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Effect Of Player And Team Characteristics’ Effects On Players’ Salaries: A Study Of Statistical Methods

Author

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  • Zhen-Jia-Liu

    (Tan Kah Kee college, Xiamen University, China)

Abstract

This study investigated factors that influence the remuneration of professional baseball players in Asian (Japan, Korea, and Taiwan) and US professional baseball leagues. The empirical results obtained by investigating 5289 baseball players as the study sample revealed that the support vector machine model was the most accurate in the Japanese and Korean leagues for predicting players’ annual total remuneration, whereas the SVM model and the logit model were the most accurate in the Chinese (Taiwan) and US leagues, respectively.

Suggested Citation

  • Zhen-Jia-Liu, 2020. "Effect Of Player And Team Characteristics’ Effects On Players’ Salaries: A Study Of Statistical Methods," Economics and Management, Faculty of Economics, SOUTH-WEST UNIVERSITY "NEOFIT RILSKI", BLAGOEVGRAD, vol. 17(2), pages 26-39.
    • Handle: RePEc:neo:journl:v:17:y:2020:i:2:p:26-39
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    More about this item

    Keywords

    baseball; salaries; players; logistic model; Support vector machines; Rough set theory;
    All these keywords.

    JEL classification:

    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General

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