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- W2912309274 abstract "We design an experiment to evaluate behavior in a dynamic spatial game representing the incentives faced by drivers on a ridesharing platform while waiting to be matched with a rider. The design is unique in that it allows us to observe not only participants' choices, but also the considerations that went into those choices. The results of the experiment show that a large majority of player choices are consistent with myopic best responding---a myopic best response maximizes a player's flow payoff at the time of the decision but ignores strategic considerations regarding the future choices of opponents. Given this finding, we develop agent-based models of spatial competition built upon myopic agents. Myopic behavior in our model results in quite efficient outcomes, suggesting that ridesharing platforms may benefit from sharing with drivers the locations of other nearby drivers to allow them to compete spatially." @default.
- W2912309274 created "2019-02-21" @default.
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- W2912309274 date "2018-12-09" @default.
- W2912309274 modified "2023-09-27" @default.
- W2912309274 title "Myopia in dynamic spatial games" @default.
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- W2912309274 doi "https://doi.org/10.5555/3320516.3320619" @default.
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