By Dylan Newman
This paper examines factors that affect the transfer value of players transferred into the English Premier League from 2009–2015. The analysis begins by examining what factors are significant in determining a player’s projected transfer fee based on the website Transfermarkt.com as well as the actual fee that the player was sold for. The paper goes on to find that competition level and a player’s form are not statistically significant in models built to determine a player’s transfer value. Quantile regression is then used to illustrate that there is a superstar effect with a forward’s goal’s scored in the transfer market.
Advisor: Kent Kimbrough, Peter Arcidiacon | JEL Codes: L83, Z21 | Tagged: English Premier League, Quantile Regression, Soccer Transfer Fee
By Abby Snyder
This paper examines the effects of different school and district characteristics on SAT scores across North Carolina from 2007 to 2014. Such characteristics include demographics, poverty and wealth indicators, measures of classroom environment, and achievement levels. A pooled time series panel across districts and schools with fixed effects is used to determine the strength of influence these variables have on scores. Ultimately, this paper identifies which characteristics lead to over– or under–performance relative to predicted values; further, it considers the implications of the SAT being more of an “achievement” test versus an “aptitude” test.
Advisor: Charles Becker | JEL Codes: I2, I24 | Tagged: Achievement Gap, Aptitude Test, Education, SAT
BIDDING FOR PARKING: The Impact of University Afﬁliation on Predicting Bid Values in Dutch Auctions of On-Campus Parking Permits
By Grant Kelly
Parking is often underpriced and expanding its capacity is expensive; universities need a better way of reducing congestion outside of building costly parking garages. Demand based pricing mechanisms, such as auctions, offer a possible solution to the problem by promising to reduce parking at peak times. However, faculty, students, and staff at universities have systematically different parking needs, leading to different parking valuations. In this study, I determine the impact university afﬁliation has on predicting bid values cast in three Dutch Auctions of on-campus parking permits sold at Chapman University in Fall 2010. Using clustering techniques crosschecked with university demographic information to detect afﬁliation groups, I ran a log-linear regression, ﬁnding that university afﬁliation had a larger effect on bid amount than on lot location and fraction of auction duration. Generally, faculty were predicted to have higher bids whereas students were predicted to have lower bids.
Advisor: Alison Hagy, Allan Collard-Wexler, Kent Kimbrough | JEL Codes: C38, C57, D44, R4, R49 | Tagged: Auctions, Parking, University Parking, Bidder Afﬁliation, Dutch Auction, Clustering
By Caitlin Mcgough
This paper addresses the unintended consequences of AML/CFT regulations, seeking to provide an economic analysis of the drivers of de–risking and the broader consequences for the goal of financial integrity. Looking at qualitative data, this paper (1) concludes the problem of de–risking warrants a reconsideration of the enforcement approach and (2) recommends reorienting the banks’ payoff matrix by reducing the cost of compliance and regulatory risk associated with providing financial services to high–risk, low–profit customers. This paper culminates with the recommendation to consider tolerating “honest mistakes” on the part of financial institutions in order to achieve the goals of integrity and inclusion in the international financial system.
Advisor: Connel Fullenkamp | Tagged: De-Risking, Financial Inclusion, Money Laundering, Terrorism Financing
By Chuka Obiofuma
Nigeria’s heavy dependence on oil makes it a prime target for the resource curse. The occurance of this phenomenon in Nigeria could mean that there is capital flight from the agricultural sectors of the economy when the oil sector increases in profitability. This would disproportionately hurt the poor of Nigeria who depend on agriculture for their livelihood. This work investigates whether or not the Nigerian government, the largest investor into the Agricultural sector, tends to increase or decrease its investment in the agricultural sector as global oil prices rise. Using data from the years 1978-2014, the results of this paper show that as oil prices increase so too does the Nigerian government’s investment in its agricultural sector.
