Dependence Relationships between On Field Performance, Wins, and Payroll in Major League Baseball
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Derek S Stimel
This article examines the dependence and direction of dependencies between on the field performance variables, winning percentage, and payroll in Major League Baseball using team data from 1985-2009. Particular focus is given to the relationship between winning and payroll. The method is to employ the PC algorithm, which is an implementation of graph theoretic methods in order to identify these dependence relationships. Results indicate that winning percentage directly depends on fielding percentage, on-base percentage, and saves while payroll directly depends on fielding percentage, strike outs against, and winning percentage. Using this results panel, models are estimated to assess the magnitudes of the relationships. Further, a system based on these relationships is estimated to examine the effects of winning and payroll on each other over time using impulse responses. Those responses show that payroll has a temporarily positive effect on winning but not permanently so. Finally, some cautions are offered in interpreting the results and some suggestions for future research.
©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
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Articles in the same Issue
- Conference Paper
- Uncovering Europe's Best Goalscorers from the 2009-2010 Season
- Dynamic Effort, Sustainability, Myopia, and 110% Effort
- The Intra-Match Home Advantage in Australian Rules Football
- The Relationship between Leader Experience and Team Performance in Cross-Sectional and Longitudinal Designs
- Stratified Odds Ratios for Evaluating NBA Players Based on their Plus/Minus Statistics
- Dependence Relationships between On Field Performance, Wins, and Payroll in Major League Baseball
- Optimal Dynamic Clustering Through Relegation and Promotion: How to Design a Competitive Sports League
- Perception ? Reality: Analyzing Specific Allegations of NBA Referee Bias
- NFL Prediction using Committees of Artificial Neural Networks
- An Alternative to the NFL Draft Pick Value Chart Based upon Player Performance
- Monte Carlo Simulation for High School Football Playoff Seed Projection
- Defining the Performance Coefficient in Golf: A Case Study at the 2009 Masters
- Reconsideration of the Best Batting Order in Baseball: Is the Order to Maximize the Expected Number of Runs Really the Best?
- Never Too Late to Win
- An Extension of the Pythagorean Expectation for Association Football
- Pitcher Accuracy Through Catcher Spotting: Assessing Rater Reliability
- Valuing Nostalgia: The Case of the Topps 1957 Baseball Cards
