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Institutional Affiliation: Columbia University
Information about this author at RePEc
NBER Working Papers and Publications
|March 2018||Monopsony in Online Labor Markets|
with Arindrajit Dube, Suresh Naidu, Siddharth Suri: w24416
On-demand labor platforms make up a large part of the “gig economy.” We quantify the extent of monopsony power in one of the largest on-demand labor platforms, Amazon Mechanical Turk (MTurk), by measuring the elasticity of labor supply facing the requester (employer) using both observational and experimental variation in wages. We isolate plausibly exogenous variation in rewards using a double-machine-learning estimator applied to a large dataset of scraped MTurk tasks. We also re-analyze data from 5 MTurk experiments that randomized payments to obtain corresponding experimental estimates. Both approaches yield uniformly low labor supply elasticities, around 0.1, with little heterogeneity.