We develop a test of equality between two dependence structures estimated through
empirical copulas. We provide inference for independent or paired samples. The multiplier
central limit theorem is used for calculating p-values of the Cramér–von Mises test statistic.
Finite sample properties are assessed with Monte Carlo experiments. We apply the testing
procedure on empirical examples in finance, psychology, insurance and medicine.