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

Abi Adams, Kotaro Hara, Kristy Milland and Chris Callison-Burch
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Abi Adams: University of Oxford
Kotaro Hara: Singapore Management University
Kristy Milland: Turker-Nation
Chris Callison-Burch: University of Pennsylvania

The Review of Economics and Statistics, 2025, vol. 107, issue 1, 55-64

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.

Date: 2025
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