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.
