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- All Subjects: Economics
- Creators: Department of Finance
Description
The current model of revenue generation for some free to play video games is preventing the companies controlling them from growing, but with a few changes in approach these issues could be alleviated. A new style of video games, called a MOBA (Massive Online Battle Arena) has emerged in the past few years bringing with it a new style of generating wealth. Contrary to past gaming models, where users must either purchase the game outright, view advertisements, or purchase items to gain a competitive advantage, MOBAs require no payment of any kind. These are free to play computer games that provides users with all the tools necessary to compete with anyone free of charge; no advantages can be purchased in this game. This leaves the only way for users to provide money to the company through optional purchases of purely aesthetic items, only to be purchased if the buyer wishes to see their character in a different set of attire. The genre’s best in show—called League of Legends, or LOL—has spearheaded this method of revenue-generation. Fortunately for LOL, its level of popularity has reached levels never seen in video games: the world championships had more viewers than game 7 of the NBA Finals (Dorsey). The player base alone is enough to keep the company afloat currently, but the fact that they only convert 3.75% of the players into revenue is alarming. Each player brings the company an average of $1.32, or 30% of what some other free to play games earn per user (Comparing MMO). It is this low per player income that has caused Riot Games, the developer of LOL, to state that their e-sports division is not currently profitable. To resolve this issue, LOL must take on a more aggressive marketing plan. Advertisements for the NBA Finals cost $460,000 for 30 seconds, and LOL should aim for ads in this range (Lombardo). With an average of 3 million people logged on at any time, 90% of the players being male and 85% being between the ages of 16 and 30, advertising via this game would appeal to many companies, making a deal easy to strike (LOL infographic 2012). The idea also appeals to players: 81% of players surveyed said that an advertisement on the client that allows for the option to place an order would improve or not impact their experience. Moving forward with this, the gaming client would be updated to contain both an option to order pizza and an advertisement for Mountain Dew. This type of advertising was determined based on community responses through a sequence of survey questions. These small adjustments to the game would allow LOL to generate enough income for Riot Games to expand into other areas of the e-sports industry.
ContributorsSeip, Patrick (Co-author) / Zhao, BoNing (Co-author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Committee member) / Barrett, The Honors College (Contributor) / Sandra Day O'Connor College of Law (Contributor) / Department of Economics (Contributor) / Department of Supply Chain Management (Contributor)
Created2015-05
Description
A growing number of jobs in the US require a college degree or technical education, and the wage difference between jobs requiring a high school diploma and a college education has increased to over $17,000 per year. Enrollment levels in postsecondary education have been rising for at least the past decade, and this paper attempts to tease out how much of the increasing enrollment is due to changes in the demand by companies for workers. A Bartik Instrument, which is a measure of local area labor demand, for each county in the US was constructed from 2007 to 2014, and using multivariate linear regression the effect of changing labor demand on local postsecondary education enrollment rates was examined. A small positive effect was found, but the effect size in relation to the total change in enrollment levels was diminutive. From the start to the end of the recession (2007 to 2010), Bartik Instrument calculated unemployment increased from 5.3% nationally to 8.2%. This level of labor demand contraction would lead to a 0.42% increase in enrollment between 2008 and 2011. The true enrollment increase over this period was 7.6%, so the model calculated 5.5% of the enrollment increase was based on the changes in labor demand.
ContributorsHerder, Daniel Steven (Author) / Dillon, Eleanor (Thesis director) / Schoellman, Todd (Committee member) / Economics Program in CLAS (Contributor) / Department of Psychology (Contributor) / Sandra Day O'Connor College of Law (Contributor) / School of Politics and Global Studies (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
In a season that spans 162 games over the course of six months, MLB teams that travel more face additional fatigue and jetlag from travel. This factor could negatively impact them on the field. To explore this issue, I tested the significance of different variables by creating four models, which compared travel with a team's ability to win games as well as its ability to hit home runs. Based on these models, it appears as though changing time zones does not affect the outcome of games. However, these results did indicate that visiting teams with a greater time zone advantage over their opponent are less likely to hit a home run in a game.
ContributorsAronson, Sean Matthew (Author) / MacFie, Brian (Thesis director) / Eaton, John (Committee member) / Barrett, The Honors College (Contributor) / Department of Economics (Contributor) / WPC Graduate Programs (Contributor) / Department of Finance (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / W. P. Carey School of Business (Contributor)
Created2014-05
Description
An integral part of the financial system, the evolutionary history of commercial banking remains largely uncharted and is often grouped into banking development as a whole. Previous research on banking has primarily relied on economic analysis or has placed banking in a larger social context. This work aims to bridge the two by classifying commercial banking growth into four cycles of expansion, application, and decline. Drawing from historical accounts and growth cycle theory, this framework for classification is developed to better synthesize its progress and the fundamental innovations that changed the banking system. Beginning in 1150 with the foundation for deposit banking, the next three cycles of 1500, 1750, and 1933 mark periods of great innovation and a push toward the regulatory environment, technology, and globalization that define modern commercial banking. Paralleling the economic, financial, and political development of the Western World, its evolution is guided by three themes: the increased accumulation and flow of capital, regulation, and market expansion.
