Regenerative medicine is a relatively new area of interest among researchers and physicians alike and has truly come to light within the last twenty years. Its purpose is to “regenerate” cells in our body to return tissue and organs systems to their normal functions by utilizing innate cell mechanisms. Uses have ranged from growing completely new body tissue in labs, to promoting the repair of damaged neurons. More recently, the use of regenerative medicine techniques such as stem cell and platelet rich plasma therapy has seen significant growth throughout high level and professional sports. Beginning in the early 2000s, treatments quickly gained popularity as professional athletes began using them as an alternative to surgery, but this came before any concrete scientific support. This thesis paper will analyze the current statistical data supporting the use of platelet rich plasma and stem cell therapy and associated regulations to describe the connection between regenerative medicine and sports.

This project was organized to analyze a multitude of data in order to determine the economic impact of a professional sports team starting in a particular location, or “market”. The thesis group (“group”) collected historical data on professional sports teams from 1975 to present, state economic data as applicable, and data indicating sports fan preferences and behavior. This data was collected, cleaned, and analyzed in order to understand trends and impacts of sports teams in local economies. The group looked at a number of statistical factors including team performance, championships, state GDP and employment, and digital trends regarding the sports teams. Using economic models and statistics, the group was able to derive insights on the factors that cause sports teams to influence the economy they are located in. Additionally, the group analyzed reporting on teams in particular markets, as well as the financing surrounding stadiums to provide a diverse perspective on the topic. At a high level, starting a professional sports team in a new market does not have a significant impact on the economy: the data did not demonstrate statistical significance and qualitative analysis proved that the impact of a new team is negligible. The following serves as documentation and explanation of the group’s analysis on this topic.

Since Abdulkadiroglu and Sonmez’s influential paper in 2003 that
merges school choice and mechanism design, research in the rapidly
growing school choice literature has been mainly focused on the
design of mechanisms with desirable properties or more realistic
assumptions. However, lab experiments often show that subjects do
not report preferences according to the experimenters’ expectation,
and the experiments rarely provide an in-depth analysis of why the
subjects behave in such confounding ways. My thesis formulates
preference reporting in school choice as a game by incorporating a
payoff schedule and proposes mixed strategy Nash equilibrium as a
way to predict preference reporting.

Individual’s outcomes are significantly affected by occupation share changes. This is supported by regression analysis of the Displace Workers Survey a supplement to the Current Population Survey – a nationally representative panel data set. Regression analysis is used to demonstrate that individuals in occupations that are increasing as a share of the total number of workers are better off across the gamut of outcomes than their counterparts in occupations that are decreasing as a share of the total number of workers. Workers in occupations with increasing shares are more likely to find jobs quickly, less likely to experience significant wage losses, less likely to change occupation, and less likely to go on to welfare.

This paper analyzes responses to a survey using a modified fourfold pattern of preference to determine if implicit information, once made explicit, is practically significant in nudging irrational decision makers towards more rational decisions. Respondents chose between two scenarios and an option for indifference for each of the four questions from the fourfold pattern with expected value being implicit information. Then respondents were asked familiarity with expected value and given the same four questions again but with the expected value for each scenario then explicitly given. Respondents were asked to give feedback if their answers had changed and if the addition of the explicit information was the reason for that change. Results found the addition of the explicit information in the form of expected value to be practically significant with ~90% of respondents who changed their answers giving that for the reason. In the implicit section of the survey, three out of four of the questions had a response majority of lower expected value answers given compared to the alternative. In the explicit section of the survey, all four questions achieved a response majority of higher expected value answers given compared to the alternative. In moving from the implicit to the explicit section, for each question, the scenario with lower expected value experienced a decrease in percentage of responses, and the scenario with higher expected value and indifference between the scenarios both experienced an increase in percentage of responses.

This paper proposes that voter decision making is determined by more than just the policy positions adopted by the candidates in the election as proposed by Antony Downs (1957). Using a vector valued voting model proposed by William Foster (2014), voter behavior can be described by a mathematical model. Voters assign scores to candidates based on both policy and non-policy considerations, then voters then decide which candidate they support based on which has a higher candidate score. The traditional assumption that most of the population will vote is replaced by a function describing the probability of voting based on candidate scores assigned by individual voters. If the voter's likelihood of voting is not certain, but rather modelled by a sigmoid curve, it has radical implications on party decisions and actions taken during an election cycle. The model also includes a significant interaction term between the candidate scores and the differential between the scores which enhances the Downsian model. The thesis is proposed in a similar manner to Downs' original presentation, including several allegorical and hypothetical examples of the model in action. The results of the model reveal that single issue voters can have a significant impact on election outcomes, and that the weight of non-policy considerations is high enough that political parties would spend large sums of money on campaigning. Future research will include creating an experiment to verify the interaction terms, as well as adjusting the model for individual costs so that more empirical analysis may be completed.

This paper explores the potential impact of population aging trends on support for the financing of public education using an applied theoretical approach. As demographic projections anticipate significant increases in the relative share of elderly individuals in the population, the question of how age distribution in a population effects support for public goods such as education becomes increasingly significant. Conventional wisdom suggests that an upward shift in age distribution – increasing the share of elderly individuals relative to workers – will result in decreased support for public education due to elderly individuals’ lack of utility from investments in future productivity. This paper demonstrates that such conventional wisdom does not hold in a simple two-district overlapping generations model and shows that an increasing share of elderly individuals in the population may result in increased levels of funding for education due to changes in a district’s tax base.

The model developed in this paper builds on the work of Mark Gradstein and Michael Kaganovich who demonstrated that while increasing longevity in a two-generation OLG model with two municipal districts creates a downward pressure on tax rates, this effect is dominated by changing political incentives among workers. This paper expands upon the Gradstein-Kaganovich model by introducing endogenous migration rates between districts in the model in order to reflect households’ incentives to minimize tax burden in retirement. It can be shown that as consumers’ responsiveness to differences in tax rates increases, the difference in education funding levels between districts decreases despite the difference in the relative share of elderly individuals in each population increasing. This result stems from the changes in each districts’ tax base brought on by the endogenous migration rate. Based on this finding, this study concludes that retirees function as a positive financial externality when education funding is tied to consumption levels and reaffirms Gradstein and Kaganovich’s conclusion that increasing the relative share of elderly individuals in a population does not necessarily result in decreased funding for public education as conventional wisdom would suggest.

Since 2014, the legal marijuana industry has flourished in Colorado, the first state to ever legalize its recreational use in the United States. It is necessary to fully understand the economic impact of the implementation of the recreational system as well as the characteristics of the market for lawmakers, business owners, and voters to make educated decisions on future legislation. This report will delve into these matters in an objective manner to provide all the stakeholders in any present or future recreational marijuana market (users, business owners, legislators) with accurate information on the current state of the industry. Starting with an introduction of the history of marijuana in the United States, as well as the factors that led to its illegality, offers insight into the past and current laws currently impacting the recreational marijuana market in Colorado, with special emphasis on the state regulatory framework in place at this time. The analysis will include an in-depth examination of the current market forces at play in the recreational marijuana market, including technological, sociological, and economic factors, with a look at current business-level strategies for marijuana businesses and the threats arising from alcohol and tobacco, the drug's main substitutes. This report will explain the tax framework in place in Colorado, and investigate trends in market sales and tax revenues, including detailed statistics on the distribution of tax revenue throughout the state. A comprehensive analysis of the legislative issues the market faces, both in Colorado and across the country, will thoroughly indicate the major problems the industry must overcome in the future, or whether it can do so at all. These will include difficulties in the banking, taxation, insurance, and bankruptcy systems that marijuana-related businesses currently face.