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

Version
1
Resource Type
Dataset
Creator
  • Haggag, Kareem
  • McManus, Brian
  • Paci, Giovanni
Publication Date
2017-01-01
Description
  • Abstract

    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.
Availability
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Relations
  • Is supplement to
    DOI: 10.1257/app.20150059 (Text)
Publications
  • Haggag, Kareem, Brian McManus, and Giovanni Paci. “Learning by Driving: Productivity Improvements by New York City Taxi Drivers.” American Economic Journal: Applied Economics 9, no. 1 (January 2017): 70–95. https://doi.org/10.1257/app.20150059.
    • ID: 10.1257/app.20150059 (DOI)

Update Metadata: 2020-05-18 | Issue Number: 2 | Registration Date: 2019-10-12

Haggag, Kareem; McManus, Brian; Paci, Giovanni (2017): Replication data for: Learning by Driving: Productivity Improvements by New York City Taxi Drivers. Version: 1. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/E113636V1