Modeling Spatial Interaction in Stochastic Frontier Analysis [PDF]
Frontiers in Sustainable Food Systems, 2021 We compare farm level efficiency rankings derived from non-spatial and a variety of spatial model specifications that account for unobserved heterogeneity in both the production and the efficiency sides of the stochastic frontier model in an empirical ...
Francisco J. Areal, Valerien O. Pede
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Estimating the potato farming efficiency: A comparative study between stochastic frontier analysis and data envelopment analysis. [PDF]
PLoS One, 2023 Background The government of Bangladesh has been trying to encourage potato consumption to reduce pressure on rice consumption and earn foreign currency along with ensuring zero hunger that helps to achieve the Sustainable Development Goal.
Sultana S, Hossain MM, Haque MN.
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Quantile Methods for Stochastic Frontier Analysis
Foundations and Trends® in Econometrics, 2022 Summary: Quantile regression has become one of the standard tools of econometrics. We examine its compatibility with the special goals of stochastic frontier analysis. We document several conflicts between quantile regression and stochastic frontier analysis.
A. Papadopoulos, Christopher F. Parmeter
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A comparative study of energy and carbon efficiency for emerging countries using panel stochastic frontier analysis. [PDF]
Sci Rep, 2019 The demand for energy has been increasing significantly worldwide. Consequently, carbon emissions have accelerated, since energy usage involves carbon dioxide.
Jin T, Kim J.
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Measuring the Efficiency of a Hospital based on the Econometric Stochastic Frontier Analysis (SFA) Method [PDF]
Electronic Physician, 2016 Introduction: Hospitals are the most expensive health services provider in the world. Therefore, the evaluation of their performance can be used to reduce costs.
Satar Rezaei +5 more
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Dependence modeling in stochastic frontier analysis
Dependence Modeling, 2022 This review covers several of the core methodological and empirical developments surrounding stochastic frontier models that incorporate various new forms of dependence.
Mamonov Mikhail E. +2 more
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Correcting for sample selection in stochastic frontier analysis: insights from rice farmers in Northern Ghana [PDF]
Agricultural and Food Economics, 2019 This study employs stochastic frontier analysis (SFA) correcting for sample selection bias, to determine technical efficiency (TE) and technology gap using cross-sectional data collected from 543 rice farmers in Northern Ghana.
S. B. Azumah, S. Donkoh, J. Awuni
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HETEROSCEDASTICITY CORRECTION MEASURES IN STOCHASTIC FRONTIER ANALYSIS
Annals of the University of Oradea: Economic Sciencehe stochastic frontier analysis (SFA) model, designed to assess technical efficiency in production models, operates under the assumption of homoscedasticity.
Rauf I. RAUF +4 more
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STOCHASTIC FRONTIER ANALYSIS OF
, 2014 Vietnamese Manufacturing Firms
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Measuring efficiency of governmental hospitals in Palestine using stochastic frontier analysis. [PDF]
Cost Eff Resour Alloc, 2016 Hamidi S.
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