Distribution Theory and Stochastic Frontier Analysis

The purpose of this Special Issue is to collect a set of papers that focus their attention on the latest developments in modeling the error terms of the stochastic frontiers (SF) with more flexible distribution functions capable of capturing different characteristics highlighted by the observed data.

In recent literature, some more general specifications of the distribution of errors, used in the construction of the SF, have allowed some specific characteristics that were previously neglected to be modeled and some problems, such as the wrong skewness problem and dependence between the two error terms, to be investigated.

Stochastic frontier models find application in all fields of Economics and other social sciences, Statistics, Engineering, Medicine and Biomedicine, Business, and also in the art sector. Special attention will be reserved for papers with new fields of application of the methodology and philosophy underlying the SF and papers that use SF in the case of high-dimensional data.

Some subjects included in the “Distribution Theory and Stochastic Frontier Analysis” Special Issue will be wrong skewness problem, spatial dependence, dependence between the inefficiency term and random error, endogeneity, and time dependence.

Prof. Dr. Filippo Domma
Dr. Graziella Bonanno
Guest Editors

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