Publication | Closed Access
Learning by Driving: Productivity Improvements by New York City Taxi Drivers
68
Citations
28
References
2016
Year
Transportation PolicyDriver BehaviorDifficult SituationsManagementSubstantial DiscretionProductivity ImprovementsJust-in-time LearningEconomicsPublic PolicyUrban PlanningBehavioral EconomicsTransportation PlanningPublic TransportLearning TheoryDriving StrategiesUrban EconomicsBusinessUrban MobilityDecision Science
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. (JEL D83, J24, L26, L92, R41)
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