Before revision:  Our approach exploits information from the distribution of the outcome .
After revision:  Our approach exploits information from the distribution of the outcome variable, instead of just its mean. Indeed, when the outcome distribution function is more informative than the mean, our method is applicable to more general settings than theirs; in particular we do not rely on their monotonicity assumption and at the same time we also allow for multiple indices.