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dc.contributor.advisorScott, James Gordon
dc.creatorZhang, Wenjie, active 2013en
dc.date.accessioned2013-12-05T16:28:59Zen
dc.date.issued2013-08en
dc.date.submittedAugust 2013en
dc.identifier.urihttp://hdl.handle.net/2152/22551en
dc.descriptiontexten
dc.description.abstractThe main purpose of this study is to determine if a Bayesian approach can better capture and provide reasonable predictions for the complex linkage between crime and income inequality. In this research, we conduct a model comparison between classical inference and Bayesian inference. The conventional studies on the relationship between crime and income inequality usually employ regression analysis to demonstrate whether these two issues are associated. However, there seems to be lack of use of Bayesian approaches in regard to this matter. Studying the panel data of China from 1993 to 2009, we found that in addition to a linear mixed effects model, a Bayesian hierarchical model with informative prior is also a good model to describe the linkage between crime rate and income inequality. The choice of models really depends on the research needs and data availability.en
dc.format.mimetypeapplication/pdfen
dc.language.isoen_USen
dc.subjectCrime rateen
dc.subjectInequalityen
dc.subjectClassical inferenceen
dc.subjectBayesian inferenceen
dc.titleThe relationships between crime rate and income inequality : evidence from Chinaen
dc.date.updated2013-12-05T16:29:00Zen
dc.description.departmentStatisticsen
thesis.degree.departmentStatisticsen
thesis.degree.disciplineStatisticsen
thesis.degree.grantorThe University of Texas at Austinen
thesis.degree.levelMastersen
thesis.degree.nameMaster of Science in Statisticsen


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