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Heuristics and Political Elites’ Judgment and Decision-Making

Bibliographic Data

ID6348485
AuthorsBarbara Vis (0000-0003-2323-3862, Utrecht University, corresponding author)
Year2019
Volume17
Issue1
Pages41-52
Publication date2019-02-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePolitical Studies Review (JOURNAL)
Journal identifiersISSN: 1478-9299 • E-ISSN: 1478-9302
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/1478929917750311
OpenAlexW2740053659
LanguageEN
Citations received30
References cited61

It is broadly assumed that political elites (e.g. party leaders) regularly rely on heuristics in their judgments or decision-making. In this article, I aim to bring together and discuss the scattered literature on this topic. To address the current conceptual unclarity, I discuss two traditions on heuristics: (1) the heuristics and biases (H&B) tradition pioneered by Kahneman and Tversky and (2) the fast and frugal heuristics (F&F) tradition pioneered by Gigerenzer et al. I propose to concentrate on two well-defined heuristics from the H&B tradition— availability and representativeness—to empirically assess when political elites rely on heuristics and thereby understand better their judgments and decisions. My review of existing studies supports the notion that political elites use the availability heuristic and possibly the representativeness one for making complex decisions under uncertainty. It also reveals that besides this, we still know relatively little about when political elites use which heuristic and with what effect(s). Therefore, I end by proposing an agenda for future research

Economics · Epistemology · Heuristic · Heuristics · Political science · Politics · Positive economics · Representativeness heuristic · Social heuristics · Sociology · Computer Science · Decision-Making and Behavioral Economics · Economic and Environmental Valuation · Experimental Behavioral Economics Studies · Law · Philosophy · Psychology · Social Psychology

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Unique citing works30
Citations per year5
Citation span2020 - 2026 (7)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 30

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