Asymmetric Information and Ranked Information Are Equivalent in Making Information Utilization Heterogeneous
Taiji Harashima
MPRA Paper from University Library of Munich, Germany
Abstract:
In information economics, any piece of information is assumed to have the same value across people, even if the information is distributed asymmetrically. However, in actuality, information has different values across people, even if it is distributed equally, because people utilize the same information differently and reach different conclusions with it. In this paper, I construct a model of heterogeneous information utilization by introducing the concept of ranked information. I conclude that the effects of asymmetric information and ranked information on economic activities are essentially equivalent. However, there are still some differences between them, and ranked information will be more economically important than asymmetric information. Furthermore, ranked information can cause an extreme economic inequality.
Keywords: Asymmetric information; Economic inequality; Government intervention; Heterogeneity; Information retrieval; Ranking (search for similar items in EconPapers)
JEL-codes: D60 D63 D80 D82 D83 (search for similar items in EconPapers)
Date: 2022-06-27
New Economics Papers: this item is included in nep-mic
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/113576/1/MPRA_paper_113576.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:113576
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 ().