SFCROSS: Stata module for cross-sectional stochastic frontier models estimation

The -sfcross- command mirrors the official -frontier- command functionality, adding new features such as: i ) the estimation of Normal-Gamma models via Simulated Maximum Likelihood (Greene 2003); ii ) the estimation of the Normal-Truncated Normal model proposed by Wang (2002) in which both the location and the scale parameters of the inefficiency distribution can be expressed as a function of exogenous covariates; and iii ) the opportunity to manage complex survey data characteristics (via the -svyset- command).