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The 2015 Ncaa Cost-Of-Attendance Stipend And Its Effects On Institutional Financial Aid Packages, Sara Greene Apr 2023

The 2015 Ncaa Cost-Of-Attendance Stipend And Its Effects On Institutional Financial Aid Packages, Sara Greene

Honors Theses

In 2015, the National Collegiate Athletic Association (NCAA) allowed “Cost of Attendance” (COA) stipends to be offered to athletic recruits for Division I schools. These stipends are intended to allow schools to grant aid to student-athletes beyond a full-ride scholarship to cover additional costs imposed on student-athletes. These stipends created an opportunity for the “Autonomy” Power 5 programs to utilize a competitive tactic to try to win over the top recruits. There is evidence that these COA stipends have caused an increase in the estimated cost of attendance reported by the university. This paper examines if the COA stipends have …


Evaluating Short Term Effects Of Opportunity Zone Designation, Sarah M. Bennett May 2022

Evaluating Short Term Effects Of Opportunity Zone Designation, Sarah M. Bennett

All Graduate Plan B and other Reports, Spring 1920 to Spring 2023

The Tax Cuts and Jobs Act of 2017 included a substantial economic development effort known as Opportunity Zones. These Zones cover 12% of the census tracts in the United States and are estimated to cost $1.6 billion in lost capital gains tax revenue. Our paper seeks to find whether this program has had an impact four years after going into effect, using an econometric analysis on changes in housing prices.


Dimensional Analysis And Logarithmic Transformations In Applied Econometrics, Deepankar Basu Jan 2022

Dimensional Analysis And Logarithmic Transformations In Applied Econometrics, Deepankar Basu

Economics Department Working Paper Series

In economics, it is common to use dimensioned variables, e.g. earn- ings (measured in dollars per year), as arguments in the logarithmic function. This is conceptually problematic because a logarithmic func- tion can only take dimensionless quantities as its argument. One way to avoid this conceptual error is to rewrite commonly used logarithmic regressions using an arbitrarily chosen reference unit so that ratios of dimensioned quantities are used in logarithmic functions. With the addition of a zero conditional mean assumption about the reference unit to the standard list of assumptions about asymptotic properties of ordinary least squares estimators, such a …


An Evaluation Of Knot Placement Strategies For Spline Regression, William Klein Jan 2021

An Evaluation Of Knot Placement Strategies For Spline Regression, William Klein

CMC Senior Theses

Regression splines have an established value for producing quality fit at a relatively low-degree polynomial. This paper explores the implications of adopting new methods for knot selection in tandem with established methodology from the current literature. Structural features of generated datasets, as well as residuals collected from sequential iterative models are used to augment the equidistant knot selection process. From analyzing a simulated dataset and an application onto the Racial Animus dataset, I find that a B-spline basis paired with equally-spaced knots remains the best choice when data are evenly distributed, even when structural features of a dataset are known …


How Did Medicaid Expansion Affect The Provider Labor Market?, Aaron Wu Jun 2020

How Did Medicaid Expansion Affect The Provider Labor Market?, Aaron Wu

Honors Theses

One provision of the Affordable Care Act was to expand Medicaid eligibility for a greater number of low-income patients. The resulting increase in demand for care was largely explored, but the effect of the 2014 Medicaid expansion on the physician and advanced practitioner labor market has not been well researched by economists. Using pooled cross-sectional data from the 2010 – 2018 American Community Surveys, this paper examines whether the Medicaid expansion has caused notable changes in physician, physician assistant, and nurse practitioner hours, compensation, and overall employment. The literature shows that practices that employ nurse practitioners are far more likely …


Does Racial Discrimination Exist In The Nba?, Logan Kendall Jan 2020

Does Racial Discrimination Exist In The Nba?, Logan Kendall

Williams Honors College, Honors Research Projects

This paper aims to examines the affect of race on compensation for NBA players. Based on prior research, I pose the hypothesis that racial discrimination does exist in the NBA with there being a premium for white players. A second hypothesis I present based on the previous research is that the premium for white players exist for only some groups of players and for other groups there with not exist discrimination based on player race. By using career data from every player who played in the 2019-2020 NBA season and their 2019-2020 salaries, a few different models where ran. The …


The Effects Of An Increasing Federal Minimum Wage On Federal Unemployment And Job Automation Levels, Kiana Krayeski Jan 2018

