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Stochastic Frontier Analysis: Frontmatter
, 2000Modern textbook presentations of production economics typically treat producers as successful optimizers. Conventional econometric practice has generally followed this paradigm, and least squares based regression techniques have been used to estimate production, cost, profit and other functions.
S. Kumbhakar, C. Lovell
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Stochastic Frontier Analysis: Foundations and Advances I
Handbook of Production Economics, 2020This chapter reviews some of the most important developments in the econometric estimation of productivity and efficiency surrounding the stochastic frontier model. We highlight endogeneity issues, recent advances in generalized panel data stochastic frontier models, nonparametric estimation of the frontier, quantile estimation and distribution free ...
S. Kumbhakar +2 more
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Emerging markets finance & trade, 2021
This study calculates the export trade potential and trade efficiency of China to countries along the Belt and Road within the HS 2-digit code sectors; the influencing factors are also analyzed using the one-step method.
Wenhui Jiang, Hai Zhang, Yuanyuan Lin
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This study calculates the export trade potential and trade efficiency of China to countries along the Belt and Road within the HS 2-digit code sectors; the influencing factors are also analyzed using the one-step method.
Wenhui Jiang, Hai Zhang, Yuanyuan Lin
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Sensitivity analysis of stochastic frontier analysis models
Monte Carlo Methods and Applications, 2021Abstract The efficiency measures of the Stochastic Frontier Analysis (SFA) models are dependent on distributional assumptions of the one-sided error or inefficiency term. Given the intent of earlier researchers in the evaluation of a single inefficiency distribution using Monte Carlo (MC) simulation, much attention has not been paid to ...
Sakouvogui, Kekoura +3 more
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Stochastic Frontier Analysis with Maximum Entropy Estimation
2023Maximum entropy in the estimation of parameters in stochastic production frontier models could be an attractive procedure in economic efficiency analysis. In this work, the generalized maximum entropy and the generalized cross entropy estimators are reviewed and their implementation in the stochastic frontier analysis is discussed.
Macedo, Pedro +2 more
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Tourism forecast combination using the stochastic frontier analysis technique
Tourism Economics, 2020Forecast combination has received a great deal of attention in the tourism domain. In this article, we propose a novel performance-based tourism forecast combination model by applying a multiple-criteria decision-making framework and the stochastic ...
Ji Wu, Xian Cheng, S. Liao
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How efficient are Indian banks? An application of stochastic frontier analysis
Journal of Financial Economic PolicyPurpose This study aims to investigate the efficiency of Indian commercial banks from 2002 to 2018 using the stochastic frontier analysis. Design/methodology/approach This study uses the parametric approach of the stochastic frontier to examine the ...
Ahmad Shadab Khan +2 more
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, 2020
Purpose - The consistency of stochastic frontier analysis (SFA) and data envelopment analysis (DEA) cost efficiency measures using a sample of 650 commercial and domestic banks in the United States is investigated based on cluster analysis while ...
Kekoura Sakouvogui
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Purpose - The consistency of stochastic frontier analysis (SFA) and data envelopment analysis (DEA) cost efficiency measures using a sample of 650 commercial and domestic banks in the United States is investigated based on cluster analysis while ...
Kekoura Sakouvogui
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On the influence of model setting on stochastic frontier analysis
Mathematical methods in the applied sciences, 2020This article deals with the comparison of technical efficiency results through various stochastic frontier analysis models. Effects of model type, possible frontier shift, distribution of inefficiency term, different output variable, and estimator ...
Michaela Staňková, D. Hampel
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Distributional Forms in Stochastic Frontier Analysis
The Palgrave Handbook of Economic Performance Analysis, 2019A. Stead, P. Wheat, W. Greene
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