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Correlation Made Simple: Applications to Salience and Regret Theory*
The Quarterly Journal of Economics ( IF 11.1 ) Pub Date : 2021-11-08 , DOI: 10.1093/qje/qjab041
Giacomo Lanzani 1
Affiliation  

We offer an axiomatization of risk models where the choices of the decision maker are correlation sensitive. By extending the techniques of conjoint measurement to the nondeterministic case, we show that transitivity is the von Neumann-Morgenstern axiom that has to be relaxed to allow for these richer patterns of behavior. To illustrate the advantages of our modeling choice, we provide a simple axiomatization for the salience theory model within our general framework. This approach leads to clear comparison to popular preexisting models such as regret and reference dependence, and lets us single out the ordering property as the feature that brings salience theory outside the prospect theory realm.

中文翻译:

相关性变得简单:突出和遗憾理论的应用*

我们提供了风险模型的公理化,其中决策者的选择是相关性敏感的。通过将联合测量技术扩展到非确定性情况,我们表明传递性是冯诺依曼-摩根斯坦公理,必须放宽以允许这些更丰富的行为模式。为了说明我们的建模选择的优势,我们在我们的一般框架内为显着性理论模型提供了一个简单的公理化。这种方法可以与流行的预先存在的模型(例如后悔和参考依赖)进行清晰的比较,并让我们挑选出排序属性作为将显着性理论带入前景理论领域之外的特征。
更新日期:2021-11-08
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