Publication Type

Journal Article

Version

acceptedVersion

Publication Date

2-2023

Abstract

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.

Discipline

Labor Economics | Software Engineering

Research Areas

Software and Cyber-Physical Systems

Publication

Review of Economics and Statistics

First Page

1

Last Page

23

ISSN

0034-6535

Identifier

10.1162/rest_a_01282

Publisher

Massachusetts Institute of Technology Press (MIT Press): 12 month embargo

Copyright Owner and License

Authors

Additional URL

https://doi.org/10.1162/rest_a_01282

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