Theses and Dissertations
This collection includes both ASU Theses and Dissertations, submitted by graduate students, and the Barrett, Honors College theses submitted by undergraduate students.
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- Creators: Goegan, Brian
Description
This paper is intended to identify a correlation between the winning percentage of sports teams in the four major professional sports leagues in the United States and the GDP per capita of their respective cities. We initially compiled fifteen years of franchise performance along with economic data from the Federal Reserve Bank of St. Louis to analyze this relationship. After converting the data into a language recognized by Stata, the regression tool we used, we ran multiple regressions to find relevant correlations based off of our inputs. This paper will show the value of the economic impact of strong or weak performance throughout various economic cycles through data analysis and conclusions drawn from the results of the regression analysis.
ContributorsAndl, Tyler (Co-author) / Shirk, Brandon (Co-author) / Goegan, Brian (Thesis director) / Eaton, John (Committee member) / School of Accountancy (Contributor) / Department of Finance (Contributor) / Department of Supply Chain Management (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
Description
This paper intends to analyze the National Football League (NFL) and the role stadiums play within it. The NFL, being the nation's largest professional sports league, has experienced a large amount of volatility over the past couple of decades. Teams have relocated a significant number of times and stadium projects have grown in size, cost, and frequency. Because of these observations, we chose to focus in on this particular sports league in order to answer our many questions surrounding the role of a professional sports stadium in the economics of a city. We seek to understand the economics these sports stadiums impact on the league and the cities they reside in. To do this, we compiled data of NFL franchise wins, average ticket prices, stadiums, and franchise values, while researching the stadium building process and referencing the opinions of leading sports economists across the nation. Next, we discussed the process of building a stadium, which entails the core steps of design, construction, cost, and funding. We discuss tax-exempt municipal bonds, and explain what an impact economic analysis is and how teams use them to get cities to support their projects. Moreover, we discuss the threats of relocation and how the NFL can exert pressure on stadium project decisions. Finally, we talk about the future of the NFL, with a new trend of empty stadiums and make predictions for upcoming relocation destinations. Based on these findings, we draw conclusions on the economics of sports stadiums and offer our opinion on the current state of the NFL.
ContributorsGuillen, Sergio (Co-author) / Willms, Jacob (Co-author) / Goegan, Brian (Thesis director) / Eaton, John (Committee member) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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
Early in the development of American's interest in athletics there has been a conditioning of the mind toward promoting and rewarding male athletes, while ignoring and undercutting female athletes. There is substantial evidence of the existence of monetary and promotional time given to male athletes and very little support given to their female counterparts. The gender pay gap in professional sports is a culmination of gender discrimination within the entire sports realm. It appears to start at the high school level, continue on into the collegiate sector, and is finally magnified in the professional arena. In high school, male sport's programs are given preference to game and practice times, locations, as well as promotions. In college, male athletic programs are advertised and highlighted as being the premier events to go to. This is also seen in college bookstores with the dominating male event merchandise for sale. In the professional arena, the astronomical value of male athletes' salaries, which go into the multi-millions, makes the gender pay gap glaring. These discrepancies between men and women at each level of sport are in part caused by the underlying informal systems or societal norms and values currently present and encouraged in American culture and communities. These informal systems are often countered by formal systems, such as Title IX. Change cannot truly take place until the two systems are aligned. Thankfully, society today seems to be headed in a more equitable direction; therefore, promoting hope and promise for a more equal future between male and female athletes and their programs.
ContributorsBaldwin, Macy Jeanette (Author) / Goegan, Brian (Thesis director) / Eaton, John (Committee member) / School of Accountancy (Contributor) / WPC Graduate Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
This paper attempts to introduce analytics and regression techniques into the National Hockey League. Hockey as a sport has been a slow adapter of analytics, and this can be attributed to poor data collection methods. Using data collected for hockeyreference.com, and R statistical software, the number of wins a team experiences will be predicted using Goals For and Goals Against statistics from 2005-2017. The model showed statistical significance and strong normality throughout the data. The number of wins each team was expected to experience in 2016-2017 was predicted using the model and then compared to the actual number of games each team won. To further analyze the validity of the model, the expected playoff outcome for 2016-2017 was compared to the observed playoff outcome. The discussion focused on team's that did not fit the model or traditional analytics and expected forecasts. The possible discrepancies were analyzed using the Las Vegas Golden Knights as a case study. Possible next steps for data analysis are presented and the role of future technology and innovation in hockey analytics is discussed and predicted.
