This aim of this study was to determine what aﬀects aggregate crime rates around the world. This thesis used Mathematical Modeling techniques to build generalized linear models for homicide rates and burglary and housebreaking rates using the following predictive factors: economic indicators, education rates, government quality indicators, ethno-linguistic fractionalization, GDP per capita and its growth, drug consumption rates, and age and gender ratios. We used a series of factor selection techniques including linear and stepwise regressions, principal component analysis, and regression analysis to select factors to use to build ﬁnal models of homicide and burglary and housebreaking.
Steurer, Kelly M., "Crime Around the World: Using Mathematical Modeling Techniques to Model Aggregated Worldwide Crime Rates" (2018). Senior Independent Study Theses. Paper 8287.
Bachelor of Arts
Senior Independent Study Thesis Exemplar
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