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1.
Proc Natl Acad Sci U S A ; 116(33): 16262-16267, 2019 08 13.
Artículo en Inglés | MEDLINE | ID: mdl-31350346

RESUMEN

We study the joint distribution of 11 behavioral phenomena in a group of 190 laboratory subjects and compare it to the predictions of existing models as a step in the development of a parsimonious, general model of economic choice. We find strong correlations between most measures of risk and time preference, between compound lottery and ambiguity aversion, and between loss aversion and the endowment effect. Our results support some, but not all attempts to unify behavioral economic phenomena. Overconfidence and gender are also predictive of some behavioral characteristics.


Asunto(s)
Conducta de Elección/fisiología , Toma de Decisiones/fisiología , Economía del Comportamiento , Femenino , Humanos , Masculino , Asunción de Riesgos , Encuestas y Cuestionarios
2.
Decis Anal ; 12(3): 122-129, 2015 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-26966422

RESUMEN

The success of extended warranties and buyer protection plans suggests that insurance against a small loss has high decision utility. We explore whether the behavioral insight that people are highly averse to small chances of loss can be used to create a powerful incentive that has very low expected value. We compare decisions of individuals offered fixed payments for healthy choices to those offered insurance in exchange for healthy choices. We test the prediction that aversion to small losses will result in very high rates of health behavior uptake in exchange for insurance. Three hundred participants endowed with a $2 bonus randomly received one of two incentives for completing a scheduled health risk assessment: (1) an insurance guarantee against the 1% risk of losing the $2 bonus or (2) a fixed payment at the expected value of the insurance. Relative to the fixed payment condition, participants in the insurance intervention were 70% more likely to meet their health risk assessment appointment (p < 0.01). Fixed payments of $2.59 were needed for every $1 spent on insurance to achieve the same behavioral effect. Loss aversion, probability weighting, and the certainty effect may account for this result. Incentive design may benefit from utilizing an insurance paradigm.

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