Edgeworth expansion based correction of selectivity bias in models of double selection

Edgeworth expansions are known to be useful for approximating probability distributions and moments. In our case, we exploit the expansion in the context of models of double selection embedded in a trivariate normal structure. We assume bivariate normality among the random disturbance terms in the t