The extended skew-normal-based stochastic frontier model with a solution to ‘wrong skewness’ problem

DOI10.1080/02331888.2021.2004142OpenAlexW3214873722MaRDI QIDQ5085226

Xiaonan Zhu, Zheng Wei, Tonghui Wang

Publication date: 27 June 2022

Published in: Unnamed Author (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331888.2021.2004142

zbMATH Keywords

technical efficiencystochastic frontier modelextended skew-normal distributionwrong skewness problem

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (3)

Dependence modeling in stochastic frontier analysis ⋮ Robust maximum likelihood estimation of stochastic frontier models ⋮ Quantile Methods for Stochastic Frontier Analysis

Uses Software

• Mathematica
• R
• sfa
• sn
• Maxlik
• frontier
• Benchmarking
• maxLik

Cites Work

• Unnamed Item
• Unnamed Item
• maxLik
• Distribution of quadratic forms under skew normal settings
• A stationary point for the stochastic frontier likelihood
• Formulation and estimation of stochastic frontier production function models
• Additive properties of skew normal random vectors
• maxLik: a package for maximum likelihood estimation in R
• Asymmetric dependence in the stochastic frontier model using skew normal copula
• Stochastic frontier models with dependent error components
• Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error
• Statistical Applications of the Multivariate Skew Normal Distribution
• The multivariate skew-normal distribution
• A new look at the statistical model identification

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