ContributorsSinger, Andrea Cayli (Author) / Licon, Wendell (Thesis director) / Hoffmeister, Ron (Committee member) / Brooks, Dan (Committee member) / Barrett, The Honors College (Contributor) / School of Historical, Philosophical and Religious Studies (Contributor) / W. P. Carey School of Business (Contributor) / Department of Finance (Contributor)
Created2013-05
Description
The situation in the Euro-Zone is fluctuating daily with various efforts to curb the contagion of certain Euro-Zone member states. In the effort to focus on the greater macroeconomic and social impact of the Euro-Zone, this paper concentrates on the history of the Euro-Zone, the causes of the crisis, outlines potential solutions, discusses individual perspectives on the issue, and describes a prediction for the future of the Euro-Zone.
ContributorsTom, Bryan (Co-author) / Smith, Kelley (Co-author) / Mendez, Jose (Thesis director) / Datta, Manjira (Committee member) / Roberts, Nancy (Committee member) / Barrett, The Honors College (Contributor) / School of International Letters and Cultures (Contributor) / Department of Finance (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Economics Program in CLAS (Contributor) / W. P. Carey School of Business (Contributor)
Created2013-05
Description
With aggregate background knowledge and best methodology practices from the literature review, this exploratory study seeks to further gather and advance knowledge on the subject of birthrate trends with respect to the economic conditions affecting the decisions to reproduce. The scope of the study particularly investigates the possible effects of the 2008 downturn of the economy and the concurring home mortgage crisis on birthrates in Arizona.
ContributorsGuseynov, Ruslan Saidovich (Author) / Fey, Richard (Thesis director) / Reesing, Amy (Committee member) / Hayford, Sarah (Committee member) / Barrett, The Honors College (Contributor) / T. Denny Sanford School of Social and Family Dynamics (Contributor) / Department of Finance (Contributor)
Created2013-05
Description
As temperatures increase across the United States, some populations are more at risk for heat-related death and illness than others. One of these at-risk demographics is mobile home and trailer park inhabitants, who are disproportionately represented among indoor heat-related deaths (Solís, “Heat, Health”). In this paper, we outline a cost-benefit analysis that was used to calculate the net present economic value of projects related to reducing heat burden on mobile home owners and parks in Maricopa County. We use this model to assess solutions developed by student teams under the Knowledge Exchange for Resilience’s Summer Heat Resilience Challenge. We find that one of the seven solutions has a positive net present value (NPV) even in the lowest effectiveness (10%), while three more solutions have a positive NPV in the mid-level (50%) effectiveness scenario, showcasing their economic viability.
ContributorsRobinson, Jacob (Author) / Solís, Patricia (Thesis director) / Markolf, Samuel (Committee member) / Department of Psychology (Contributor) / Department of Finance (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
Accurately assessing Major League Baseball player value is at the core of consistent success for any MLB organization. Effectively targeting players in trades and strategically spending available funds in the free agent market are of increasing importance as MLB salaries rise. In a sport where it takes 162 games to separate contenders, any advantage in identifying talent can be the difference between winning and losing. This paper draws team batting data from the past seven MLB seasons and runs a multi-variable regression to measure the run value of each individual batting outcome. If teams can more accurately measure the offensive value a player produces, they can more optimally spend their finances. Our regression results suggest that previously used statistics such as wOBA and OPS neglect outcome that have significant effects: baserunning ability and out type. Further contract analysis on four free-agent signing from 2018-2019 free agent class illustrate that teams often over and underestimate player value and could benefit greatly with more accurate player evaluation.
ContributorsGildea, Matthew E (Author) / Eaton, John (Thesis director) / Mokwa, Michael (Committee member) / Department of Economics (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
The Medicaid expansion policy that was introduced during the Obama administration has been a political point of controversy. The expansion aimed to increase health insurance coverage for those who are unable to afford health insurance for themselves.
