Previous research has effectively shown how in connection with race, and free-agency, performance statistics have affected the value of the baseball card market. However, examination has not been done on how a player's performance directly relates to their popularity and card value. This study attempts to determine which performance statistics for pitchers and batters significantly affect their rookie card value in the card trading market. The abundance of statistical data from the MLB allows an evaluation through regression based analysis to determine what attributes from Hall of Fame players are determinants. The implications from this research used correctly can aid collectors in determining which cards to invest in.
Major League Baseball (MLB) teams are often criticized for overspending on amateur draft picks. Sports business professionals and the casual baseball fan argue that awarding unproven amateur baseball players millions dollar signing bonuses is not a sound investment. However, previous studies in sports economics have found that teams are willing to sign better players to higher salaries or signing bonuses in order to increase their production or team wins. Similar to the labor market, baseball teams will attempt to create a product (team wins) by employing signing inputs (players who provide skills and services). This paper attempts to quantify or place monetary values on a single total value baseball statistic, Wins Above Replacement (WAR), to determine the Market Value of a baseball player’s production. WAR represents the additional amount of wins a player contributes to his team over a season. This paper then tests the overall performance and investment of baseball draftees from the 1996 through the 2000 Rule IV Draft. Results of this study reveal that professional baseball teams on average receive a very positive return on their investment in amateur drafts picks.
This thesis is designed to explain the number of left-handed pitchers in Major League Baseball (MLB). The main focus behind this study is to determine the optimal number of left-handed pitchers a MLB team should employ to maximize success. The MLB has far more left-handed players on average compared to left-handed people in society so that leads us to ask why. The hypothesis of this thesis is Major League Baseball teams should employ between 18% and 30.1% left-handed pitchers to maximize their success. I am measuring success by the team’s regular season number of earned runs against and the team’s winning percentage. This study will take all 30 MLB teams in to account and look over a time period of the last 20 years. There will be two separate regressions in this thesis, one to see the affect left-handed pitchers have on earned runs against and one to evaluate left-handed pitchers effect on winning percentage. I will also use independent variables such as strikeouts, walks, homeruns against, yearlong payroll, attendance, pitchers average age and many others to see what makes the largest difference on a team’s success.