There have been many debates and studies on how to efficiently compensate players and build winning teams in professional sports. The National Hockey League instituted a salary cap following the 2003-2004 season that changed the way general managers could pay players both individually and as a team. The study uses player data from the 2009-2010 season and team data from the 2007-2008 season to the 2013-2014 season. The study found that the largest determinants of forwards’ salaries are points per game and average time on ice. The largest salary determinants for defensemen are points per game, average time on ice, and fights per season. The Gini coefficient did not turn out to be a significant predictor of team winning percentage, while power play and penalty kill percentage did.
The investment in a college education and the corresponding increase in wage rate is a fundamental component of the human capital theory. For golfers in the United States, the main pipeline to the PGA Tour runs through a traditional college education. Many golfers choose to cut this education short and begin their professional careers before earning a degree. This study examines the potential economic implications a professional golfer faces from this decision. The results show that each additional year of college a golfer chooses to take causes a slight increase in career earnings. However, golfers who do choose to leave college early as underclassmen also see an increase in career earnings. These apparently contradictory results are justified because individuals recognize their own heterogeneous abilities and make an informed decision when choosing whether or not to leave college early.
In this study, I ran tests to determine whether or not a player’s path to the NHL has a statistically significant impact on their salary. I did this because I wanted to test to see if there is a bias on a player’s NHL salary depending on where they played before entering the league. I tested this by devising a model using ordinary least squares (OLS) regression using a data set that I created from statistics compiled from multiple NHL databases. I found that a player’s path to the NHL was not statistically significant when determining a player’s salary and therefore failed to reject the null hypothesis.
During the current financial crisis there is a large amount of scrutiny surrounding executive compensation packages. The purpose of this thesis is finding an understanding of executive compensation based around the makeup of the board of directors. We examine firms from the S&P 100 investigating the relationship between CEO compensation and the makeup of the board of directors. For this end, we examine different pieces of CEO compensation packages: salary, options awards and stock awards, in relation to salary and as standalone pieces. We use OLS regressions to see if the make-up of the board demonstrates a significant relationship with CEO compensation. The purpose of this examination is to determine what effect, if any, the makeup of the board of directors has on deciding executive compensation.
Rookie and Restricted NHL salaries can be determined by many factors. Studies before this have mainly focused on Draft position and NHL statistics as determining factors for salary in the NHL. I will be using these determining statistics along with past amateur statistics, amateur league played in, and country from to cross-referenced 102 NHL rookies through 4 different OLS regressions, analyzing how these factors determine the value of the rookie and restricted contracts, draft position, and production statistics in the NHL.