Download Advanced Robust and Nonparametric Methods in Efficiency by Cinzia Daraio PDF

By Cinzia Daraio

ISBN-10: 0387351558

ISBN-13: 9780387351551

Supplying a scientific and accomplished remedy of modern advancements in potency research, this e-book makes to be had an intuitive but rigorous presentation of complex nonparametric and strong equipment, with purposes for the research of economies of scale and scope, trade-offs in construction and repair actions, and causes of potency differentials.

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Read or Download Advanced Robust and Nonparametric Methods in Efficiency Analysis: Methodology and Applications (Studies in Productivity and Efficiency) PDF

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Extra info for Advanced Robust and Nonparametric Methods in Efficiency Analysis: Methodology and Applications (Studies in Productivity and Efficiency)

Example text

Moving from x0 to x∂ (x0 |y0 ) along the ray θx0 . The projection of x0 on the efficient frontier is thus equal to x∂ (x0 |y0 ) = θ(x0 , y0 )x0 . For the output oriented case, the estimation is done, mutatis mutandis, following the previous steps. The output correspondence set is estimated by: P (x) = {y ∈ Rq+ |(x, y) ∈ ΨDEA } and ∂ P (x) denotes the estimator of the output frontier boundary for x. , n . 2 we display the DEA estimator and illustrate the concept of slacks through an example. , it could reduce x1 by one unit (from 4 to 3) moving from E to D.

A fuzzy pairwise dominance approach can be found in Triantis and Vanden Eeckaut (2000) where, a classification scheme that explicitly accounts for the degree of fuzziness (plausibility) of dominating units is reported. According to a classification proposed by Angulo-Meza and Pereira Estellita Lins (2002), the methods for increasing discrimination within efficient DMUs in a DEA setting can be classified into two groups: Methods with a priori information. In these methods, the information provided by a decision-maker or an expert about the importance of the variables can be introduced into the DEA models.

This is a framework generally adopted when the decision maker can control the inputs but has not the control of the outputs. For instance, this is the case of public enterprises which are committed to offer some public services and are interested in the management of the inputs, in the sense of their minimization. Alternatively, we can take into account the output space and look at the output correspondence set and its efficient boundary. The output oriented framework looks at maximize output levels under at most the present input consumption.

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