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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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Efficiency Measurement Using Stochastic Frontiers
1998DEA and stochastic frontiers are two alternative methods for estimating frontier functions and thereby measuring efficiency of production. DEA involves the use of linear programming whereas stochastic frontiers involve the use of econometric methods.
Tim Coelli +2 more
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ปัจจัยกำหนดประสิทธิภาพของธนาคารพาณิชย์ไทยโดยแบบจำลอง STOCHASTIC FRONTIER
วิทยานิพนธ์ฉบับนี้มีจุดประสงค์ เพื่อศึกษาถึงความมีประสิทธิภาพของธนาคารพาณิชย์ไทย โดยในการศึกษาแบ่งเป็น 2 ส่วน คือ ศึกษาประสิทธิภาพของธนาคารพาณิชย์ในด้านการสร้างมูลค่า โดยใช้แนวคิดแบบ STOCHASTIC FRONTIER ANALYSIS ในส่วนที่สองคือการศึกษาปัจจัยกำหนดความมีประสิทธิภาพโดยประมาณการโดยแบบจำลอง FIXED EFFECT และใช้ข้อมูลของธนาคารพาณิชย์ไทยจำนวน 13 ธนาคารระหว่างปีopenaire +1 more source
Additional Topics on Stochastic Frontiers
1998The discussion in Chapter 8 focused upon a stochastic frontier model with the following characteristics: the technical inefficiency effects, ui, had half-normal distribution; it specified a Cobb-Douglas functional form; it was a production function; and it involved cross-sectional data.
Tim Coelli +2 more
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Stochastic Frontiers using Stata
2013This paper describes sfcross and sfpanel, two new Stata commands for the estimation of cross-sectional and panel data stochastic frontier models. sfcross extends the ocial frontier capabilities by including additional models (Greene 2003; Wang 2002) and command functionality, such as the possibility to manage complex survey data characteristics ...
BELOTTI, FEDERICO +3 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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Spatial stochastic frontier models
2017Stochastic frontier models are one of the most frequently used approaches for estimating production function parameters and individual levels of inefficiency. It is a parametric approach and therefore depends heavily on the distribution assumptions of errors in the model.
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