A Revealed Preference Test for Choquet and Max-Min Expected Utility with Ambiguity Aversion
开发了一种不依赖效用函数具体形式的Choquet期望效用模型显示偏好检验，计算高效，并在两个实验数据集上验证了其相对于主观期望效用模型的拟合优度。
We develop a revealed preference test for the Choquet expected utility model with ambiguity aversion, which does not rely on specific functional form assumptions on the utility index. It is computationally efficient if the number of states is not too large, even for a large number of observations. This is a nice feature compared to other existing revealed preference tests for decision models with ambiguity. We illustrate the usefulness of our results by implementing our test on two experimental datasets from the literature, and we compare the empirical fit of this model to the subjective expected utility model.