The Gender Wage Gap in an Online Labor Market: The Cost of Interruptions

• 成果类型: Article
• 署名作者: Adams, Abi; Hara, Kotaro; Milland, Kristy; Callison-Burch, Chris
• 署名单位: University of Oxford; Singapore Management University; University of Pennsylvania
• 刊物名称: REVIEW OF ECONOMICS AND STATISTICS
• ISSN/ISSBN: 0034-6535
• DOI: 10.1162/rest_a_01282
• 发表日期: 2025-01
• 页码: 55-64
• 关键词: time

摘要

This paper analyzes gender differences in working patterns and wages on Amazon Mechanical Turk, a popular online labor platform. Using information on 2 million tasks, we find no gender differences in task selection nor experience. Nonetheless, women earn 20% less per hour on average. Gender differences in working patterns are a significant driver of this wage gap. Women are more likely to interrupt their working time on the platform with consequences for their task completion speed. A followup survey shows that the gender differences in working patterns and hourly wages are concentrated among workers with children.