Event Title
An Economic Evaluation of Moneyball
Faculty Sponsor
Jeff Summers
Location
Jereld R. Nicholson Library
Date
5-11-2012 3:00 PM
End Date
5-11-2012 4:30 PM
Subject Area
Economics (general)
Description
This research paper examines the question of which statistical category in Major League Baseball contributes the most to a team’s winning percentage and how they may differ from the American League to the National League. The equations and models used in this study are a combination of information gathered from our literature review and our own model. Our first paper, “An Economic Evaluation of Smartball Generated from Moneyball,” had a goal of seeing which regression model between Moneyball, Hakes and Sauer’s, and our own model (Smartball) was more statistically significant to determine a team’s winning percentage. In this paper we test the explanatory changes between the American League to the National League. After examining this study, Major League teams will know which statistical category to maximize if they want to achieve the highest winning percentage possible and will be able to understand how the two leagues differ.
Recommended Citation
Erwin, Jason C. and Cooper, Clayton, "An Economic Evaluation of Moneyball" (2012). Science and Social Sciences. Event. Submission 12.
https://digitalcommons.linfield.edu/studsymp_sci/2012/all/12
An Economic Evaluation of Moneyball
Jereld R. Nicholson Library
This research paper examines the question of which statistical category in Major League Baseball contributes the most to a team’s winning percentage and how they may differ from the American League to the National League. The equations and models used in this study are a combination of information gathered from our literature review and our own model. Our first paper, “An Economic Evaluation of Smartball Generated from Moneyball,” had a goal of seeing which regression model between Moneyball, Hakes and Sauer’s, and our own model (Smartball) was more statistically significant to determine a team’s winning percentage. In this paper we test the explanatory changes between the American League to the National League. After examining this study, Major League teams will know which statistical category to maximize if they want to achieve the highest winning percentage possible and will be able to understand how the two leagues differ.