Psychologists at the Gate: A Review of Daniel Kahneman's Thinking, Fast and Slow

Andrei Shleifer

Journal of Economic Literature, 2012, vol. 50, issue 4, 1080-91

Abstract: The publication of Daniel Kahneman's book, Thinking, Fast and Slow , is a major intellectual event. The book summarizes, but also integrates, the research that Kahneman has done over the past forty years, beginning with his path-breaking work with the late Amos Tversky. The broad theme of this research is that human beings are intuitive thinkers and that human intuition is imperfect, with the result that judgments and choices often deviate substantially from the predictions of normative statistical and economic models. In this review, I discuss some broad ideas and themes of the book, describe some economic applications, and suggest future directions for research that the book points to, especially in decision theory. (JEL A12, D03, D80, D87)

JEL-codes: A12 D03 D80 D87 (search for similar items in EconPapers)
Date: 2012
Note: DOI: 10.1257/jel.50.4.1080
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (28)

Downloads: (external link)
http://www.aeaweb.org/articles.php?doi=10.1257/jel.50.4.1080 (application/pdf)
Access to full text is restricted to AEA members and institutional subscribers.

Related works:
Working Paper: Psychologists at the Gate: Review of Daniel Kahneman?s Thinking, Fast and Slow
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:aea:jeclit:v:50:y:2012:i:4:p:1080-91

Ordering information: This journal article can be ordered from
https://www.aeaweb.org/journals/subscriptions

Access Statistics for this article

Journal of Economic Literature is currently edited by Steven Durlauf

More articles in Journal of Economic Literature from American Economic Association Contact information at EDIRC.
Bibliographic data for series maintained by Michael P. Albert ().