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.
The National Hockey League (NHL) is one of the four major sports in North America. Following the lockout of 2004-2005, the league felt it was necessary to introduce a team salary cap which prevents teams from spending a certain dollar amount on player salaries. As a young player enters free agency, general managers must negotiate an efficient contract which keeps the team under the salary cap in addition to paying the player the necessary money for his talent. The purpose of this study is to analyze NHL player's first and second year productiveness to find the true worth of these players as they enter free agency and long-term contracts. To accomplish this, results were found using Ordinary Least Squares (OLS) and Fixed Effects Models regression along with the collection of players' first and second year NHL season between 2005 and 2009. Furthermore, this thesis believes that NHL players increase productivity from their first to second year. If young NHL players do increase their production from season to season, it may prove beneficial to teams and general managers as they will be able to build a cost-efficient team due to contracts that are suitable to each player's ability.
The National Hockey League (NHL) has had troubles in the past with turning a profit. However, recently the NHL has improved revenues since the lockout season of 2004- 2005. Even though the league as a whole is doing better, about half the teams each year still have negative revenues. As many different sport studies have shown in the past, that winning teams are able to draw more fans, and thus, more revenue as well. The sole purpose of this study is to find out what helps a team win hockey games, which creates higher attendance, and ultimately, higher revenue. This study accomplishes this by using Ordinary Least Squares (OLS) and Generalized Method of Moments (GMM) regression along with data from the 2006-2009 seasons to discover the factors that contribute to a NHL team's success. One major finding of this study is that Major Penalties, or more specifically fighting, no longer has a significant impact on helping a team win. By discovering the factors that help a team win, each team can go after the optimal players that will contribute most to winning games.