Search with learning in the retail gasoline market

• 成果类型: Article
• 署名作者: Wu, Xiaosong; Lewis, Matthew S.; Wolak, Frank A.
• 署名单位: University of Melbourne; Clemson University; Stanford University
• 刊物名称: RAND JOURNAL OF ECONOMICS
• ISSN/ISSBN: 0741-6261
• DOI: 10.1111/1756-2171.12466
• 发表日期: 2024
• 页码: 292-323
• 关键词: consumer search; product differentiation; spatial differentiation; price dispersion; COMPETITION; demand; distributions; uncertainty; ECONOMICS; industry

摘要

This article estimates a model of optimal search where consumers learn the distribution of gasoline prices during their driving trips. Our model incorporates traffic information and leverages this ordered search environment to recover parameters of the search and learning process using only station-level price and market share data. We find that learning is a crucial component of search in this market. Consumers' prior beliefs regularly deviate from the true price distribution but are updated quickly following each new price observation. Counterfactuals reveal how these learning dynamics generate asymmetric search patterns commonly associated with asymmetric cost pass-through.