Model and analysis of labor supply for ride-sharing platforms in the presence of sample self-selection and endogeneity

• Main Authors: SUN, Hao, WANG, Hai, WAN, Zhixi
• 格式: text
• 語言: English
• 出版: Institutional Knowledge at Singapore Management University 2019
• 主題: Ride-sharing platforms; Labor supply; Income elasticity; Sample selection; Endogeneity; Databases and Information Systems; Operations Research, Systems Engineering and Industrial Engineering; Transportation
• 在線閱讀: https://ink.library.smu.edu.sg/sis_research/4515; https://ink.library.smu.edu.sg/context/sis_research/article/5518/viewcontent/1_s20_S0191261518306106_main.pdf
• 機構: Singapore Management University

With the popularization of ride-sharing services, drivers working as freelancers on ride-sharing platforms can design their schedules flexibly. They make daily decisions regard- ing whether to participate in work, and if so, how many hours to work. Factors such as hourly income rate affect both the...