Matching Items (47)
Description
The NFL is one of largest and most influential industries in the world. In America there are few companies that have a stronger hold on the American culture and create such a phenomena from year to year. In this project aimed to develop a strategy that helps an NFL team be as successful as possible by defining which positions are most important to a team's success. Data from fifteen years of NFL games was collected and information on every player in the league was analyzed. First there needed to be a benchmark which describes a team as being average and then every player in the NFL must be compared to that average. Based on properties of linear regression using ordinary least squares this project aims to define such a model that shows each position's importance. Finally, once such a model had been established then the focus turned to the NFL draft in which the goal was to find a strategy of where each position needs to be drafted so that it is most likely to give the best payoff based on the results of the regression in part one.
ContributorsBalzer, Kevin Ryan (Author) / Goegan, Brian (Thesis director) / Dassanayake, Maduranga (Committee member) / Barrett, The Honors College (Contributor) / Economics Program in CLAS (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2015-05
Description
This paper explores the history of sovereign debt default in developing economies and attempts to highlight the mistakes and accomplishments toward achieving debt sustainability. In the past century, developing economies have received considerable investment due to higher returns and a degree of disregard for the risks accompanying these investments. As the former Citibank chairman, Walter Wriston articulated, "Countries don't go bust" (This Time is Different, 51). Still, unexpected negative externalities have shattered this idea as the majority of developing economies follow a cyclical pattern of default. As coined by Reinhart and Rogoff, sovereign governments that fall into this continuous cycle have become known as serial defaulters. Most developed markets have not defaulted since World War II, thus escaping this persistent trap. Still, there have been developing economies that have been able to transition out of serial defaulting. These economies are able to leverage debt to compound growth without incurring the protracted consequences of a default. Although the cases are few, we argue that developing markets such as Chile, Mexico, Russia, and Uruguay have been able to escape this vicious cycle. Thus, our research indicates that collaborative debt restructurings coupled with long term economic policies are imperative to transitioning out of debt intolerance and into a sustainable debt position. Successful economies are able to leverage debt to create strong foundational growth rather than gambling with debt in the hopes of achieving rapid catch- up growth.
ContributorsPitt, Ryan (Co-author) / Martinez, Nick (Co-author) / Choueiri, Robert (Co-author) / Goegan, Brian (Thesis director) / Silverman, Daniel (Committee member) / Department of Economics (Contributor) / Department of Information Systems (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / School of Politics and Global Studies (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2015-12
DescriptionThe paper intends to look at the issues surrounding trauma center proliferation, cost, and the worries of cascading failure.
ContributorsOcal, Jon (Author) / Douglas, Kacey (Thesis director) / Foster, William (Committee member) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
The esports scene has been constantly evolving ever since its inception in the early 1970s, growing from small arcade based tournaments to the multibillion dollar industry that can be observed today (Bountie Gaming, 2018). In fact, the term esports was not widely used until the early 2000s, decades after the first gaming tournaments had taken place. Decades prior, the earliest large-scale gaming tournament was hosted by Atari in 1980 for the game Space Invaders . While still primitive by today’s standards, games such as Space Invaders inspired fierce competition and effectively laid the foundation for what would grow into the booming industry that we see today (Edwards, 2013).
ContributorsCollins, Neil Andrew (Author) / Mendez, Jose (Thesis director) / Foster, William (Thesis director) / Pierce, John (Committee member) / Department of Economics (Contributor) / WPC Graduate Programs (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
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.
ContributorsFritzke, Jack Teodor (Author) / Washo-Krupps, Delon (Thesis director) / Foster, William (Committee member) / Levinson, Simin (Committee member) / School of Life Sciences (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
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.
ContributorsFriedman, Jared Davidson (Co-author) / Conner, Joshua (Co-author) / McClain, Jacob (Co-author) / Foster, William (Thesis director) / Lee, Christopher (Committee member) / Department of Information Systems (Contributor) / School of Accountancy (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
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.
ContributorsGaughan, Patrick Michael (Author) / Veramendi, Gregory (Thesis director) / Foster, William (Committee member) / Department of Finance (Contributor) / Department of Information Systems (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
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.
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.
ContributorsHsieh, Yee-Yang (Author) / Foster, William (Thesis director) / Douglas, Kacey (Committee member) / Economics Program in CLAS (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
In this paper, I attempt to measure the impact of education levels on a country’s productivity, measured by its Gross Domestic Product. I find that educational attainment is significantly correlated with economic growth. Previous research on this topic has shown similar results and concluded the importance of education on improving the GDP levels in a country.
ContributorsDanishyar, Roma (Author) / Goegan, Brian (Thesis director) / Hill, John (Committee member) / Dean, W.P. Carey School of Business (Contributor) / Department of Economics (Contributor) / Department of English (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
This paper aims to get a snapshot of charter school and public school performance in the state of California, specifically looking at high schools. Based off of data gathered on specific variables of interest and carefully constructed regression models, we are testing whether charter schools perform differently from public schools. This paper attempts to analyze results from standard OLS regression models and random effects GLS models, both with and without
interaction effects between charter schools and ethnicity and geographic area. While discussing results, this paper will also acknowledge limitations while drawing the line between correlation and causality. Our variable of interest throughout the paper is charter school, controlling for other factors that might impact API scores such as geographic area, demographics, and school
characteristics.
interaction effects between charter schools and ethnicity and geographic area. While discussing results, this paper will also acknowledge limitations while drawing the line between correlation and causality. Our variable of interest throughout the paper is charter school, controlling for other factors that might impact API scores such as geographic area, demographics, and school
characteristics.
ContributorsValdez, Logan Taylor (Author) / Goegan, Brian (Thesis director) / Murphy, Alvin (Committee member) / Department of Information Systems (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05