Who Benefits From Surge Pricing?

IF 7.1 1区经济学 Q1 ECONOMICS

Econometrica Pub Date : 2025-09-16 DOI:10.3982/ECTA19106

Juan Camilo Castillo

引用次数: 0

Abstract

New technologies have recently led to a boom in real-time pricing. I study the most salient example, surge pricing in ride hailing. Using data from Uber, I develop an empirical model of spatial equilibrium to measure the welfare effects of surge pricing. The model is composed of demand, supply, and a matching technology. It allows for temporal and spatial heterogeneity as well as randomness in supply and demand. I find that, relative to a uniform pricing counterfactual in which Uber sets the overall price level, surge pricing increases total welfare by 2.15% of gross revenue. Welfare effects differ substantially across sides of the market: rider surplus increases by 3.57% of gross revenue, whereas driver surplus and the platform's current profits decrease by 0.98% and 0.50% of gross revenue, respectively. Riders at all income levels benefit. Among drivers, those who work long hours are hurt the most, especially women.

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谁从动态定价中受益？

新技术最近导致了实时定价的繁荣。我研究的最突出的例子是网约车的动态定价。利用Uber的数据，我建立了一个空间均衡的实证模型来衡量高峰期定价的福利效应。该模型由需求、供给和匹配技术组成。它允许时间和空间的异质性以及供给和需求的随机性。我发现，相对于优步设定总体价格水平的统一定价反事实，高峰期定价使总福利增加了总收入的2.15%。市场两侧的福利效应差异很大：骑手剩余增加了总收入的3.57%，而司机剩余和平台的当期利润分别减少了总收入的0.98%和0.50%。所有收入水平的乘客都受益。在司机中，那些长时间工作的人受到的伤害最大，尤其是女性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Econometrica 社会科学-数学跨学科应用

CiteScore

11.00

自引率

3.30%

发文量

审稿时长

6-12 weeks

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