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Generating ambiguity in the laboratory / Jack Stecher in Management science, Vol. 57 N° 4 (Avril 2011) 

Public ISBD [article]  in Management science > Vol. 57 N° 4 (Avril 2011) . - pp. 705-712 Titre : Generating ambiguity in the laboratory Type de document : texte imprimé Auteurs : Jack Stecher, Auteur ; Timothy Shields, Auteur ; John Dickhaut, Auteur Année de publication : 2011 Article en page(s) : pp. 705-712 Note générale : Management Langues : Anglais (eng) Mots-clés : Ambiguity  Ellsberg  Knightian  uncertainty  Laboratory  experiments  Decision  analysis  Theory Index. décimale : 658 Organisation des entreprises. Techniques du commerce Résumé : This article develops a method for drawing samples from a distribution with no finite quantiles or moments. The method provides researchers with a way to give subjects the experience of ambiguity. In any experiment, learning the distribution from experience is impossible for the subjects, essentially because it is impossible for the experimenter. We characterize our method, illustrate it in simulations, and then test it in a laboratory experiment. Our method does not withhold sampling information, does not assume that the subject is incapable of making statistical inferences, is replicable across experiments, and requires no special apparatus. We compare our method to the techniques used in related experiments that attempt to produce an ambiguous experience for the subjects. DEWEY : 658 ISSN : 0025-1909 En ligne : http://mansci.journal.informs.org/cgi/content/abstract/57/4/705 [article] Generating ambiguity in the laboratory [texte imprimé] / Jack Stecher, Auteur ; Timothy Shields, Auteur ; John Dickhaut, Auteur . - 2011 . - pp. 705-712. Management Langues : Anglais (eng) in Management science > Vol. 57 N° 4 (Avril 2011) . - pp. 705-712 Mots-clés : Ambiguity  Ellsberg  Knightian  uncertainty  Laboratory  experiments  Decision  analysis  Theory Index. décimale : 658 Organisation des entreprises. Techniques du commerce Résumé : This article develops a method for drawing samples from a distribution with no finite quantiles or moments. The method provides researchers with a way to give subjects the experience of ambiguity. In any experiment, learning the distribution from experience is impossible for the subjects, essentially because it is impossible for the experimenter. We characterize our method, illustrate it in simulations, and then test it in a laboratory experiment. Our method does not withhold sampling information, does not assume that the subject is incapable of making statistical inferences, is replicable across experiments, and requires no special apparatus. We compare our method to the techniques used in related experiments that attempt to produce an ambiguous experience for the subjects. DEWEY : 658 ISSN : 0025-1909 En ligne : http://mansci.journal.informs.org/cgi/content/abstract/57/4/705