Robustness and fuzzy multidimensional poverty indicators: a simulation study

This paper proposes a simulation study in order to evaluate the robustness of fuzzy sets indicators applied to the poverty measurement. We address the issues related to the subjectivity which affects the choice of membership to the poor set. The subjective choices of the individual researchers could lead to unstable results and then to a lack of robustness of the method. We investigate the effects of the subjectivity by means of a Monte Carlo study and we provide evidence of an extremely satisfactory robustness level for fuzzy multidimensional poverty indicators.