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Abstract 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 follow-up survey shows that the gender differences in working patterns and hourly wages are concentrated among workers with children.
Adams‐Prassl et al. (2023) studied this question.