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


Abi Adams-Prassl, Kotaro Hara, Kristy Milland, Chris Callison-Burch


The Review of Economics and Statistics 1–23.


This paper analyses gender differences in working patterns and wages on Amazon Mechanical Turk, a popular online labour 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 amongst workers with children.