Traffic congestion: an experimental study of the Downs-Thomson paradox
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DOI: 10.1007/s10683-013-9378-4
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- Sruthi Ashraf & Alexander L. Brown & Mark W. Burris & Valon Vitaku, 2023. "Aggregate and individual effects of information in a coordination (traffic) game," Economic Inquiry, Western Economic Association International, vol. 61(4), pages 818-850, October.
- Rapoport, Amnon & Qi, Hang & Mak, Vincent & Gisches, Eyran J., 2019. "When a few undermine the whole: A class of social dilemmas in ridesharing," Journal of Economic Behavior & Organization, Elsevier, vol. 166(C), pages 125-137.
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More about this item
Keywords
Congestion; Laboratory experiments; Downs-Thomson Paradox; Coordination; C91; C92; D83; R40; R41;All these keywords.
JEL classification:
- C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
- C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
- R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General
- R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
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