Associative Networks in Decision Making
Theoretical Economics
2026-08-10 v1
Abstract
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.
Cite
@article{arxiv.2608.09739,
title = {Associative Networks in Decision Making},
author = {Jiangtao Li and Rui Tang and Mu Zhang},
journal= {arXiv preprint arXiv:2608.09739},
year = {2026}
}