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Agent based models allow for complex results from simple parameters. The mobile agents in my model, the firms, are allocated an amount of capital, while the static agents, the workers, are allocated a range of wages. The firms are then allowed to move around and compete until they match with

Agent based models allow for complex results from simple parameters. The mobile agents in my model, the firms, are allocated an amount of capital, while the static agents, the workers, are allocated a range of wages. The firms are then allowed to move around and compete until they match with a worker that maximizes their production. It was found from the simulation that as competition increases so do wages. It was also found that when firms stay in the environment for longer that a higher wage is possible as a result of a larger window for drawn out competition. The different parameters result in a range of equilibriums that take variable amounts of time to reach. These results are interesting because they demonstrate that the mean wage is strongly dependent upon the window of time that firms are able to compete within. This type of model was useful because it demonstrated that there is a variation in the time dependence of the equilibrium. It also demonstrated that when there is very little entry and exiting of the market, that wage levels out at an equilibrium that is the same, regardless of the ratio between the number of firms and the number of workers. Further work to be done on this model includes the addition of a Matching Function so that firms and workers have a more fair agreement. I will also be adding parameters that allow for firms to see the workers around them so that firms are able to interact with multiple workers at the same time. Both of these alteration should improve the overall accuracy of the model.
ContributorsElledge, Jacob Morris (Author) / Veramendi, Gregory (Thesis director) / Murphy, Alvin (Committee member) / Department of Economics (Contributor) / Department of Physics (Contributor) / Barrett, The Honors College (Contributor)
Created2015-12
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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
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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

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
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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

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
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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

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
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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

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
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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

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.
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
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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 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.
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
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Description
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

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.
ContributorsJohnson, Matthew (Author) / Goegan, Brian (Thesis director) / Foster, William (Committee member) / School of Sustainability (Contributor) / Economics Program in CLAS (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
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Description
Educational inequity – derived from disproportionate levels of resource availability and school quality – warrants examination from an economic perspective. The basket of topics pertinent to education policy today, may be characterized (mostly) into three categories, all representing key theoretical concepts of economics: supply, demand, and sorting. Furthermore, funding, teacher,

Educational inequity – derived from disproportionate levels of resource availability and school quality – warrants examination from an economic perspective. The basket of topics pertinent to education policy today, may be characterized (mostly) into three categories, all representing key theoretical concepts of economics: supply, demand, and sorting. Furthermore, funding, teacher, and capital allocation patterns could inform the potential causal relationship between increased school demand (and resulting supply) and enhanced academic performance. My paper examines the district-level impact of positive school supply shocks – modeled via new school facility openings – on sorting and student performance on a standardized test. Applying econometric estimation techniques, my paper examines whether new school openings produce differential treatment effects in districts with separate socioeconomic composition. My methodology stems from previous research done by Cellini, Riegg, Ferreira, and Rothstein (2010), and Neilson and Zimmerman (2011). I also draw from Evans, Yoo, and Sipple (2010) to investigate an estimated version of student stability as a potential mechanism driving results. All 3 papers relate to school infrastructure and student performance. I find convincingly that test score improvements are relatively higher in districts experiencing a new school facility opening in FY 2009, than in districts without an opening. Additionally, I note treatment effect magnitude to be far smaller in districts exhibiting above-average income residents. In order to examine this finding further, I explore year-to-year changes in both pupil-to-teacher ratios and geographic mobility to characterize potential mechanisms behind this distinction. My results are consistent with research predecessors in that they suggest lower SES students benefit disproportionately from treatment and that test scores are decreasing in geographic mobility. Aside from previous research, I believe my finding that new school facilities most greatly improve student test performance in schools with lower pupil-to-teacher ratios, is unique and slightly inconsistent with the objective purpose of the new school facilities I examine. By using new school openings granted by the School Facilities Board of Arizona, I model a direct product of increased demand and am able to comment on how supply-side reactions impact high and low income districts differentially.
ContributorsBonaguidi, Matt (Author) / Veramendi, Gregory (Thesis director) / Murphy, Alvin (Committee member) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05