This analysis aimed to determine the economic effect of the Medicaid expansion on real GDP per capita. The expansion is believed to result in greater worker productivity and increases in healthcare service consumption and consumption of other goods. As health insurance coverage may increase real GDP per capita due to healthier workers being more productive, an analysis was first done on the effect of the expansion on health insurance coverage, then the effect of the health insurance coverage on real GDP per capita. The data used was in the time frame of 1999 to 2016 and organized by state, and gathered from the Bureau of Economic Analysis, the U.S Census Bureau, the Kaiser Family Foundation, Bureau of Labor Statistics, and the Federal Reserve Bank of St. Louis. The analysis was structured as a 2-stage multivariable linear regression. These regressions were modeled as a fixed-effects regression so states may be compared to itself over time. The first regression was of health insurance coverage on proportions of industry output from the agriculture, resources, manufacturing, and finance sector, median income, employment rate, poverty rate, Medicaid expansion status, and year. The predicted values of this regression were then used as an instrumental variable in the second regression. The second regression was of real GDP per capita on proportions of industry output from the agriculture, resources, manufacturing, and finance sector, median income, employment rate, poverty rate, the instrumental variable, and year. Regressions were also done on the expansion’s effect on per capita personal consumption expenditures and healthcare consumption expenditures using the instrumental variable.
The results of the regressions show that the expansion had a positive effect on health insurance coverage and real GDP per capita. It also increased personal expenditures per capita and healthcare expenditures per capita, suggesting that the lower price of healthcare results in increased overall consumption. The data was constrained by time, as the expansion was only implemented recently, and some states are still deciding whether or not to. Thus, the results of support expectations, but more time would need to pass to more accurately estimate the effects of the expansion on these states.
This analysis aimed to determine the economic effect of the Medicaid expansion on real GDP per capita. The expansion is believed to result in greater worker productivity and increases in healthcare service consumption and consumption of other goods. As health insurance coverage may increase real GDP per capita due to healthier workers being more productive, an analysis was first done on the effect of the expansion on health insurance coverage, then the effect of the health insurance coverage on real GDP per capita. The data used was in the time frame of 1999 to 2016 and organized by state, and gathered from the Bureau of Economic Analysis, the U.S Census Bureau, the Kaiser Family Foundation, Bureau of Labor Statistics, and the Federal Reserve Bank of St. Louis. The analysis was structured as a 2-stage multivariable linear regression. These regressions were modeled as a fixed-effects regression so states may be compared to itself over time. The first regression was of health insurance coverage on proportions of industry output from the agriculture, resources, manufacturing, and finance sector, median income, employment rate, poverty rate, Medicaid expansion status, and year. The predicted values of this regression were then used as an instrumental variable in the second regression. The second regression was of real GDP per capita on proportions of industry output from the agriculture, resources, manufacturing, and finance sector, median income, employment rate, poverty rate, the instrumental variable, and year. Regressions were also done on the expansion’s effect on per capita personal consumption expenditures and healthcare consumption expenditures using the instrumental variable.
The results of the regressions show that the expansion had a positive effect on health insurance coverage and real GDP per capita. It also increased personal expenditures per capita and healthcare expenditures per capita, suggesting that the lower price of healthcare results in increased overall consumption. The data was constrained by time, as the expansion was only implemented recently, and some states are still deciding whether or not to. Thus, the results of support expectations, but more time would need to pass to more accurately estimate the effects of the expansion on these states.
ContributorsSmoudi, Senan (Author) / Silverman, Daniel (Thesis director) / Baldwin, Marjorie (Committee member) / Department of Finance (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Abstract: Handling the multiple functions of monetary policy that protect the U.S. economy not only on a short term, but also long-term scale is a complicated responsibility assigned to Federal Reserve, in which their actions present a profound impact on consumer confidence towards financial markets and global economies. Specifically, one of the most important goals of the Federal Reserve is to mitigate the risk of the United States to enter a recession, while maintaining a balanced approach when making those policy decisions. In this thesis, we focus on the monetary policy of the Federal Reserve, particularly, their role in controlling interest rates to prevent recessionary sentiment in the current state of the economy. Since 2008, markets have been stronger and previous policies like Dodd-Frank have ensured that market collapses during the Great Recession do not repeat itself. Yet, fluctuations in the yield curve, polarizing investment views, and unsettled consumer confidence has pointed to another recession in the near future. In this case, we will look at the way the Fed has implemented short term policies to lower this risk in order to fight volatile markets, however, fluctuating interest rates has its consequences. The goal of this thesis is to analyze the various ways the Fed has managed interest rates in the past and present, and further, to offer a framework to serve as the most effective policy to combat volatility and recessionary sentiment in the U.S. economy.
ContributorsPatel, Dylan (Author) / Sacks, Jana (Thesis director) / Simonson, Mark (Committee member) / Economics Program in CLAS (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05