000			01220nam a22001577a 4500
999			_c514430 _d514430
008			201102b ||||| |||| 00| 0 eng d
100			_aDube, Arindrajit, et al _920743
245			_aMonophony in online labor markets
260			_a The American Economic Review Insights
300			_a2(1), Mar, 2020: p.33-46
520			_aDespite the seemingly low switching and search costs of on-demand labor markets like Amazon Mechanical Turk, we find substantial monopsony power, as measured by the elasticity of labor supply facing the requester (employer). We isolate plausibly exogenous variation in rewards using a double machine learning estimator applied to a large dataset of scraped MTurk tasks. We also reanalyze data from five MTurk experiments that randomized payments to obtain corresponding experimental estimates. Both approaches yield uniformly low labor supply elasticities, around 0.1, with little heterogeneity. Our results suggest monopsony might also be present even in putatively "thick" labor markets.- Reproduced
650			_aInternational Trade Organizations, Health Behavior _920744
773			_aThe American Economic Review Insights
906			_aTRADE POLICY - UNITED STATES
942			_cAR