Learning by Driving: Productivity Improvements by New York City Taxi Drivers
研究纽约市出租车司机通过实践学习如何提升生产率，发现新司机在困难情境下与老司机差距更大，且积累特定区域经验有助于优化搜索乘客策略。
We study learning by doing by New York City taxi drivers, who have substantial discretion over their driving strategies and receive compensation closely tied to their success in finding customers. In addition to documenting learning overall by these entrepreneurial agents, we exploit our data's breadth to investigate the factors that contribute to driver improvement across a variety of situations. New drivers lag further behind experienced drivers when in difficult situations. Drivers benefit from accumulating neighborhood-specific experience, which affects how they search for their next customers.