This paper studies the impact of Generative AI technologies on the demand for online freelancers using a large dataset from a leading global freelancing platform. We identify the types of jobs that are more affected by Generative AI and quantify the magnitude of the heterogeneous impact. Our...

Gig economy platforms compete to source labor from common pools of workers, and workers multihome by dynamically allocating their services in real-time across multiple platforms. The question of how workers choose between competing platforms has grown in salience. However, understanding workers'...

In the expanding landscape of the platform economy, the rapid rise in the number of platform workers underscores a critical issue: the need for social protection for those not covered by conventional labor laws. Recognizing the transformative impact and significant societal value of the platform...

Sharing economy online labor platforms play a critical role in bringing together freelancers and potential employers. This research is one of the few studies to address how freelancers' characteristics impact the likelihood of being hired by employers using the theory of person-environment fit...

We conduct an experiment on a major international online freelancing labor market platform to study the impact of greater flexibility in choosing work hours within a day on female participation. We post identical job advertisements (for 320 jobs) covering a wide range of tasks (80 distinct...