Cognitive Performance in Remote Work: Evidence from Professional Chess

• 成果类型: Article
• 署名作者: Kunn, Steffen; Seel, Christian; Zegners, Dainis
• 署名单位: Maastricht University; Erasmus University Rotterdam; Erasmus University Rotterdam - Excl Erasmus MC
• 刊物名称: ECONOMIC JOURNAL
• ISSN/ISSBN: 0013-0133
• DOI: 10.1093/ej/ueab094
• 发表日期: 2022
• 页码: 1218-1232
• 关键词: management-practices; FIRMS; PRODUCTIVITY; inference; IMPACT; skill

摘要

During the COVID-19 pandemic, traditional (offline) chess tournaments were prohibited and instead held online. We exploit this unique setting to assess the impact of remote work policies on the cognitive performance of individuals. Using the artificial intelligence embodied in a powerful chess engine to assess the quality of chess moves and associated errors, we find a statistically and economically significant decrease in performance when an individual competes remotely versus offline in a face-to-face setting. The effect size decreases over time, suggesting an adaptation to the new remote setting.