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Determinant factors of Korean professional baseball hitter salaries
Journal of the Korean Data & Information Science Society 2019;30:1375-84
Published online November 30, 2019;
© 2019 Korean Data and Information Science Society.

Jangtaek Lee1

1Department of Applied Statistics, Dankook University
Correspondence to: Professor, Department of Applied Statistics, Dankook University, Gyeonggi-do 448-701, Korea. E-mail:
Received July 29, 2019; Revised August 21, 2019; Accepted August 22, 2019.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
The purpose of this study is to examine some records attributed to Korean professional baseball hitters on annual salary using regression models. Hitter salaries are typically the largest cost for Korean professional baseball teams. Players often get high salary due to high level performance. By this reason, we investigate the fact that whether hitters are paid based on their the batting performance. The data includes a sample of Korean professional baseball hitters between 2000 to 2015 for salary and player statistics. Regression models of log salary against various combinations of independent variables were examined. In conclusion, it was found that H, BB, RBI, experience, team indicators, age squared, WARS, FA and year were statistically significant for log salary. The model presented here can be useful to reach an agreement on salary differences in Korean professional baseball.
Keywords : Hitter salary, Korean professional baseball, performance, regression model, WARS.