The rigidity of choice: lifetime savings under information-processing constraints

Antonella Tutino

MPRA Paper from University Library of Munich, Germany

Abstract: This paper studies the implications of information-processing limits on the consumption and savings behavior of households through time. It presents a dynamic model in which consumers rationally choose the size and scope of the information they want to process about their fi�nancial possibilities, constrained by a Shannon channel. The model predicts that people with higher degrees of risk aversion rationally choose higher information. This happens for precautionary reasons since, with fi�nite processing rate, risk averse consumers prefer to be well informed about their fi�nancial possibilities before implementing consumption plan. Moreover, numerical results show that consumers with processing capacity constraints have asymmetric responses to shocks, with negative shocks producing more persistent effects than positive ones. This asymmetry results into more savings. I show that the predictions of the model can be effectively used to study the impact of tax reforms on consumers spending. The results are qualitatively consistent with the evidence on tax rebates (2001, 2008).

Keywords: Consumption; Rational Inattention; Dynamic programming (search for similar items in EconPapers)
JEL-codes: D81 D83 D91 (search for similar items in EconPapers)
Date: 2008-06-21, Revised 2009-07-24
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/16744/1/MPRA_paper_16744.pdf original version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:16744

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().