Publication Type

Working Paper

Version

publishedVersion

Publication Date

9-2024

Abstract

We present a model of associative networks that captures how a decision maker expands her consideration set through mental associations between alternatives. This model serves as a tool to understand the influence of association on decision making. As a proof of concept, we characterize this model within a random attention framework and demonstrate that all the relevant parameters are uniquely identifiable. Notably, in a novel choice domain where not all observable alternatives are available, the presence of unavailable alternatives can affect the choice frequencies of other alternatives through association.

Keywords

associative network, random attention, consideration set, random choice, availability and observability

Discipline

Economic Theory

Research Areas

Economic Theory

First Page

1

Last Page

55

Copyright Owner and License

Authors

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