Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/227563 
Year of Publication: 
2020
Series/Report no.: 
GLO Discussion Paper No. 739
Publisher: 
Global Labor Organization (GLO), Essen
Abstract: 
We analyze the impact of within-task difficulty and complexity on workers' productivity in online labor markets. Using a randomized control quasi-experiment in AMT we are able to define the difficulty and complexity embodied in requested sub-tasks within a problem-solved task. We find that our productivity measures are negatively related to the difficulty and complexity of a specific sub-task. This finding is robust to several sources of workers' heterogeneity and to different pay schemes.
Subjects: 
Productivity
Online Labor markets
Task Difficulty and Complexity
JEL: 
J24
D90
Document Type: 
Working Paper

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