时    间：2023年11月7日（周二）13:30-14:30

地    点： 管理学院史带楼503室

题    目：Driving the Drivers: Algorithmic Wage-Setting in Ride-Hailing

主讲人：袁哲  博士

主持人：李玲芳 教授

摘    要：

Companies are increasingly using algorithms to manage their workers. Such algorithms often differentiate wages for workers based on their work schedules, thus restricting the work flexibility of gig workers and forcing them to undertake extended working hours. Using rich transaction data from a ride-hailing company in Asia, we document algorithmic wage-setting and study its impact on worker behavior. The algorithm profiles drivers based on their work schedules and favors drivers who work longer hours for the platform. Our data shows that drivers favored by the algorithm earn 8% more hourly than non-favored drivers. To quantify the welfare effects of such preferential algorithms, we construct and estimate a two-sided market model with time-varying demand and dynamic labor supply decisions. Our counterfactual shows that removing the preferential algorithm leads to a 7.79% increase in ride fares, hurting both consumers and the platform. On the other hand, an additional 10% of drivers would switch to flexible schedules, reducing their total work hours. We see a 3.51% surplus gain for drivers who keep flexible schedules. Among drivers, those who are young, male, and local benefit more.

个人简介：

袁哲博士，浙江大学经济学院百人计划研究员，博士生导师。袁哲的专业方向是产业经济学和平台经济，主要研究领域包括网络经济（航空网络和电信网络），平台增长（搜索推荐系统，AI模型），平台治理（平台的机制设计与信息披露设计），数据价值与数据隐私。他的论文发表于American Economic Journal-Microeconomics, Management Science等刊物。他主持国家青年自科项目，参与多项国家自科重大和重大专项项目。他曾获得多个奖项，包括2023年留美经济学会“邹至庄最佳论文奖”，2016年欧洲产业经济学会青年经济学家论文奖等。