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Spatial Stochastic Frontier Models
2010The stochastic frontier model with heterogeneous technical efficiency_x000D_ explained by exogenous variables is augmented with a sparse spatial autoregressive component for a cross-section data, and a spatial-temporal component for a panel data.
Josef Yap +2 more
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A stochastic frontier regression model with dynamic frontier
Communications in Statistics - Simulation and Computation, 2020We consider a stochastic frontier regression model with a time dependent efficiency process, which is assumed to follow an exponential autoregressive sequence.
T. V. Ramanathan +2 more
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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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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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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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