By Kelly Froelich
The importance of the left tackle position in comparison to the other offensive line positions in the National Football League (NFL) has been widely debated amongst sports commentators, as the left tackle is traditionally the second highest paid player on a football team behind the quarterback; yet, this debate lacks empirical findings. This paper aims to quantify the impact of the individual offensive linemen on the chance of winning a game on a game‐by‐game basis and then compare the impact of the left tackle to the other offensive line positions. Using a conditional logistic regression and the marginal effects from that regression, the results do not dispute the NFL’s current trend in spending more on the left tackle in comparison to the other offensive line positions. The results show that optimal spending for the left tackle could extend to 15.976 percent of the salary cap. Thus, the possibility remains that the optimal spending for the left tackle can range up to fifteen percent of the
salary cap, seven percentage points above the next highest optimal offensive lineman spending.
Advisor: Peter Arcidiacon | JEL Codes: J3, J31, J44 | Tagged:
By Rajlakshmi De
Policies surrounding government expenditures and revenues are often concerned with the size of the national public debt and whether it is sustainable or unsustainable by employing the multi-cointegration framework and assertion corresponding criteria for sustainability. Denmark, Norway, Finland, Canada, Sweden, Portugal, and Austria are found to exhibit sustainable fiscal policies during the paper’s sample period, whereas the policies of the United States, Italy, France, Netherlands, United Kingdom, Spain, and Japan are determined to be unsustainable.
Advisor: Kent Kimbrough, Lori Leachman | JEL Codes: E6, E61, E62, E66 | Tagged:
By Trent Chiang
In this paper I relate the numbers of university licenses and options to both university research characteristics and research expenditures from federal government or industrial sources. I apply the polynomial distributed lag model for unbalanced panel data to understand the effects of research expenditures from different sources on licensing activity. We find evidence suggesting both federal and industrial funded research expenditures take 2-3 years from lab to licenses while federal expenditures have higher long-term dynamic effect. Break down licenses by different types of partners, we found that federal expenditures have highest effect with small companies and licenses generating high income. Further research is necessary to analyze the reason for such difference.
Advisor: David Ridley, Henry Grabowski | JEL Codes: I23, L31, O31, O32, O38 | Tagged: I
The Role of Income in Environmental Justice: A National Analysis of Race, Housing Markets, and Air Pollution
By Christopher Brown
Historically, evidence has shown that minority populations in the United States suffer a disproportionate burden of pollution compared to whites. This study examines whether this burden could be the result of income disparities between whites and minorities, acting through the housing market. We look at 324 Metropolitan Statistical Areas (MSA’s) in the United States as defined by the Economic and Social Research Institute. Using demographic data from the 2000 Decennial Census and pollution data from the 1999 national Air Toxic Assessments, we compare the race-income correlation in each MSA for four races (white, black, Latino, and Asian) with the race-income.
JEL Codes: Q53, Q56 | Tagged:
By Sofia Becerra
Tax evasion throughout the world is widely endured, but not widely understood. The decision making process of the taxpayer may include many concerns outside of the monetary payoffs. The tax compliance decision considers social norms and social sanctions in addition to deterrence levels. The goal of this paper is to illuminate some of the social norms and factors that affect tax morale, since tax morale in turn drives part of compliance. An empirical study comparing tax morale in 18 Latin American countries finds that, social factors like perception of evasion by peers, as well as government trust and approval, are significant determinants of tax morale. Moreover, culture also plays a role. However, its role is not nearly as large as believed, and cannot be explained much of the variance across countries. Compliance is partly explained by tax moral, which is partly explained by culture. Tax morale will drive higher compliance all else equal, but compliance is also a function of deterrence, and both factors work in a feedback loop. Social norms and culture develop through assimilation of deterrence mechanism over time and so, culture need not be deterministic since it mutable.
Advisor: Michelle Connolly | JEL Codes: H2, H26, H31 | Tagged:
By John Reid
This paper examines the impact of various macroeconomics and real estate specific surprises on M&A transactions involving Real Estate Investment Trust. The 2008 financial crisis drastically affected merger & acquisitions activity, especially within the real estate market. The number of M&A transactions involving Real Estate Investment Trusts were very volatile during this period of economic turmoil and it appeared that several economic factors contributed to changing patterns in M&A activity. Our study uses time series data to draw a connection between REIT-related M&A activity and quantifiable factors. From or results we find there to be a relationship between the macroeconomic environment and REIT-related M&A activity.
JEL Codes: G10, G14, G34 | Tagged:
By Andrew Bentley
Conventional measurements of equity return volatility rely on the asset’s previous day closing price to infer the current level of volatility and fail to incorporate information concerning intraday influntuctuations. Realized measures of volatility, such as the realized variance, are able to integrate intraday information by utilizing high-frequency data to form a very accurate measure of the asset’s return volatility. These measures can be used in parallel with the traditional definition of the Capital Asset Pricing Model (CAPM) beta to better predict the time-varying systematic risk of an asset. In this analysis, realized measures were added to the General Autoregressive Conditional Heteroskedastic (GARCH) framework to form a predictive model of beta that can quickly respond to rapid changes in the level of volatility. The ndings suggest that this predictive beta is better able to explain the stylized characteristics of beta and is a more accurate forecast of the realized beta than the GARCH model or the benchmark Autoregressive Moving-Average (ARMA) model used as a comparison.
JEL Codes: C0, C3, C03, C32, C53, C58 | Tagged:
Evaluating the Motivation and Feasibility Theory in Predicting the Onset and Severity of Civil Conflict
By Ishita Chordia
This paper looks at 187 countries from 1960-2004 and explores the economic indicators of the onset and the severity of civil conflicts, where civil conflicts are described as small clashes that result in 25 or more battle deaths per conflict. For conflict onset, I test a model that uses the Motivation Theory to predict when a conflict will begin while for conflict severity. I test a model that uses the Feasibility Theory to predict how severe a conflict will become. In the final section, I reverse the models and test the ability of the Motivation Theory to predict conflict severity and the ability of the Feasibility Theory to predict conflict onset. I find that the Motivation Theory performs ber at predicting both conflict onset and severity.
JEL Codes: F51, F52, O57 | Tagged: