The field of behavioral economics explores the ways in which individuals make choices under uncertainty, in part, by examining the role that risk attitudes play in a person’s efforts to maximize their own utility. This thesis aims to contribute to the body of economic literature regarding risk attitudes by first evaluating the traditional economic method for discerning risk coefficients by examining whether students provide reasonable answers to lottery questions. Second, the answers of reasonable respondents are subject to our economic model using the CRRA utility function in which Python code is used to make predictions of the risk coefficients of respondents via a two-step regression procedure. Lastly, the degree to which the economic model provides a good fit for the lottery answers given by reasonable respondents is discerned. The most notable findings of the study are as follows. College students had extreme difficulty in understanding lottery questions of this sort, with Medical and Life Science majors struggling significantly more than both Business and Engineering majors. Additionally, gender was correlated with estimated risk coefficients, with females being more risk-loving relative to males. Lastly, in regards to the model’s goodness of fit when evaluating potential losses, the expected utility model involving choice under uncertainty was consistent with the behavior of progressives and moderates but inconsistent with the behavior of conservatives.

The growth of fintech companies in developing countries has led to increased levels of economic development and financial inclusion. This thesis explores the reasons for the success of these companies, with a focus on the impact they have on the local economy and their ability to provide financial services to underserved populations. The intent of this thesis is to educate the reader on the overall landscape of financial technology companies in developing countries. The writing will examine the specific types of services offered by these fintech companies that operate in developing countries and the catalysts that make them successful. It will also cover the impact that these companies have on the nations they operate in by looking at contributions to overall economic development and financial inclusion. The results of this literature will have implications for business leaders, policymakers, and investors interested in promoting financial inclusion and economic development through fintech.

Countries such as Haiti—where corruption, violence, and extreme poverty hinder economic growth and recovery— require multifaceted, interdisciplinary solutions. The United States, along with much of the western world, has a flawed understanding of foreign aid. Though current humanitarian efforts have effectively improved the lives of millions of Haitians, they fail to address the systemic roots of Haiti’s issues. Likewise, some efforts have been counterproductive or even harmful. If the US wishes to assist Haiti (and similar developing countries for that matter) in its journey to restoring the rule of law, reducing corruption, and empowering its citizens, it must collaborate with Haitian leaders and prioritize socioeconomic policy programs.