Publication | Closed Access
The effects of surge pricing on driver behavior in the <scp>ride‐sharing</scp> market: Evidence from a <scp>quasi‐experiment</scp>
20
Citations
44
References
2022
Year
Demand ManagementEconomicsDynamic PricingPricing PolicyDriver BehaviorBusinessEconomic AnalysisExperimental EconomicsMarket DesignSurge PricingExtensive MarginTransport EconomicsMarketingPricingAbstract Surge PricingOn-demand TransportBehavioral Economics
Surge pricing is used to balance supply and demand in ride‑sharing, yet its causal impact on driver behavior is not well understood. This study investigates how surge pricing causally affects driver earnings and labor supply using a quasi‑experiment where a Chinese ride‑sharing firm introduced surge pricing at different times in two cities. The authors employ a difference‑in‑differences design with causal‑forest estimation to exploit the staggered rollout and measure its effect on drivers. Surge pricing raises drivers’ weekly revenue by increasing the number of days worked, but daily earnings fall because a competition effect outweighs cherry‑picking, benefiting part‑time drivers more and unevenly distributing gains.
Abstract Surge pricing has been used to coordinate supply and demand in the ride‐sharing industry, but its causal effects on driver behavior remain unclear. This motivates us to examine how surge pricing causally affects driver earnings and labor supply by leveraging a unique quasi‐experiment, in which a leading ride‐sharing company in China introduced surge pricing in two cities at different times. Using a difference‐in‐differences design with the causal forest method, we find that surge pricing led to increases in drivers' weekly revenue. Decomposing the weekly revenue into “intensive margin” and “extensive margin” factors, we discover two countervailing effects at play: a cherry‐picking effect and a competition effect, and the daily revenue decreased because the latter dominated. Consequently, the increased weekly revenue can be explained by the extensive margin: drivers worked on more days to compensate for the decreased daily revenue, a result consistent with the income targeting behavior. Finally, we examine heterogeneous treatment effects across drivers, and find that surge pricing enticed more part‐time drivers to flood the market and crowd out full‐time drivers, and that the increase in the drivers' weekly revenue was primarily driven by part‐time drivers. Therefore, the benefit of surge pricing was unevenly distributed across drivers.
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