Learning by Driving: Productivity Improvements by New York City Taxi Drivers

成果类型:
Article
署名作者:
Haggag, Kareem; McManus, Brian; Paci, Giovanni
署名单位:
University of Chicago; University of North Carolina; University of North Carolina Chapel Hill; New York University
刊物名称:
AMERICAN ECONOMIC JOURNAL-APPLIED ECONOMICS
ISSN/ISSBN:
1945-7782
DOI:
10.1257/app.20150059
发表日期:
2017
页码:
70-95
关键词:
reference-dependent preferences moral hazard cab drivers experience industry wages performance cabdrivers seniority MODEL
摘要:
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.
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