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http://dx.doi.org/10.7465/jkdi.2017.28.2.317

Analysis of factors affecting Korean professional baseball pitcher salaries  

Lee, Jang Taek (Department of Applied Statistics, Dankook University)
Publication Information
Journal of the Korean Data and Information Science Society / v.28, no.2, 2017 , pp. 317-326 More about this Journal
Abstract
In this paper, we investigate the effects of performance and non-performance variables attributed to Korean professional baseball pitchers on annual salary by the records about pitchers between 2010 and 2016. We select the variables in reference to previous research related to this topic. The models are then estimated using linear regression model. For pitchers, age, experience in the league, year, eligibility for free agency, the number of wins, WAR, the number of innings pitched, the number of games, the number of saves, the number of games started, and type of baseball team have a statistically significant effect. Among the notable factors, affecting pitchers salaries are largely measure of starting pitchers. Pitcher sabermetrics indexes were poorly reflected on annual salary. The model presented here can be used to remove any unobjective salary differences for Korean professional baseball pitchers.
Keywords
Korean professional baseball; pitcher salary; regression model; salary difference; starting pitcher;
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Times Cited By KSCI : 5  (Citation Analysis)
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