No abstract.

may, on their own, generate monotone matching predictions in the absence of complementarities or anti-complementarities in production technology. We also derive sufficient conditions on the primitives of the model leading to the optimality of positive and negative matching of team members.

SEM researchers use Monte-Carlo simulations to ascertain the robustness of statisticalestimators and the performance of various fit indices under varying conditions of nonnormality.The efficacy of these Monte-Carlo simulations is closely related to thegeneration of non-normal data....