Athletic Success and Contributions to Universities' Athletic Departments /

The economic analysis of athletic success on contributions for university athletic departments is studied through panel regression, and panel vector auto regression, along with dynamics through directed acyclical graphs, impulse response functions, and forecast error variance decompositions. Previou...

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Bibliographic Details
Main Author: Reynolds, Kenneth (Author)
Other Authors: Mjelde, James W. (James William), 1956- (Thesis advisor)
Format: Thesis eBook
Language:English
Published: [College Station, Texas] : [Texas A & M University], [2015]
Subjects:
Online Access:Link to OAK Trust copy
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520 3 |a The economic analysis of athletic success on contributions for university athletic departments is studied through panel regression, and panel vector auto regression, along with dynamics through directed acyclical graphs, impulse response functions, and forecast error variance decompositions. Previous literature suggests a mixed picture throughout the literature in determining the effect college athletics have on contributions to universities athletic departments. The key question is what athletic variables drive contributions to the athletic department, and what their impact is. This thesis analyzes the effect of different independent variables on the dependent variables football, basketball, other sports winning percentages and contributions through various systems based on conference alignment. These 160 universities with eight years of data are tested first through panel regression to determine error terms for the dependent variables then using these error terms through Orthogonal Partitioned Regression and Frisch-Waugh Theorems. Once these theorems have been applied, panel vector auto regression is used to provide dynamics to the study and literature. The dynamic analysis of the results are evaluated by using directed acyclical graphs, impulse response functions, and forecast error variance decomposition provide visual evidence to support the hypothesis. The causal flows provided through the directed acyclical graphs demonstrate the impact athletics have on contributions though all systems. The impulse response functions also provide visual analysis though shocking a specific variable and determining the impact of the shock. The impulse response functions also support the hypothesis, that increasing athletic winning percentage provide a positive impact on contributions. Forecast error variance decompositions demonstrate what percentage of the system is determined from each variable. Economic analysis through panel regression and dynamic analysis support the hypothesis that successful athletic programs have a positive impact, and generate contributions. Further results indicate through all systems, football, basketball and other sports winning percentage cause contributions and conference alignment has a significant impact on contributions. This information is beneficial to athletic departments to aid in decision making in determining what drives contributions. The electronic version of this dissertation is accessible from http://hdl.handle.net/1969.1/155050 
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653 |a time series 
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