Dynamic Service Fee Pricing under Strategic Behavior: Actions as Instruments and Phase Transition

Neural Information Processing Systems 

We study a dynamic pricing problem for third-party platform service fees under strategic, far-sighted customers. In each time period, the platform sets a service fee based on historical data, observes the resulting transaction quantities, and collects revenue.

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