Optimize, satisfice, or choose without deliberation? A simple minimax-regret assessment
Charles Manski
Theory and Decision, 2017, vol. 83, issue 2, No 1, 155-173
Abstract:
Abstract Simon (Q J Econ 69:99–118, 1955) introduced satisficing, but he did not provide a precise definition or analysis. Other researchers have subsequently interpreted satisficing in various ways, but a consensus perspective still has not emerged. This paper interprets satisficing as a class of decision strategies that a person might use when seeking to optimize in a setting where deliberation is costly. Costly deliberation lies at the heart of Simon’s motivation of satisficing, but he did not formalize the idea. I do so here, studying decision making as a problem of minimax-regret planning in which costly deliberation enables a person to reduce ambiguity. I report simple specific findings on how the magnitude of deliberation costs may affect choice of a decision strategy.
Keywords: Satisficing; Bounded rationality; Costly deliberation; Decision under ambiguity; Minimax regret (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)
Downloads: (external link)
http://link.springer.com/10.1007/s11238-017-9592-1 Abstract (text/html)
Access to full text is restricted to subscribers.
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:kap:theord:v:83:y:2017:i:2:d:10.1007_s11238-017-9592-1
Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/11238/PS2
DOI: 10.1007/s11238-017-9592-1
Access Statistics for this article
Theory and Decision is currently edited by Mohammed Abdellaoui
More articles in Theory and Decision from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().