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Stochastic Frontier Analysis SFA
2010As explained in Chap. 1, there are two dominant approaches to modern benchmarking. One is the non-parametric, deterministic DEA approach discussed in some detail in the last three chapters; other is the stochastic frontier analysis (SFA), which we will cover in this and the next chapter.
Peter Bogetoft, Lars Otto
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Bounded rationality and thick frontiers in stochastic frontier analysis
European Journal of Operational Research, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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2018
Distance, revenue, cost and profit functions can always be written in the form of regression models with unobserved error terms representing statistical noise and different types of inefficiency. In practice, the noise components are almost always assumed to be random variables (i.e., stochastic).
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Distance, revenue, cost and profit functions can always be written in the form of regression models with unobserved error terms representing statistical noise and different types of inefficiency. In practice, the noise components are almost always assumed to be random variables (i.e., stochastic).
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Efisiensi Perusahaan Pertambangan : Metode Stochastic Frontier Analysis
Jurnal Karya Ilmiah Multidisiplin (JURKIM), 2022Tujuan dari penelitian ini adalah untuk menguji pengaruh profitabilitas, Likuiditas, leverage, dan ukuran perusahaan terhadap pengungkapan corporate social responbility (CSR). CSR diukur dengan menggunakan data dari Global Reporting Initiative (GRI). Profitabilitas diukur dengan menggunakan Return On Asset (ROA), Likuiditas diukur menggunakan Debt to ...
Beneditta Siburian +2 more
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2015
The stochastic frontier analysis is an econometric approach to efficiency measurement. The basic idea is the introduction of two error components, a random error term and an inefficiency term. For both terms, a distributional assumption is made, which facilitates maximum likelihood estimation.
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The stochastic frontier analysis is an econometric approach to efficiency measurement. The basic idea is the introduction of two error components, a random error term and an inefficiency term. For both terms, a distributional assumption is made, which facilitates maximum likelihood estimation.
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The wrong skewness problem in stochastic frontier analysis: a review
Journal of Productivity Analysis, 2023A. Papadopoulos, Christopher F. Parmeter
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, 2019
The expanding of market-oriented reforms (MORs) over the past 40 years has provided steady momentum for China’s rapid economic growth. Based on the balanced panel data of 28 Chinese provinces from 1985–2015, an empirical analysis using stochastic ...
Xiude Chen +3 more
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The expanding of market-oriented reforms (MORs) over the past 40 years has provided steady momentum for China’s rapid economic growth. Based on the balanced panel data of 28 Chinese provinces from 1985–2015, an empirical analysis using stochastic ...
Xiude Chen +3 more
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STOCHASTIC FRONTIER ANALYSIS OF SINGAPORE MANUFACTURING INDUSTRIES
The Singapore Economic Review, 2004Previous papers on Singapore manufacturing productivity have focused almost exclusively on total factor productivity (TFP) growth rates and ignored the problem of measuring the extent of learning-by-doing. In this paper, we examine an alternative measure: the rate of technical efficiency change. Using data from 1974–1998, a translog production frontier
SOO-WEI KOH +2 more
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Panel Data Stochastic Frontier Analysis
2015Stochastic frontier analysis based on cross-sectional data is hampered by the fact that only one observation is available for the estimation of two error components. Panel data containing several observations for each firm considerably improve the situation for estimating firm specific efficiency scores if some assumptions on the time path of ...
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