摘要：In a recent article published in the Journal of Economic Systems Research, Mary et al. (2018) introduced an
interesting approach to systematic sensitivity analysis applied in a Computable General Equilibrium (CGE) modelling
framework. This approach offers a systematic method of identifying the model parameters that have the greatest
impact on the uncertainty of model output. According to the authors, moreover, it increases the quality of the
approximated results by decreasing the dimensionality of the problem. This article contributes to a recent set of studies
discussing the accuracy and appropriateness of different uncertainty analysis methods in economic simulation models.
While the focus of the article is on a more efficient way of sensitivity analysis, we see a problem in using an arbitrary
rotation of Stroud`s octahedron as a benchmark for assessing Monte Carlo simulations.
