Behavioural economists have developed alternatives to Expected Utility Theory as descriptive and normative models of risk preferences. One popular view is that these alternative descriptive models are generally better descriptively, but that they tend to be inferior normative models for guiding risky decisions. Models of Risk Preferences collects studies that critically review these two claims from the perspective of experimental economics. The Research in Experimental Economics series focuses on laboratory experimental ...
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Behavioural economists have developed alternatives to Expected Utility Theory as descriptive and normative models of risk preferences. One popular view is that these alternative descriptive models are generally better descriptively, but that they tend to be inferior normative models for guiding risky decisions. Models of Risk Preferences collects studies that critically review these two claims from the perspective of experimental economics. The Research in Experimental Economics series focuses on laboratory experimental economics, but includes theoretical, empirical, or field economic research to encompass the broader experimental economics community.
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New. Sewn binding. Cloth over boards. 264 p. Research in Experimental Economics, 22. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
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New. Sewn binding. Cloth over boards. 264 p. Research in Experimental Economics, 22. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
