Monopsony in Online Labor Markets

被引:101
作者
Dube, Arindrajit [1 ]
Jacobs, Jeff [2 ]
Naidu, Suresh [3 ]
Suri, Siddharth [4 ]
机构
[1] Univ Massachusetts, Dept Econ, Amherst, MA 01003 USA
[2] Columbia Univ, Dept Polit Sci, New York, NY 10027 USA
[3] Columbia Univ, Dept Econ, SIPA, New York, NY 10027 USA
[4] Microsoft Res, Redmond, WA USA
关键词
D O I
10.1257/aeri.20180150
中图分类号
F [经济];
学科分类号
02 ;
摘要
Despite 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.
引用
收藏
页码:33 / 46
页数:14
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