This dissertation examines the way the life and ministry of Robert Hall, Jr. (1764-1831) functioned as both a theological exemplar and a cultural celebrity. Chapter 1 sets forth the thesis and defines its terminology and introduces the research methodology and the limitations of the project. Chapter 2 reintroduces the life of Robert Hall to a generation that has forgotten him. Details of Hall's education, pastoral ministry, mental breakdown, and death are provided here. Chapter 3 discusses the preaching methodology Hall inherited from preceding generations of Baptists and how Hall changed that methodology over the course of his life. Chapter 4 first addresses Hall's theological journey before observing how Hall employed different doctrines in his preaching. The chapter concludes with a concise examination of Hall as a preacher and the way he also served as a theological exemplar. Chapter 5 investigates Hall as a cultural celebrity, in many ways the first of such among the Baptists. The root of Hall's celebrification as a conversationalist, a rhetorician, and a preacher are all examined. Chapter 6 examines four of Hall's most famous sermons. It was these sermons that made Hall famous across the English nation and established him as a celebrity.

The assumption in economics of a representative agent is often made. However, it is a very rigid assumption. Hall and Jones (2004b) presented an economic model that essentially provided for a representative agent for each age group in determining the group's health level function. Our work seeks to extend their theoretical version of the model by allowing for two representative agents for each age—one for each of “Healthy” and “Sick” risk-factor groups—to allow for additional heterogeneity in the populace. The approach to include even more risk-factor groups is also briefly discussed. While our “extended” theoretical model is not applied directly to relevant data, several techniques that could be applicable were the relevant data to be obtained are demonstrated on other data sets. This includes examples of using linear classification, fitting baseline-category logit models, and running the genetic algorithm.