Productivity outcomes in online labor markets and within-task complexity and difficultly

Evaggelos Mourelatos, Nicholas Giannakopoulos () and Manolis Tzagarakis

No 739, GLO Discussion Paper Series from Global Labor Organization (GLO)

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.

Keywords: Productivity; Online Labor markets; Task Difficulty and Complexity (search for similar items in EconPapers)
JEL-codes: D90 J24 (search for similar items in EconPapers)
Date: 2020
New Economics Papers: this item is included in nep-eff, nep-ore and nep-tid
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:zbw:glodps:739

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