“…While is not di cult to verify that a non-strict Archimedean copula C(u, v) is not able to model independence directly i.e. C(u, v) ≠ uv ≠ Π (u, v), it can be extremely useful when dealing with phenomena that exhibit upper tail dependence, or when one is interested in the dependence structure of random quantities that do not take on low quantiles at the same time [5,11,26]. In economics, for instance, a situation in which a non-strict copula could be a viable tool for data modeling is given by the presence of minimum production cost (including minimum wages), or the existence of some sort of technological frontier [43].…”