Abstract
Wrong skewness in the stochastic frontier model leads to many empirical and conceptual problems. A variety of approaches have been proposed to deal with this issue. Here we offer a solution based on moment constraints of the assumed density. • Offers alternative approach to wrong skewness. • Moment constrained maximum likelihood estimation. • Find new approach outperforms standard methods. • Application reveals important empirical differences.
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