On estimating efficiency effects in a stochastic frontier model

DOI10.1016/j.ejor.2018.05.052zbMath1403.62224OpenAlexW2806995420MaRDI QIDQ724176

Sriram Shankar, Satya Paul

Publication date: 25 July 2018

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

Full work available at URL: https://doi.org/10.1016/j.ejor.2018.05.052

zbMATH Keywords

technical efficiencystochastic frontiernon-linear least squaresstandard normal cumulative distribution function

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Production theory, theory of the firm (91B38) Economic models of real-world systems (e.g., electricity markets, etc.) (91B74) Statistical methods; economic indices and measures (91B82)

Related Items (8)

Bayesian artificial neural networks for frontier efficiency analysis ⋮ Bayesian learning in performance. Is there any? ⋮ On the estimation of technical and allocative efficiency in a panel stochastic production frontier system model: some new formulations and generalizations ⋮ Inference in the spatial autoregressive efficiency model with an application to Dutch dairy farms ⋮ Management estimation in banking ⋮ Combining data envelopment analysis and stochastic frontiers via a LASSO prior ⋮ Efficiency effects in a copula based stochastic frontier model ⋮ Quantile Methods for Stochastic Frontier Analysis

Cites Work

• A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity
• Estimation and inference in two-stage, semi-parametric models of production processes
• Formulation and estimation of stochastic frontier production function models
• Biases in frontier estimation due to heteroscedasticity
• Using stochastic frontier analysis to measure the impact of weather on the efficiency of electricity distribution businesses in developing economies
• Dynamic effects in inefficiency: evidence from the Colombian banking sector
• Some models for stochastic frontiers with endogeneity
• Root-N-Consistent Semiparametric Regression
• Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error
• Stochastic Frontier Analysis
• Efficiency Analysis: A Primer on Recent Advances

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