GTTHJun 2

Competitive Information Design in Sequential Search

arXiv:2606.0352711.0h-index: 4
Predicted impact top 8% in GT · last 90 daysOriginality Incremental advance
AI Analysis

For economists and marketers, this work advances the theoretical understanding of competitive information disclosure in sequential search, though it is an incremental extension of existing models.

This paper extends the information design framework for advertising to a competitive setting with multiple senders and a sequential searching receiver. It provides a duality-based method to verify best responses, proves equilibrium existence under continuous priors, and characterizes symmetric equilibria for monotone densities.

Advertisements often strategically disclose information to consumers who make decisions on further information acquisition and eventual purchase. Anderson and Renault (2006) model this problem using an information design framework, where the advertiser acts as a sender and the consumer as a receiver. We extend this model to a competitive setting with horizontally differentiated senders competing for a unit-demand receiver. Under costly inspection, the receiver's optimal sequential search action is given by Weitzman's Index Algorithm. We give a method, based on duality arguments, to verify whether a sender's given information strategy constitutes a best response against his competitors (other senders). We establish the existence of an equilibrium in the game among senders when the prior distributions have no mass; we also illustrate that such equilibria may exhibit intricate behaviors. Finally, we meticulously characterize symmetric equilibria played by the senders for cases when the prior distributions have monotone increasing densities, while offering economic intuitions behind the insightful equilibrium structure.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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