Barrett, The Honors College Thesis/Creative Project Collection
Barrett, The Honors College at Arizona State University proudly showcases the work of undergraduate honors students by sharing this collection exclusively with the ASU community.
Barrett accepts high performing, academically engaged undergraduate students and works with them in collaboration with all of the other academic units at Arizona State University. All Barrett students complete a thesis or creative project which is an opportunity to explore an intellectual interest and produce an original piece of scholarly research. The thesis or creative project is supervised and defended in front of a faculty committee. Students are able to engage with professors who are nationally recognized in their fields and committed to working with honors students. Completing a Barrett thesis or creative project is an opportunity for undergraduate honors students to contribute to the ASU academic community in a meaningful way.
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- Creators: Department of Economics
Description
Beginning with the publication of Moneyball by Michael Lewis in 2003, the use of sabermetrics \u2014 the application of statistical analysis to baseball records - has exploded in major league front offices. Executives Billy Beane, Paul DePoedesta, and Theo Epstein are notable figures that have been successful in incorporating sabermetrics to their team's philosophy, resulting in playoff appearances and championship success. The competitive market of baseball, once dominated by the collusion of owners, now promotes innovative thought to analytically develop competitive advantages. The tiered economic payrolls of Major League Baseball (MLB) has created an environment in which large-market teams are capable of "buying" championships through the acquisition of the best available talent in free agency, and small-market teams are pushed to "build" championships through the drafting and systematic farming of high-school and college level players. The use of sabermetrics promotes both models of success \u2014 buying and building \u2014 by unbiasedly determining a player's productivity. The objective of this paper is to develop a regression-based predictive model that can be used by Majors League Baseball teams to forecast the MLB career average offensive performance of college baseball players from specific conferences. The development of this model required multiple tasks: I. Data was obtained from The Baseball Cube, a baseball records database providing both College and MLB data. II. Modifications to the data were applied to adjust for year-to-year formatting, a missing variable for seasons played, the presence of missing values, and to correct league identifiers. III. Evaluation of multiple offensive productivity models capable of handling the obtained dataset and regression forecasting technique. IV. SAS software was used to create the regression models and analyze the residuals for any irregularities or normality violations. The results of this paper find that there is a relationship between Division 1 collegiate baseball conferences and average career offensive productivity in Major Leagues Baseball, with the SEC having the most accurate reflection of performance.
ContributorsBadger, Mathew Bernard (Author) / Goegan, Brian (Thesis director) / Eaton, John (Committee member) / Department of Economics (Contributor) / Department of Marketing (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
In this work we analyze just what makes the topic of third party voting so intriguing to voters and why it is different than voting for one of the major parties in American politics. First, we will discuss briefly the history of politics in America and what makes it exciting. Next, we will outline some of the works by other political and economic professionals such as Hotelling, Lichtman and Rietz. Finally, using the framework described beforehand this paper will analyze the different stances that voters, candidates, and others involved in the political process of voting have regarding the topic of third party voting.
ContributorsMcElroy, Elizabeth (Co-author) / Beardsley, James (Co-author) / Foster, William (Thesis director) / Goegan, Brian (Committee member) / Department of Economics (Contributor) / School of International Letters and Cultures (Contributor) / Economics Program in CLAS (Contributor) / School of Politics and Global Studies (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
This paper is about youth leadership development in the context of South Sudan. Youth in South Sudan face numerous and complex challenges that prevent them from realizing their potential and contributing to the creation of peace, stability, and prosperity for themselves and their communities. Obstacles include, but are not limited, to poor quality and lack of access to education programs, increasing youth unemployment, the involvement of youth in the ongoing inter- and intra-ethnic conflicts, and the exclusion of youth from participating in meaningful and productive community activities. The presence of these challenges calls for programs that are informed by youth leadership development theory, research, and practice. In this paper, I present a review of scholarly literature on leadership theories pertinent to social change and youth development. I also conduct a study on three existing youth leadership development projects. Furthermore, I use the literature review and three case studies to draw design principles and curricular guidelines to inform a youth leadership program that I intend to establish in South Sudan. This draft framework will support my future initiative in facilitating programs that are designed to empower youth to achieve personal goals, while equipping them with the capacity to critically analyze and solve complex social problems. The road map towards the future program will also involve the identification of key partner institutions and organizations that can potentially support in designing and implementing the future project.
