This paper develops a non-linear stochastic frontier (SF) model. The main advantage of this model over standard SF models is that the model does not need an assumption for the distributional form of the inefficiency component. Another advantage of the developed model is that it can be used to...

Stochastic frontier models all need an assumption on the distributional form of the efficiency component. Generally this efficiency component is assumed to be half normally, truncated normally, or exponentially distributed. This paper shows that the exponential distribution is, just like the...

This paper examines the influence of misspecification in stochastic frontier analysis (SFA) models. It explores the impact of misspecification on frontier and efficiency estimates as well as efficiency scores. Using a simulation approach with several data generating processes the general...