SPEAKER：雷莹

TIME/DATE：2026.3.31   10:00-11:00

CLASSROOM：A402

ABSTRACT：

In dynamic matching platforms, consumers often select multiple alternatives while waiting for fulfillment, and their preferences may evolve as market conditions and psychological states change. Despite the prevalence of such multi-select environments, little is known about how waiting reshapes choice behavior. We develop a hierarchical Bayesian framework to model multi-select decisions in a ride-hailing setting where passengers can sequentially expand their selected vehicle types during the matching process. The model captures passenger–trip heterogeneity and dynamic preference shifts over the waiting period. We show that most variation in price and waiting-time sensitivities arises within passengers across trips rather than across passengers, underscoring the importance of contextual heterogeneity. We further document systematic preference evolution during waiting. Our results highlight that consumer preferences in matching markets are hierarchical, context-dependent, and state-dependent, and provide a tractable framework for studying multi-stage, multi-select behavior in digital platforms.

GUEST BIO：

雷莹，现任上海纽约大学市场营销学助理教授。她于波士顿大学获得经济学博士学位，于纽约大学获得经济学硕士学位，并于中国人民大学获得经济学学士学位。她的研究领域包括平台经济、市场设计、信息经济学以及企业的广告与定价策略，研究方法结合理论建模与实证分析。她与滴滴等平台企业开展合作，参与商业分析与平台机制设计。她同时担任多家国内外顶级学术期刊的审稿人，包括 Marketing Science、Management Science 、Journal of Marketing Research和经济学（季刊）。