ContributorsYel, Madit Deng Ring (Author) / Foroughi, Behrang (Thesis director) / Baxter, Aryn (Committee member) / Thunderbird School of Global Management (Contributor) / W. P. Carey School of Business (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Today, statistical analysis can be used for a variety of different reasons. In sports, more particularly baseball, there is an increasing necessity to have better up to date analysis of players and their performance as they attempt to make it to the Major League. Athletes are constantly moving around within one or more organizations. Since they are moving around so often, clubs spend an ample amount of time determining whether or not it is for their benefit and betterment of the organization as a whole. The objective of this thesis is to utilize previous baseball statistics in StataSE to determine performance levels of players who played at the major league level. From these, regression-based performance models will be used to predict whether or not Major League Baseball organizations effectively and efficiently move players around from their farm systems to the big leagues. From this, teams will be able to see whether or not they in fact make the right decisions during the season. Several tasks were accomplished to achieve this outcome: 1. First, data was obtained from the Baseball-Reference statistics database and sorted in google sheets in order for me to perform analysis anywhere. 2. Next, all 1,354 players that entered the major leagues in the year 2016, were assessed as to whether or not they started in a given league and stayed, got promoted from the minor leagues to the majors, or demoted from the majors to the minor leagues. 3. Based off of prior baseball knowledge and offensive performance quantifications only, players' abilities were evaluated and only those who were called up or sent down were included in the overall analysis. 4. The statistical analysis software application, StataSE, was used to create a further analyze if any of the four major regression assumptions were violated. It was determined that logistic regression models would produce better results than that of a standard, linear OLS model. After testing multiple models, and slightly refining my hypothesis, the adjustments made developed a more accurate analysis of whether organizations were making an efficient move sending a player down to promote another player up. After producing the model, I decided to investigate at what level a player was deemed to be no longer able to perform at a Major League Baseball level.
ContributorsHayes, Andrew Joseph (Author) / Goegan, Brian (Thesis director) / Marburger, Daniel (Committee member) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
This Creative Project contains a short movie that is comprised of interviews with various business owners and entrepreneurs based in Arizona. The purpose of this project was originally to explore "how businesses finance their initial venture" but quickly evolved into open-ended interviews. Originally, one of the listed goals for the project was to ensure that the movie be entertaining for the viewer. In order to gain the richest experience, it was decided that at least 8-10 entrepreneurs be interviewed for a 25 minute video. Since the creator of the video had no prior videography experience, it was assumed to be feasible \u2014 but in order to maintain the integrity of the interviews, and in order to provide the viewer with a better background, the format was changed to a 44 minute movie with 5 featured businesses, though more than 30 businesses were considered. It became clear that the diversity of available interviewees and the complexity of the businesses and financing methods made it impractical to feature such a technical topic in the movie. Balancing the entertainment value of the film and its functional, educational purpose proved to be one of the challenges for the completion of the project. Each interview stands alone its own right, but it's highly recommended that the viewer watch the entire feature. The businesses are featured in the following order: DryClean U.S., Jeffrey Rivera (sole-proprietor), Arizona Hops and Vines, Rune Wines, and The Duquesne House Inn and Gardens. The viewer will find that the businesses featured include both service-based businesses and product-based businesses. In all, over 300 hours of planning, filming, writing, and video-editing contributed to successful completion of this project.
