AI, Skill, and Productivity: The Case of Taxi Drivers
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Other versions of this item:
- Kyogo Kanazawa & Daiji Kawaguchi & Hitoshi Shigeoka & Yasutora Watanabe, 2022. "AI, Skill, and Productivity: The Case of Taxi Drivers," NBER Working Papers 30612, National Bureau of Economic Research, Inc.
- Kanazawa, Kyogo & Kawaguchi, Daiji & Shigeoka, Hitoshi & Watanabe, Yasutora, 2022. "AI, Skill, and Productivity: The Case of Taxi Drivers," IZA Discussion Papers 15677, Institute of Labor Economics (IZA).
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Cited by:
- Pablo Guerron-Quintana & Tomoaki Mikami & Jaromir Nosal, 2024. "The macroeconomic implications of the Gen-AI economy," Boston College Working Papers in Economics 1080, Boston College Department of Economics.
- Christoph Riedl & Eric Bogert, 2024. "Effects of AI Feedback on Learning, the Skill Gap, and Intellectual Diversity," Papers 2409.18660, arXiv.org.
More about this item
JEL classification:
- J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
- J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
- L92 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Railroads and Other Surface Transportation
- R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2022-11-14 (Big Data)
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