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Cited by 531

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Inattentive consumers

Open access
Reis, Ricardo·2006·Journal of Monetary Economics

Abstract

This paper studies the consumption decisions of agents who face costs of acquiring, absorbing and processing information. These consumers rationally choose to only sporadically update their information and re-compute their optimal consumption plans. In between updating dates, they remain inattentive. This behavior implies that news disperses slowly throughout the population, so events have a gradual and delayed effect on aggregate consumption. The model predicts that aggregate consumption adjusts slowly to shocks, and is able to explain the excess sensitivity and excess smoothness puzzles. In addition, individual consumption is sensitive to ordinary and unexpected past news, but it is not sensitive to extraordinary or predictable events. The model further predicts that some people rationally choose to not plan, live hand-to-mouth, and save less, while other people sporadically update their plans. The longer are these plans, the more they save. Evidence using U.S. aggregate and microeconomic data generally supports these predictions.

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Crossref · 10.1016/j.jmoneco.2006.03.001

Cites

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Citations

Cites

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Metadata

Authors
Reis, R.
Venue
Journal of Monetary Economics
Publisher
Elsevier BV
Published
2006-11
Volume
53
Issue
8
Pages
1761-1800
ISSN
0304-3932 (ISSN-L)
OpenAlex
W4243928658
Cited by
531
References
3
FWCI
42.21
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Inattentive consumers. https://app.cochat.ai/papers/10.1016/j.jmoneco.2006.03.001
The paper
Reis, R. (2006). Inattentive consumers. Journal of Monetary Economics. https://doi.org/10.1016/j.jmoneco.2006.03.001

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.