ContributorsElliott, Spencer William (Author) / Trujillo, Rhett (Thesis director) / Peck, Sidnee (Committee member) / Department of Management and Entrepreneurship (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
The purpose of this research project is to develop a recommendation for Company X on the strategies it should use to enter a new market. This was done through the compilation and interpretation of data from the company and the construction of a financial model capable of analyzing our different proposed strategies. Company X is a leading producer of silicon chips which seeks to remain one of the leading forces in new technologies. Currently Company X wants to assess the value and risks associated with introducing a new packaging technology (FO-WLP) into their products either by developing the technology in-house or outsourcing production. The first portion of the research consisted mostly of gathering the necessary business acumen to be able to to fully understand our research findings. Market research was conducted to discover what competitors exist and what inputs should be included for the model with help from employees at Company X. The research then proceeded with the identification of three possible strategies and construction of financial models to analyze these options. Using the results from our analysis we were able to develop our recommendation for Company X and lay out the next steps which the Company needs to take before investing in the new technology.
ContributorsRubenzer, Jack (Co-author) / Galaviz, Roberto (Co-author) / Mariani, Stephanie (Co-author) / Mecinas, Freddy (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Mike (Committee member) / Department of Finance (Contributor) / Department of Economics (Contributor) / Department of Supply Chain Management (Contributor) / T. Denny Sanford School of Social and Family Dynamics (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
The purpose of this project is to provide our client with a tool to mitigate Company X's franchise-wide inventory control problem. The problem stems from the franchises' initial strategy to buy all inventory as customers brought them in without a quantitative way for buyers to evaluate the store's inventory needs. The Excel solution created by our team serves to provide that evaluation for buyers using deseasonalized linear regression to forecast inventory needs for clothing of different sizes and seasons by month. When looking at the provided sales data from 2014-2016, there was a clear seasonal trend, so the appropriate forecasting model was determined by testing 3 models: Triple Exponential Smoothing model, Deseasonalized Simple Linear Regression, and Multiple Linear Regression.The model calculates monthly optimal inventory levels (current period plus future 2 periods of inventory). All of the models were evaluated using the lowest mean absolute error (meaning best fit with the data), and the model with best fit was Deseasonalized Simple Linear Regression, which was then used to build the Excel tool. Buyers can use the Excel tool built with this forecasting model to evaluate whether or not to buy a given item of any size or season. To do this, the model uses the previous year's sales data to forecast optimal inventory level and compares it to the stores' current inventory level. If the current level is less than the optimal level, the cell housing current value will turn green (buy). If the currently level is greater than or equal to optimal level or less than optimal inventory level*1.05, current value will turn yellow (buy only if good quality). If the current level is greater than optimal level*1.05 current level will be red (don't buy). We recommend both stores implement a way of keeping track of how many clothing items held in each bin to keep more accurate inventory count. In addition, the model's utility will be of limited use until both stores' inventories are at a level where they can afford to buy. Therefore, it is in the client's best interest to liquidate stale inventor into store credit or cash In the future, the team would also like to develop a pricing model to better meet the needs of the client's two locations.
ContributorsUribes-Yanez, Diego (Co-author) / Liu, Jessica (Co-author) / Taylor, Todd (Thesis director) / Gentile, Erica (Committee member) / Department of Economics (Contributor) / Department of Information Systems (Contributor) / Department of Marketing (Contributor) / School of International Letters and Cultures (Contributor) / School of Life Sciences (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
This paper examines the qualitative and quantitative effects of the 2008 financial crisis on the current landscape of the investment banking industry. We begin by reviewing what occurred during the financial crisis, including which banks took TARP money, which banks became bank holding companies, and significant mergers and acquisitions. We then examine the new regulations that were created in reaction to the crisis, including the Dodd-Frank Act. In particular, we focus on the Volcker Rule, which is a section of the act that prohibits proprietary trading and other risky activities at banks. Then we shift into a quantitative analysis of the changes that banks made from the years 2005-2016. To do this, we chose four banks to be representative of the industry: Goldman Sachs, Morgan Stanley, J.P. Morgan, and Bank of America. We then analyze four metrics for each bank: revenue mix, value at risk, tangible common equity ratio, and debt to equity ratio. These provide methods for analyzing how banks have shifted their revenue centers to accommodate new regulations, as well as how these shifts have affected banks' risk levels and leverage. Our data show that all four banks that we observed shifted their revenue centers to flatter revenue areas, such as investment management, wealth management, and consumer banking operations. This was paired with fairly flat investment banking revenues across the board when controlling for overall market changes in the investment banking sector. Additionally, trading-focused banks significantly shifted their operations away from proprietary trading and higher risk activities. These changes resulted in lower value at risk measures for Goldman Sachs and Morgan Stanley with very minor increases for J.P. Morgan and Bank of America, although these two banks had low levels of absolute value at risk when compared to Goldman Sachs and Morgan Stanley. All banks' tangible common equity ratios increased and debt to equity ratios decreased, indicating a safer investment for shareholders and lower leverage. We conclude by offering a forecast of our expectations for the future, particularly in light of a Trump presidency. We expect less regulation going forward and the potential reversal of the Volcker Rule. We believe that these changes would result in more revenue coming from trading and riskier strategies, increasing value at risk, decreasing tangible common equity ratios, and increasing debt to equity ratios. While we do expect less regulation and higher risk, we do not expect these banks to reach pre-crisis levels due to the significant amount of regulations that would be particularly difficult for the Trump administration to reverse.
