歧视和主观玩家评级:来自中国的证据

IF 3.1 3区 经济学 Q1 ECONOMICS
Shuoyu Chen , Clay Collins , Ivy Collins
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引用次数: 0

摘要

本文提供了一个实证检验球迷如何感知和评价运动员的表现。本文以2022-23赛季的NBA比赛为例,使用了来自中国应用程序虎扑的独特数据集,该数据集允许用户对每场比赛的球员表现进行评分。我们建立模型,控制玩家的特征和表现,如果评级对游戏结果或玩家的种族特征做出反应。我们使用肤色分类算法(CASCo)来衡量肤色对玩家评分的影响。我们发现,在控制表现的情况下,赢(输)队的球员被评价为更积极(消极),而沮丧造成的影响大致对称。与此同时,深色皮肤的玩家比浅色皮肤的玩家获得更积极的评价。通过各种稳健性检查,这种效果似乎是一致的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Discrimination and subjective player ratings: Evidence from China
This paper provides an empirical examination of how fans perceive and evaluate athlete performances. Using NBA games during the 2022–23 season, this paper employs a unique dataset from the Chinese app Hupu, which allows users to grade the performances of players for each game. We model, controlling for player characteristics and performance, if ratings respond to game outcomes or a player’s racial characteristics. We use the Classification Algorithm for Skin Color (CASCo) to measure the effect of skin tone on player ratings. We find that controlling for performance, players on winning (losing) teams are rated more positively (negatively), with roughly symmetric effects caused by upsets. Consistently, players with darker skin tones are rated more positively than lighter skin players. The effect appears consistent through a variety of robustness checks.
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来源期刊
CiteScore
6.00
自引率
2.90%
发文量
118
期刊介绍: The Quarterly Review of Economics and Finance (QREF) attracts and publishes high quality manuscripts that cover topics in the areas of economics, financial economics and finance. The subject matter may be theoretical, empirical or policy related. Emphasis is placed on quality, originality, clear arguments, persuasive evidence, intelligent analysis and clear writing. At least one Special Issue is published per year. These issues have guest editors, are devoted to a single theme and the papers have well known authors. In addition we pride ourselves in being able to provide three to four article "Focus" sections in most of our issues.
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