factors stand in the way. First, there is no agreement about how to classify city governments. Second, many of the components used in existing classifications are inaccurately reported or missing in survey data. In this research note, a new classification system based on three easily determined components is developed and used to measure the current distribution of forms and variations in an expanded dataset that includes almost all cities over 10,000 in population.en_US
dc.language.isoen_USen_US
dc.publisherSAGEen_US
dc.subjectcity governmenten_US
dc.subjectmodelsen_US
dc.titleAdaptation of Models versus Variations in Form: Classifying Structures of City Governmenten_US
dc.typeArticleen_US
dc.altlocation.urihttp://dx.doi.org/10.1177/1078087409356349en_US
dc.contributor.departmentDivision of Public Administration


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