ContributorsPatel, Aashay (Co-author) / Goulder, Gregory (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Michael (Committee member) / Department of Finance (Contributor) / Department of Economics (Contributor) / Economics Program in CLAS (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
A comprehensive review of the managed retreat literature reveals mixed feelings towards the legality, practicality and cost of the policy action as a way to react to rising sea level and coastal erosion. Existing research shows increasing costs of severe storm damage borne to insurance companies and private citizens, furthering the need for long-term policy actions that mitigate the negative effects of major storms. Some main policy actions are restricting development, strategically abandoning infrastructure, funding buyout programs, utilizing rolling easements, and implementing a variety of protective structures. These policy actions face various problems regarding their feasibility and practicality as policy tools, including wavering public support and total costs associated with the actions. Managed retreat specifically faces public scrutiny, as many coastal property owners are reluctant to retreat from the shore. This paper will use examples of managed retreat in other countries (Netherlands, Belgium, and France) to develop plans for specific municipalities, using their models, costs and successes to generate in-depth policy plans and proposals. When observing Clatsop County, Oregon and assessing its policy options, its established that the best policy option is a combination of beach nourishment and Controlled Reduced Tides. This paper analyzes several features of the county, such as the importance of its coastal economic activity and its geographical makeup, to decide what policy actions would be best to mitigate its risk from sea level rise and flood damages. The process used to determine the best course of action for Clatsop County can be replicated in other municipalities, although the resulting policies will obviously be unique to the area.
ContributorsBarry, Matthew John (Author) / Wells, David (Thesis director) / Bennett, Ira (Committee member) / School of Public Affairs (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Very little of modern America resembles the country that existed during the time of the Nation's founding. The country has technologically, socially, and economically advanced to the point of likely being unrecognizable to our Founding Fathers. However the American Voting system is strikingly similar to the system established over two centuries prior. The current system of First-Past-The-Post voting has numerous structural biases and inadequacies that contribute to the current level of American dissatisfaction. The system discourages compromise, prevents the formation of third parties, is vulnerable to manipulated, and contributes to the toxic American political environment. Adopting a replacement for the outdated First-Past-The-Post system would provide significant advantages to the current United States political system. In this paper both Alternative Voting and Proportional Representation systems will be evaluated as viable replacements for the current system. The ongoing nature of the American political experiment contributes to the obstacles of objective political science conclusions. In order to evaluate the current and possible replacement systems, a logical base is required. Information Measurement Theory utilizes dominant information to aid in the decision making process. Developed by Dean Kashiwagi to improve efficiency across multiple fields, this logical system simplifies complex issues down to their most basic elements. Information Measurement Theory will be used to determine: 1. Which voting system offers the clearest communication between the government and the governed 2. Which voting system best discourages strategic voting 3. Which system best promotes long term democratic stability Determining the voting system that best satisfies these three criteria will provide the American Electorate with an electoral reform goal and the means of improving the American political climate.
ContributorsBurke, Andrew Sutherland (Author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Committee member) / Department of Economics (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12