arXiv:1910.04260
Robust Monopoly Regulation
원문 초록
We study the regulation of a monopolistic firm using a robust-design approach. We solve for the policy that minimizes the regulator's worst-case regret, where the regret is the difference between his complete-information payoff minus his realized payoff. When the regulator's payoff is consumers' surplus, it is optimal to impose a price cap. The optimal cap balances the benefit from more surplus for consumers and the loss from underproduction. When his payoff is consumers' surplus plus the firm's profit, he offers a piece-rate subsidy in order to mitigate underproduction, but caps the total subsidy so as not to incentivize severe overproduction.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
NeuralFoil: An Airfoil Aerodynamics Analysis Tool Using Physics-Informed Machine Learning
Stochastic Integration Based Estimator: Robust Design and Stone Soup Implementation
Robust Waveform Design for Integrated Sensing and Communication
GAN-DUF: Hierarchical Deep Generative Models for Design Under Free-Form Geometric Uncertainty
Inverse deep learning methods and benchmarks for artificial electromagnetic material design
RID-Noise: Towards Robust Inverse Design under Noisy Environments
토론
이 논문과 연결된 포럼 글이 아직 없습니다.