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dc.contributor.advisorTolbert, Charles M.
dc.contributor.authorHinze, Wesley Martin.
dc.date.accessioned2011-09-14T12:49:34Z
dc.date.available2011-09-14T12:49:34Z
dc.date.copyright2011-08
dc.date.issued2011-09-14
dc.identifier.urihttp://hdl.handle.net/2104/8219
dc.description.abstractThe self-employed represent about ten percent of the American workforce. Challenges to a fuller understanding of self-employment in the United States include the ability to generalize the results of research studies. These analyses seek to clarify issues surrounding their earnings and work satisfaction. A taxonomy based on industry and occupation codes closes gaps in this knowledge. Perspectives that express the importance of an independent middle class or petty bourgeoisie guide multilevel models that investigate the role self-employment can play in mitigating the effects of structural conditions such as high poverty. Using public use microdata sample data from the American Community Survey, I find that the self-employed are by no means a homogenous group of individuals who are engaged in similar kinds of work, the success of those who best their peers is usually not the result of human capital differences, and the best explanation for these differences must therefore lie in the social networks built by these individuals to improve their businesses over time.en_US
dc.language.isoen_USen_US
dc.publisheren
dc.rightsBaylor University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. Contact librarywebmaster@baylor.edu for inquiries about permission.en_US
dc.subjectSelf-employment.en_US
dc.subjectUnited States.en_US
dc.subjectEarnings.en_US
dc.subjectWork satisfaction.en_US
dc.titleSelf-employment in the United States.en_US
dc.typeThesisen_US
dc.description.degreePh.D.en_US
dc.rights.accessrightsWorldwide accessen_US
dc.contributor.departmentSociology.en_US
dc.contributor.schoolsBaylor University. Dept. of Sociology.en_US


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