Advisor: Alison Hagy, Gale Boyd | JEL Codes: I28, O13, Q43 | Tagged: Agriculture, Energy, Government Policy
By James Stevenson
In financial markets, the terms “bull” and “bear” markets are used to describe the cyclicality of asset prices. Similar to asset price cycles, there are cycles in regulatory scrutiny. Beginning in the 1980’s, regulatory scrutiny diminished, cumulating in the repeal of the Glass-Steagall Act in 1999, allowing commercial banks and securities firms to be housed under the same roof for the first time since the 1930’s. In the aftermath of the global financial crisis in 2008 and 2009, the tides have reversed on financial regulation. With the Dodd-Frank reforms in the United States, and similar regulation being signed into law around the world, it is unknown how new regulation will affect financial markets. Legislators wrote the new rules in hopes that they would create safer financial institutions, but at what cost?
Advisor: Connel Fullenkamp | JEL Codes: G1, G12, G18 | Tagged: Dodd-Frank, Financial Regulation, Foreign Exchange, Market Liquidity, Volcker Rule
By Joshua Rosen
NBA teams have the opportunity each offseason to sign free agents to alter their rosters. Using only regular season per game statistics, I examine the best method of calculating a player’s appropriate salary value based upon his contribution to a team’s regular season win percentage. I first determine which statistics most accurately predict team regular season win percentage, and then use regression analysis to predict the values of these metrics for individual players. Finally, relying upon predicted statistics, I assign salary values to free agents for their upcoming season on specific teams. My results advise teams to rely heavily on Player Impact Estimate (“PIE”) when predicting their teams’ win percentage, and to seek players whose appropriate salaries would be significantly more than their actual season–long salaries if the free agents were to sign.
Advisor: Kent Kimbrough, Peter Arcidiacon | JEL Codes: C30, Z2, Z22 | Tagged: Free Agents, Salaries, NBA
The Effect of Social, Cultural, and Political Values on Entrepreneurial Perceptions and Venture Creation: A Global Investigation
By Repton Salisbury
The effect of entrepreneurial activity on economic development has been researched thoroughly. New firm creation spurs economic growth by creating employment opportunities, cultivating innovation, and encouraging competition. Globally, there are countless areas that could benefit from a livelier entrepreneurial ecosystem. So how does a government or population first spur entrepreneurial activity? An entrepreneur’s perceptions are among the most powerful factors that impact the life or death of a new venture, but the determinants that influence how these perceptions first form are still largely unknown. Using survey data collected by the Global Entrepreneurship Monitor in 2010 across the United States, Japan, Switzerland, Israel, United Kingdom, Peru, Russia, Iran, and China, I conduct binary logistic regressions of individual level characteristics, social ideals, cultural norms, human development, and other environmental attributes on the most important perceptions of entrepreneurs. These perceptions have been identified by previous research as an entrepreneur’s perception of local opportunities, internal skills, and fear of failure in creating a new venture. I find that several social, cultural, and political values have a significant effect on the psychological behavior of nascent entrepreneurs.
Advisor: Alison Hagy, Grace Kim | JEL Codes: L2, L26, O17 | Tagged: Culture, Entrepreneurship, Perceptions, Venture Creation
The Pen or the Sword: Determining the Effects of Different Types of Coups D’état on Income Inequality
By Jie Wei Chia
Existing literature on the relationship between income inequality and coup d’états focus on how the former cause the latter. No research has yet been done on how coup d’états affect income inequality after their occurrence. This study uses cross–country panel data and fixed effects with instrumental variables models to examine the impact of successful armed coups, successful unarmed coups, failed armed coups and failed unarmed coups. I find that, on average, none of these coups have a significant impact on the Gini coefficient and the income share of the poorest quintile of a population relative to the richest quintile, save for successful armed coups when the sub–sample of data from 1991–2013 was used.
Advisor: Duncan Thomas, Timur Kuran | JEL Codes: D7, D74 | Tagged: Coups, Inequality, Political Economy