This working paper presents a new scoring algorithm for the SF-6D, one of the most popular preference-based health status measures. Previous algorithms suffer from a phenomenon called the floor effect (i.e., lack of sensitivity of the instrument for detecting health gains of individuals whose...

This paper presents a novel approach to model health state valuations using inverse probability weighting techniques. Our approach makes no assumption on the distribution of health state values, accommodates covariates in a flexible way, eschews parametric assumptions on the relationship between...

This paper systematizes the different approaches used to measure health related social preferences. We suggest that those preferences involving both personal and altruistic concerns (the so-called “socially inclusive personal preferences”) should be used to make social decisions. We argue...