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Simple models for multi-attribute choice with many alternatives : when it does and does not pay to face tradeoffs with binary attributes

Hogarth, Robin M. (contributor); … - 2004 - [Elektronische Ressource]

Persistent link: https://www.econbiz.de/10002111651

Ignoring information in binary choice with continuous variables : when is less "more"?

Hogarth, Robin M. (contributor); … - 2004 - [Elektronische Ressource]

Persistent link: https://www.econbiz.de/10002111817

Entrepreneurial success and failure : confidence and fallible judgement

Hogarth, Robin M.; Karelaia, Natalia - 2008

Persistent link: https://www.econbiz.de/10008664840

"Take-the-best" and other simple strategies : why an when they work "well" with binary cues

Hogarth, Robin M.; Karelaia, Natalia - In: Uncertainty and risk : mental, formal, experimental …, (pp. 153-185). 2007

Persistent link: https://www.econbiz.de/10003624319

Entrepreneurial success and failure : confidence and fallible judgment

Hogarth, Robin M.; Karelaia, Natalia - In: Organization science : a journal of the Institute for … 23 (2012) 6, pp. 1733-1747

Persistent link: https://www.econbiz.de/10009688584

Regions of rationality : maps for bounded agents

Hogarth, Robin M. (contributor); … - 2005

Persistent link: https://www.econbiz.de/10002815347

The effects of financial incentives in experiments : a review and capital-labor-production framework

Camerer, Colin; Hogarth, Robin M. - In: Journal of risk and uncertainty : JRU 19 (1999) 1/3, pp. 7-42

Persistent link: https://www.econbiz.de/10001474208

Regions of Rationality : Maps for Bounded Agents

Hogarth, Robin M.; Karelaia, Natalia - 2005

An important problem faced by boundedly rational agents is to identify 'regions of rationality,' i.e., the areas for which simple, boundedly rational models are and are not effective. To map the contours of such regions, we derive probabilities that models identify the best of m alternatives (m ...

Persistent link: https://www.econbiz.de/10014060849