ContributorsVermeer, Brandon Elliot (Author) / Goegan, Brian (Thesis director) / Eaton, John (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Our thesis brought forth the question, how would the implementation of a salary cap into the English Premier League influence the entertainment level of the league as well as the financial aspects of the league. The English Premier League currently has no salary cap which allows teams with billionaire owners to heavily spend on star players and training facilities. This makes it extremely difficult for small market teams to be able to compete for silverware when put up against these high spending clubs. There is also a huge financial issue with a lot of clubs in the EPL because many of them are heavily in debt and rely constantly on loans from financial groups to support their high cash outflow. We hypothesized that this implementation of the cap would help teams become more financially stable as well as creating more parity in the league. To test these assumptions we issued a survey which asked various questions regarding what people preferred when watching a sporting league. We then ran a simulation on the video game FIFA 19 with our own created salary cap which we developed to see if the implementation of the cap would create more parity in the league. To test the validity of the simulation on the video game, we ran simulations on last years FIFA 18 and compared it with the actual standings of the league season from that year. According to our simulation, the EPL would be a much more competitive league with more exciting games and more chance for the smaller market teams to compete for the lucrative positions in the league table. We also compared the financial successes of the NBA versus the EPL to see if the cap has been beneficiary to the NBA since its’ adoption in the early 80’s. We concluded that the implementation of the salary cap would make the league more exciting as well as having the ability to make the clubs more financially stable.
ContributorsMcwatt, Aaron (Co-author) / Soldan, Dario (Co-author) / Goegan, Brian (Thesis director) / Eaton, John (Committee member) / Dean, W.P. Carey School of Business (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
The FIFA World Cup is one of the most anticipated, inspiring, and intense sporting events in the world. Soccer has integrated itself not only in sports circles, but also in politics, commerce, and society as a whole. The sport has about two hundred million active players and is still growing, especially in areas such as North America and Asia. As of mid-2007, FIFA’s membership included 208-member associations, making it not only one of the largest and most powerful sports governing bodies, but also one of the most popular in the world.
Since 1930—with the exception of the break for World War II—every four years, the world’s best national teams face off in a soccer tournament. The last two tournaments hosted by South Africa in 2010 and Brazil in 2014 will be the emphasis of this paper. Each tournament featured the thirty-two countries and captured a television audience of over three billion people throughout the month-long tournament, one billion of which tuned in for the final. For comparison, the Super Bowl XLIX where the New England Patriots defeated the Seattle Seahawks 28 to 24 was the most watched event in United States’ history with a viewership of 114.4 million people.
Countries spend years planning and preparing to win a bid to host one of these mega events. Bids are often times awarded eight to twelve years in advance. There has been a recent trend of developing countries hosting the FIFA World Cups and the future bids already awarded follow that trend. Many people ask the question of whether all the money spent on infrastructure, construction, and tourism to host this tournament and gain international exposure are really worth it? Simply put, the 2010 FIFA World Cup was valuable to South Africa while the 2014 FIFA World Cup was not worth the costs to Brazil.
Since 1930—with the exception of the break for World War II—every four years, the world’s best national teams face off in a soccer tournament. The last two tournaments hosted by South Africa in 2010 and Brazil in 2014 will be the emphasis of this paper. Each tournament featured the thirty-two countries and captured a television audience of over three billion people throughout the month-long tournament, one billion of which tuned in for the final. For comparison, the Super Bowl XLIX where the New England Patriots defeated the Seattle Seahawks 28 to 24 was the most watched event in United States’ history with a viewership of 114.4 million people.
Countries spend years planning and preparing to win a bid to host one of these mega events. Bids are often times awarded eight to twelve years in advance. There has been a recent trend of developing countries hosting the FIFA World Cups and the future bids already awarded follow that trend. Many people ask the question of whether all the money spent on infrastructure, construction, and tourism to host this tournament and gain international exposure are really worth it? Simply put, the 2010 FIFA World Cup was valuable to South Africa while the 2014 FIFA World Cup was not worth the costs to Brazil.
ContributorsLooney, Andrew (Author) / Goegan, Brian (Thesis director) / Eaton, John (Committee member) / Department of Economics (Contributor) / W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Since the emergence of behavioral economics, our understanding of human behavior and decision-making has improved through the widespread use of conducting experiments. In tandem, behavioral and experimental economists seek to merge psychology and emotion into economic thought to better understand the agents that comprise our economic systems. Vernon Smith, a Nobel Prize winning experimental economist, wrote an article on how economic agents in asset market experiments create bubbles (commonly referred to as "booms and busts" or "market crashes"). This study builds on Smith's work and seeks to better understand how participants behave when given information about the expected outcome of the experiment, and thus how external information affects an individual's expectations and behavior in financial markets. Upon the completion of the experiments and analyzing the results, 7 of the 14 experiments with the same parameters ended with the outcome consistent with the researcher's hypotheses. These results conclude that providing participants with different contextual information regarding outcome hypotheses affected their expectations, price speculations, and strategy development when approaching an asset market.
ContributorsLabansat, Derek (Author) / Goegan, Brian (Thesis director) / Eaton, John (Committee member) / Barrett, The Honors College (Contributor)
Created2017-12