Quantile estimation of stochastic frontiers with the normal-exponential specification

DOI10.1016/j.ejor.2021.03.002zbMath1487.62149OpenAlexW3134438443WikidataQ115575525 ScholiaQ115575525MaRDI QIDQ2239890

Samah Jradi, Christopher F. Parmeter, John Ruggiero

Publication date: 5 November 2021

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2021.03.002

zbMATH Keywords

productionexponential distributionefficiencyquantile functionoptimal quantile

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Nonparametric regression and quantile regression (62G08) Production theory, theory of the firm (91B38)

Related Items (4)

Robust maximum likelihood estimation of stochastic frontier models ⋮ Minimax regret priors for efficiency estimation ⋮ Quantile estimation of stochastic frontier models with the normal-half normal specification: a cumulative distribution function approach ⋮ Quantile Methods for Stochastic Frontier Analysis

Uses Software

• frontier

Cites Work

• Forward search outlier detection in data envelopment analysis
• Estimating a stochastic production frontier when the adjusted error is symmetric
• A gamma-distributed stochastic frontier model
• A Monte Carlo study of estimators of stochastic frontier production functions
• Formulation and estimation of stochastic frontier production function models
• Stochastic data envelopment analysis: a quantile regression approach to estimate the production frontier
• Shadow prices and marginal abatement costs: convex quantile regression approach
• A nonparametric framework to detect outliers in estimating production frontiers
• Theory and statistical properties of quantile data envelopment analysis
• Quantile stochastic frontiers
• Quantile stochastic frontier models with endogeneity
• Quantile estimation of the stochastic frontier model
• Semiparametric smooth-coefficient stochastic frontier model
• A table of normal integrals
• Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error
• Measurement of Productivity and Efficiency
• The Oxford Handbook of Leibniz

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