Random Attention and Unobserved Reference Alternatives

Fuente: arXiv
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Autor principal: Bansal, Varun
Formato: Preprint
Publicado: 2024
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author Bansal, Varun
author_facet Bansal, Varun
contents In this paper, I develop and characterize two models of random attention that differ from each other with respect to the menu-dependence of the unobserved reference alternatives. In both models, the decision-maker pays attention to subsets of the available set of alternatives randomly with the reference alternatives being always paid attention to. Under menu-dependence, partial identification of both the reference alternatives and the underlying preferences is provided. For the case of multiple menu-independent references, I provide a complete identification of the references and a coarse identification of the underlying preferences. A complete identification of the latter is provided when the independent random attention function is considered.
format Preprint
id arxiv_https___arxiv_org_abs_2407_01528
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Random Attention and Unobserved Reference Alternatives
Bansal, Varun
Theoretical Economics
In this paper, I develop and characterize two models of random attention that differ from each other with respect to the menu-dependence of the unobserved reference alternatives. In both models, the decision-maker pays attention to subsets of the available set of alternatives randomly with the reference alternatives being always paid attention to. Under menu-dependence, partial identification of both the reference alternatives and the underlying preferences is provided. For the case of multiple menu-independent references, I provide a complete identification of the references and a coarse identification of the underlying preferences. A complete identification of the latter is provided when the independent random attention function is considered.
title Random Attention and Unobserved Reference Alternatives
topic Theoretical Economics
url https://arxiv.org/abs/2407.01528