The Effects Of An Increasing Federal Minimum Wage On Federal Unemployment And Job Automation Levels, Kiana Krayeski

Honors Undergraduate Theses

The industrial revolution was the start of increasing technological advancements that are continuing to grow today. Technology improves accuracy, efficiency and is more productive in comparison to human labor as it does not require breaks and cannot violate any labor laws. With many innovations available today, firms have more options to choose from and can select the relatively cheaper solution. The push for a fifteen-dollar minimum wage affects the firm's options, and the use of technology might increasingly become the more viable choice. This study took data from the years 1993 to 2016 and created two regressions using the unemployment …


Jump Regressions, Jia Li, Viktor Todorov, George Tauchen Jan 2017

Jump Regressions, Jia Li, Viktor Todorov, George Tauchen

Research Collection School Of Economics

We develop econometric tools for studying jump dependence of two processes from high-frequency observations on a fixed time interval. In this context, only segments of data around a few outlying observations are informative for the inference. We derive an asymptotically valid test for stability of a linear jump relation over regions of the jump size domain. The test has power against general forms of nonlinearity in the jump dependence as well as temporal instabilities. We further propose an efficient estimator for the linear jump regression model that is formed by optimally weighting the detected jumps with weights based on the …


Forecasting Short-Term Stock Returns Using Irregular Pricing Behavior In The Options Market, Thomas W. Sampson Apr 2014

Forecasting Short-Term Stock Returns Using Irregular Pricing Behavior In The Options Market, Thomas W. Sampson

Master's Theses

This paper uses regression analysis to examine the relationship between today's implied volatility on AMD stock options with tomorrow's return on the underlying. An economic analyis of the options markets' micro-structure is discussed to establish the intuition and the basis behind the relationship. Four seperate models are developed to examine its statistical significance and the ability of options' prices to accurately forecast returns on the underlying security.

The hypothesis of the paper is that daily changes in implied volatility can be used to earn higher than expected returns on the underlying stock. I find that implied volatility can be used …


X-Differencing And Dynamic Panel Model Estimation, Chirok Han, Peter C. B. Phillips, Donggyu Sul Feb 2014

X-Differencing And Dynamic Panel Model Estimation, Chirok Han, Peter C. B. Phillips, Donggyu Sul

Research Collection School Of Economics

This paper introduces a new estimation method for dynamic panel models with fixed effects and AR(p) idiosyncratic errors. The proposed estimator uses a novel form of systematic differencing, called X-differencing, that eliminates fixed effects and retains information and signal strength in cases where there is a root at or near unity. The resulting "panel fully aggregated" estimator (PFAE) is obtained by pooled least squares on the system of X-differenced equations. The method is simple to implement, consistent for all parameter values, including unit root cases, and has strong asymptotic and finite sample performance characteristics that dominate other procedures, such as …


Application Of Sgt Family Distributions In Quasi Maximum Likelihood Estimation, Samuel Dodini Oct 2013

Application Of Sgt Family Distributions In Quasi Maximum Likelihood Estimation, Samuel Dodini

Undergraduate Economic Review

In the classical normal linear regression model, ordinary least squares estimators (OLS) will be consistent and achieve the Cramer-Rao lower bound for any unbiased estimators. This paper examines the impact of several other error distributions on the properties of the OLS estimators. Several different types of example data commonly available to students and researchers in economics are used to illustrate the impact of nonnormality, because, in application, the assumption of normality may not hold in empirical testing. Using maximum likelihood, I demonstrate that flexible probability density functions better model the residual distribution of different types of data, which suggests improvements …


Economic Transition And Growth, Peter C. B. Phillips, Donggyu Sul Nov 2009

Economic Transition And Growth, Peter C. B. Phillips, Donggyu Sul

Research Collection School Of Economics

Some extensions of neoclassical growth models are discussed that allow for cross-section heterogeneity among economies and evolution in rates of technological progress over time. The models offer a spectrum of transitional behavior among economies that includes convergence to a common steady-state path as well as various forms of transitional divergence and convergence. Mechanisms for modeling such transitions, measuring them econometrically, assessing group behavior and selecting subgroups are developed in the paper. Some econometric issues with the commonly used augmented Solow regressions are pointed out, including problems of endogeneity and omitted variable bias which arise under conditions of transitional heterogeneity. Alternative …