Ignoring information in binary choice with continuous variables: When is less ``more?

DOI10.1016/j.jmp.2005.01.001zbMath1110.91009OpenAlexW2145586949WikidataQ56767609 ScholiaQ56767609MaRDI QIDQ2483821

Robin M. Hogarth, Natalia Karelaia

Publication date: 1 August 2005

Published in: Journal of Mathematical Psychology (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10230/1175

zbMATH Keywords

Bounded rationalityLexicographic rules

Mathematics Subject Classification ID

Decision theory (91B06) Social choice (91B14)

Related Items (7)

Naïve heuristics for paired comparisons: some results on their relative accuracy ⋮ ``Take-the-best and other simple strategies: why and when they work ``well with binary cues ⋮ Forecasting with cue information: a comparison of multiple regression with alternative forecasting approaches ⋮ Tight upper bounds for the expected loss of lexicographic heuristics in binary multi-attribute choice ⋮ A geometric analysis of when fixed weighting schemes will outperform ordinary least squares ⋮ Categorization with limited resources: A family of simple heuristics ⋮ Meta-inductive prediction based on attractivity weighting: mathematical and empirical performance evaluation

Cites Work

• ``Take-the-best and other simple strategies: why and when they work ``well with binary cues
• Fast, frugal, and fit: simple heuristics for paired comparison
• Simple Models for Multiattribute Choice with Many Alternatives: When It Does and Does Not Pay to Face Trade-offs with Binary Attributes
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