Competitive Information Disclosure with Heterogeneous Consumer Search
원문 초록
We study a model of competitive information design in an oligopoly search market with heterogeneous consumer search costs. A unique class of equilibria -- upper-censorship equilibria -- emerges under intense competition. In equilibrium, firms balance competitive pressure with local monopoly power granted by search frictions. Notably, firms disclose only partial information even as the number of firms approaches infinity. The maximal informativeness of equilibrium decreases under first-order shifts in the search cost distribution, but varies non-monotonically under mean-preserving spreads. The model converges to the full-disclosure benchmark as search frictions vanish, and to the no-disclosure benchmark as search costs become homogeneous.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Multi-Preference Lambda-weighted Listwise DPO for Dynamic Preference Alignment
CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems
ERU-KG: Efficient Reference-aligned Unsupervised Keyphrase Generation
Power-Law Decay Loss for Large Language Model Finetuning: Focusing on Information Sparsity to Enhance Generation Quality
ICYM2I: The illusion of multimodal informativeness under missingness
Laplace Sample Information: Data Informativeness Through a Bayesian Lens
토론
이 논문과 연결된 포럼 글이 아직 없습니다.