Slutsky matrix norms: The size, classification, and comparative statics of bounded rationality
Victor Aguiar and
Roberto Serrano
Journal of Economic Theory, 2017, vol. 172, issue C, 163-201
Abstract:
Given any observed demand behavior —by means of a demand function—, we quantify by how much it departs from rationality. The measure of the gap is the smallest Frobenius norm of the correcting matrix function that would yield a Slutsky matrix with its standard rationality properties (symmetry, singularity, and negative semidefiniteness). As a result, we are able to suggest a useful classification of departures from rationality, corresponding to three anomalies: inattentiveness to changes in purchasing power, money illusion, and violations of the compensated law of demand. Errors in comparative-statics predictions from assuming rationality are decomposed as the sum of a behavioral error (due to the agent) and a specification error (due to the modeller). Illustrations are provided using several bounded rationality models.
Keywords: Consumer theory; Slutsky matrix function; Bounded rationality; Comparative statics; Sparse-max consumer; Collective model (search for similar items in EconPapers)
JEL-codes: C60 D10 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (24)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0022053117300923
Full text for ScienceDirect subscribers only
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:eee:jetheo:v:172:y:2017:i:c:p:163-201
DOI: 10.1016/j.jet.2017.08.007
Access Statistics for this article
Journal of Economic Theory is currently edited by A. Lizzeri and K. Shell
More articles in Journal of Economic Theory from Elsevier
Bibliographic data for series maintained by Catherine Liu ().