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- All Subjects: sports
- All Subjects: MLB
- 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 thesis project provides a thorough cost-benefit analysis of the golf industry in Arizona. We begin by examining the economic, environmental, and social costs that the industry requires. One of the largest costs of the industry is water consumption. Golf courses in Arizona are currently finding ways to reduce water consumption through various methods, such as turf reduction and increasing the usage of drip irrigation. However, even at current levels of consumption, golf only consumes 1.9% of water in Arizona, compared to the 69% consumed by agriculture. Of the water consumed by the golf industry, 26.3% is wastewater, otherwise known as effluent water. Since the population in Arizona is projected to grow significantly over the next decade, the amount of effluent water produced will also increase. Due to this, we recommend that the golf industry move towards using as much effluent water as possible to conserve clean water sources. Additionally, we examine land allocation and agricultural tradeoffs to the state. Most golf courses are built in urban areas that would not be suitable for agriculture. The same land could be used to build a public park, but this would not provide as many economic benefits to the state. Many courses also act as floodplains which protect the communities surrounding them from flooding. These floodplains have proven to be crucial to protect from occasional flash floods by diverting the excess water away from homes. We also discuss golf's primary social cost in terms of its perception as being a sport played exclusively by privileged and wealthy people. This is proven to be false due to many non-profit organizations centered around the game, as well as municipal courses that provide affordable options for all citizens who want to play. We provide an in-depth analysis of the benefits that the industry provides to the state and its citizens primarily through business and tax revenue, employment, and property values. Including multiplier effects, the golf industry contributed 42,000 full- and part-time jobs, $3.9 billion in sales, $1.5 billion in labor income, and $2.1 billion value added in 2014. An estimated $72 million in state and local taxes were generated from golf facilities alone, without including taxes from indirectly impacted businesses. This tax revenue provides a great benefit to the public sector and increases Arizona's GDP. Also, much of this economic contribution is from the golf tourism industry, which brings new revenue into the state that would otherwise not exist. Golf courses also increase the surrounding real estate prices anywhere from 4.8% to 28%, providing a positive externality to community members in addition to scenic views. Finally, we provide a case study of the Waste Management Phoenix Open (WMO) to illustrate the impact of Arizona's single largest golf event each year. In 2017, the event brought an estimated $389 million into Arizona's economy in one week alone. Also, it regularly hosts massive crowds with a record-breaking 719,179 people attending the event in 2018. The WMO has also taken a "Zero Waste Challenge" to promote eco-friendly and sustainable practices by diverting all of the waste and materials produced by the tournament from landfills. The WMO has been dubbed both the "Greatest Show On Grass" and the "Greenest Show On Grass" due to the entertainment value provided as well as its effort to improve the environment.
ContributorsShershenovich, Andrew (Co-author) / Wilhelm, Spencer (Co-author) / Goegan, Brian (Thesis director) / Van Poucke, Rory (Committee member) / Department of Finance (Contributor) / W.P. Carey School of Business (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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
Phoenix, Arizona is the sixth largest city in the United States. However, the city has never had a MLS team. In 1996, Major League Soccer was founded with ten clubs. Now the league plans to expand from twenty-four to twenty-eight. With multiple teams joining the league, why shouldn't Phoenix be the next market to expand the MLS? This project will analyze if the Phoenix market could host a profitable team. There have been a handful of lower division professional soccer teams in Arizona, but none of them have been sustainable, let alone make it to the MLS. Why is that? What are the steps to create an MLS Franchise? Through researching the factors behind soccer's increased popularity in United States and the history of professional soccer in Arizona perform a market analysis of Arizona's soccer fan base, ownership group, and MLS stadium potential.
ContributorsGodbehere, Tyler Joseph (Author) / Goegan, Brian (Thesis director) / Leach, Travis (Committee member) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Our research encompassed the prospect draft in baseball and looked at what type of player teams drafted to maximize value. We wanted to know which position returned the best value to the team that drafted them, and which level is safer to draft players from, college or high school. We decided to look at draft data from 2006-2010 for the first ten rounds of players selected. Because there is only a monetary cap on players drafted in the first ten rounds we restricted our data to these players. Once we set up the parameters we compiled a spreadsheet of these players with both their signing bonuses and their wins above replacement (WAR). This allowed us to see how much a team was spending per win at the major league level. After the data was compiled we made pivot tables and graphs to visually represent our data and better understand the numbers. We found that the worst position that MLB teams could draft would be high school second baseman. They returned the lowest WAR of any player that we looked at. In general though high school players were more costly to sign and had lower WARs than their college counterparts making them, on average, a worse pick value wise. The best position you could pick was college shortstops. They had the trifecta of the best signability of all players, along with one of the highest WARs and lowest signing bonuses. These were three of the main factors that you want with your draft pick and they ranked near the top in all three categories. This research can help give guidelines to Major League teams as they go to select players in the draft. While there are always going to be exceptions to trends, by following the enclosed research teams can minimize risk in the draft.
ContributorsValentine, Robert (Co-author) / Johnson, Ben (Co-author) / Eaton, John (Thesis director) / Goegan, Brian (Committee member) / Department of Finance (Contributor) / Department of Economics (Contributor) / Department of Information Systems (Contributor) / School of Accountancy (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
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
The purpose of this thesis is to examine the factors leading to the valuations of professional sports teams, with a focus on three of the largest professional sports by revenue: soccer, baseball, and basketball. The main goal of this report is to analyze historical growth rates in the total price paid for professional sports teams and the value-added activities that lead to increased sales prices well above the Forbes yearly valuation. Additionally, we will incorporate statistical analysis and data sets highlighting different approaches and valuation tactics used when determining a proper sales price for a team that can be incorporated in future research and provide a basis for explaining the high price many are willing to pay to acquire a sports franchise.
ContributorsProietti, David Anthony (Co-author) / Frei, Sebastian (Co-author) / Goegan, Brian (Thesis director) / Garverick, Michael (Committee member) / School of Accountancy (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05