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SALIENCE AND SKEWNESS PREFERENCES

机译:显着性和偏好

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摘要

Whether people seek or avoid risks on gambling, insurance, asset, or labor markets crucially depends on the skewness of the underlying probability distribution. In fact, people typically seek positively skewed risks and avoid negatively skewed risks. We show that salience theory of choice under risk can explain this preference for positive skewness, because unlikely, but outstanding payoffs attract attention. In contrast to alternative models, however, salience theory predicts that choices under risk not only depend on the absolute skewness of the available options, but also on how skewed these options appear to be relative to each other. We exploit this fact to derive novel, experimentally testable predictions that are unique to the salience model and that we find support for in two laboratory experiments. We thereby argue that skewness preferences-typically attributed to cumulative prospect theory-are more naturally accommodated by salience theory.
机译:人们是否寻求或避免在赌博,保险,资产或劳动力市场上的风险至关重要地取决于潜在概率分布的偏差。 实际上,人们通常会寻求正面偏斜的风险,并避免偏向偏斜的风险。 我们表明,风险的显着性选择理论可以解释这种对积极偏度的偏爱,因为不太可能,但是出色的回报吸引了人们的关注。 然而,与替代模型相反,显着性理论预测,风险下的选择不仅取决于可用选项的绝对偏度,而且还取决于这些选择的偏斜方式似乎相对于彼此而言。 我们利用这一事实来得出新颖的实验测试预测,这些预测是显着性模型所独有的,并且在两个实验室实验中找到了支持。 因此,我们认为,偏向于偏向于累积前景理论 - 明显理论更自然地适应。

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