2007
DOI: 10.1016/j.joep.2007.01.005
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On the relationship between Keynes’s conception of evidential weight and the Ellsberg paradox

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Cited by 15 publications
(8 citation statements)
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References 27 publications
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“…Bu görüş nihai olarak belirsizlik altında tercihler teorisine Savage'ın yaklaşımına, yani belirsizliğin tamamen öznel olduğu ve olasılık değerlendirmesini kişinin tercihlerinin belirlediğine yol açar. Örneğin, iki kumar oyununun sonucu aynı ise, ancak biri diğerine tercih ediliyorsa, karar alıcı favori alternatif için daha yüksek kazanma olasılığı belirler (Feduzi, 2007). Öznelciler, herhangi bir olay için olasılık belirlenebileceğini varsayarlar.…”
Section: İktisatta Belirsizlik Ve Risk Kavramlarıunclassified
“…Bu görüş nihai olarak belirsizlik altında tercihler teorisine Savage'ın yaklaşımına, yani belirsizliğin tamamen öznel olduğu ve olasılık değerlendirmesini kişinin tercihlerinin belirlediğine yol açar. Örneğin, iki kumar oyununun sonucu aynı ise, ancak biri diğerine tercih ediliyorsa, karar alıcı favori alternatif için daha yüksek kazanma olasılığı belirler (Feduzi, 2007). Öznelciler, herhangi bir olay için olasılık belirlenebileceğini varsayarlar.…”
Section: İktisatta Belirsizlik Ve Risk Kavramlarıunclassified
“…Ellsberg is concerned with decisions under uncertainty, following the distinction drawn by Knight (1921) between measurable uncertainty (which Ellsberg calls risk) and unmeasurable uncertainty (which Ellsberg calls ambiguity). Similarly, John Maynard Keynes (1921) distinguishes between probabilities that can be assigned definite numerical values versus noncomparable probabilities for which the weight of evidence does not support numeric estimates (Feduzi 2007). Like Keynes, Ellsberg believes that in situations characterized by high ambiguity, rational actors may make decisions that cannot be explained by any assignment of numerical probabilities reflecting degrees of belief associated with events.…”
Section: Figmentioning
confidence: 99%
“…Keynes"s distinction between "probability, representing the balance of evidence in favour of a particular proposition and the weight of evidence, representing the quantity of evidence supporting that balance" (Fox and Tversky, 1995, p. 585) has been widely used to explain some of the limits of the SEU model (Anand, 1991;Camerer and Weber, 1992;Curley and Yates, 1989;Ellsberg, 2001;Einhorn and Hogarth, 1985;Fox and Tversky, 1995;Gärdenfors and Sahlin, 1988;Kelsey, 1994;Tversky, 1997). The seminal contribution here is Ellsberg"s (1961) early critique of the SEU model, which is built around an example that is virtually identical to Keynes"s two colour urn example (Runde, 1994a;Fox and Tversky, 1995;Feduzi, 2007) and which inspired a significant research program over the last 30 years.…”
Section: Introductionmentioning
confidence: 99%
“…The point can be easily grasped by introducing some definitions. Let Ω be the set of all evidence which is relevant for estimating the probability of a proposition H. Let K be the set of relying on statistical criteria for determining the optimal dimension of the sample (Feduzi, 2007). Nevertheless, such standard statistical criteria do not seem to satisfy Keynes"s requirements for an objective principle as they also depend -to some extent -on subjective parameters such as the level of confidence chosen or the maximum error admitted.…”
mentioning
confidence: 99%