Traditionally, defensemen in the National Hockey League (NHL) have been paid unevenly. Statistics measuring offense were applied to defensemen as well. This (along with other factors) resulted in a disparity in salaries between defensemen specializing in offense and defense. In recent years - especially since the lockout and cancellation of the 2004-05 season - defensemen specializing in defensive play became better recognized and paid. However, the salary disparity between offensive and defensive defensemen still exists. The purpose of this study was to analyze this salary disparity by cross-referencing the production (measured more comprehensively than past studies) of defensemen with their salaries. The defensemen were pooled together and designated either "offensive" or "defensive." Data was collected from all defensemen who participated in the 2007-08 NHL season, paired with their ensuing salaries for the 2008-09 season. In total 209 defensemen were studied, 103 offensive and 106 defensive. I anticipated that due to a rise in the recognition of the importance of defensive defensemen, the offensive-defensive salary disparity would not be dramatic. This thesis uses fourteen total independent variables relating to the dependent variable, salary. Three regression models were performed on the 209 defensemen. The regression results showed that there were six significant variables. Age, blocked shots, points-per-game, and shots were found to have a positive impact on salaries. Games played and plus/minus were discovered to negatively affect salaries. The results also show that offensive defensemen are paid almost double the salary of defensive defensemen.
Traditionally, defensemen in the National Hockey League (NHL) have been paid unevenly. Statistics measuring production for an NHL defensemen were applied to help determine a salary. Since the lockout of the 2004-05 season in the NHL, the importance of determining salaries for defensemen became important because of the introduction of the salary cap. The purpose of this study was to analyze this salary disparity by cross-referencing career numbers of 235 NHL defensemen with their salaries, using both an Ordinary Least Squares regression and a Quantile regression to estimate earnings. Data was collected from the 2009-10 season, with salaries taken from 2010-11 season. The regression results showed that 14 independent variables were found to be significant in different quantiles and in the OLS regression. The estimation results suggest that the conditional expectation model used in previous studies misses some of the subtleties of the earnings determination process in the NHL.
This thesis has the purpose of improving upon the study of behavior and its impact on the payment of NFL players. Previous studies have laid the groundwork for investigating this topic and this paper continues to delve into the subject. An Ordinary Least Squares (OLS) was used to analyze the data concerning salary determinants with a focus on illicit behavior. The adjusted models were met with mixed results and suggest that behavior may only have a mild impact on salary, if at all.
Rising tuition in the United States is causing parents to become increasingly concerned with where their children should attend college. A liberal arts education is considered by many to be one of the best undergraduate educations money can buy. However, much scrutiny has arisen concerning whether more selective liberal arts college graduates receive higher future annual salaries when compared to less selective undergraduate college and university graduates. I hypothesize that liberal arts graduates will receive greater future annual salaries than non-liberal arts private and public college and university graduates. To test my hypothesis, I use data from the 2003 Baccalaureate and Beyond Longitudinal Study, which is a third follow-up of a national sample of students who completed their bachelor degrees at the end of the 1992-1993 academic year.
This study was inspired by the ongoing discussions of the involvement of racism in the NBA. The goal of this study is to determine the presence of racism in the NBA through a careful study of player and coaches wages based on their productivity. Previous studies from the 80's as well as 90's have shown that there have been incredible wage gaps between white and black players in the NBA (those wages being in favor of the white players). Using a study of 276 players and 30 coaches from the 2009-10 season, salaries will be put into a regression model while holding player and coach productivity constant. Player and coach salaries will be the dependent variable along with eleven independent variables in the player regression model and 6 independent variables in the coaches' regression model. The results showed that there is a small difference in wages between white and non-white players but not enough to make valid claims of wage discrimination. For coaches, the regression results shows that race does not have a significant effect on salaries but there is still a noticeable salary gap between white and non-white coaches, in favor of white coaches.
In this thesis I will be testing to see what the determinants for a National Hockey League forwards salary/contract size. I will be using a number of independent variables that I feel best describes a National Hockey League forwards salary size. The Main part to this thesis is to try and find out if being born in the first ninety days of the year will give you a better chance at being more successful, by making more money in the NHL. The Null Hypothesis in this study is that Birth Date will have a positive effect on the NHL forwards salaries. The way to achieve these results I will be running regressions with 13 independent variables. After the regression is ran I will hope to see a positive correlation with birth date and size of salary. With all of the independent variables I will also hope to find which one of the variables will have the highest positive correlation.
The value of education is paramount in the life of every human being. This thesis will test how, and to what degree, institutional prestige can affect starting and mid-career salary for college graduates. This thesis will also test the significance of four other variables - the average acceptance SAT score, the school acceptance rate, the percentage of classes with fewer than 20 students, and the tuition level. It was found that prestige as a dummy variable is statistically significant only when considered alone. When all variables are tested simultaneously, SAT scores and school acceptance rates are far more important factors determining future salary. This research will serve the greater purpose of educating prospective college students on the importance of their decision and on which college reputation contributing factors are the most important in regards to future salary potential.
Report issued from brief survey conducted by Staff Council in March 2009 to solicit staff opinions, concerns, and understandings. A set of thirteen questions were asked, focusing on staff employment at Colorado College.
Questions and responses from survey conducted by Staff Council in March 2009 to solicit staff opinions, concerns, and understandings. A set of thirteen questions were asked, focusing on staff employment at Colorado College.