时间：2026年5月12日 9：00-12：00

地点：邵逸夫科学馆206会议室

题目：Associative Networks in Decision Making

内容摘要：We present a model of associative networks that captures how decision makers expand their consideration set through mental associations between alternatives. Our model provides a tractable approach to study how associations shape choice when some alternatives are available and others are merely observable but unavailable. We characterize the model within a random attention framework and demonstrate unique identification of all parameters. This framework delivers a unified account of several prominent choice anomalies, including classic menu effects and their “phantom" counterparts. We illustrate how associative links serve as a strategic variable in applications such as branding, imitation, and platform design.

主讲人介绍: Mu Zhang received his BA in Economics and B.Sc. in Mathematics from Tsinghua University, and his MA and PhD in Economics from Princeton University. He is a microeconomic theorist. His research focuses on decision theory and behavioral economics. His papers have been published in journals such as Journal of Political Economy, Journal of Economic Theory, and American Economic Journal: Microeconomics.