in the following work we present a proof for the strong law of large numbers for pairwise negatively dependent random variables which relaxes the usual assumption of pairwise independence. let be a double sequence of pairwise negatively dependent random variables. if for all non-negative real numbers t and , for 1 < p < 2, then we prove that (1). in addition, it also converges to 0 in . the res...

This paper examines the implications of uncertainty in gravity models trade due to violation Law Large Numbers (LLN) that we document data. When number available technologies is finite and LLN does not hold, variance stochastic component large, which leads poor goodness fit high comparative statics results. We offer a procedure specifies counterfactual predictions terms distributions rather tha...