Replication data for: Learning by Driving: Productivity Improvements by New York City Taxi Drivers

Principal Investigator(s): View help for Principal Investigator(s) Kareem Haggag; Brian McManus; Giovanni Paci

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20150059_code_data			10/12/2019 01:05:PM
LICENSE.txt	text/plain	14.6 KB	10/12/2019 09:05:AM

Project Citation:

Haggag, Kareem, McManus, Brian, and Paci, Giovanni. Replication data for: Learning by Driving: Productivity Improvements by New York City Taxi Drivers. Nashville, TN: American Economic Association [publisher], 2017. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E113636V1

Project Description

Summary: 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.

Scope of Project

JEL Classification:
      D83 Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
      J24 Human Capital; Skills; Occupational Choice; Labor Productivity
      L26 Entrepreneurship
      L92 Railroads and Other Surface Transportation
      R41 Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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Published Versions

V1 [2019-10-12]

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DDI 2.5

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