Advanced Robust and Nonparametric Methods in Efficiency by Cinzia Daraio PDF

By Cinzia Daraio

ISBN-10: 0387351558

ISBN-13: 9780387351551

Supplying a scientific and complete remedy of contemporary advancements in potency research, this booklet makes to be had an intuitive but rigorous presentation of complex nonparametric and strong equipment, with functions 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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Extra info for Advanced Robust and Nonparametric Methods in Efficiency Analysis: Methodology and Applications (Studies in Productivity and Efficiency)

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N . e. 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.

EA5 implies EA6. A further characterization of the shape of the frontier relates to returns to scale (RTS). According to a standard definition in economics, RTS express the relation between a proportional change in inputs to a productive process and the resulting proportional change in output. If an n per cent rise in all inputs produces an n per cent increase in output, there are constant returns to scale (CRS). If output rises by a larger percentage than inputs, there are increasing returns to scale (IRS).

An alternative to this approach is given by a fuzzy programming approach to DEA and FDH efficiency measurement. There is an increasing number of studies that apply the fuzzy set theory in productivity and efficiency contexts. In some production studies, the data that describe the production process cannot be collected accurately due to the fact that measurement systems have not been originally designated for the pur- 12 See also Lovell (2001) and Fried, Lovell and Schmidt (2006) for a presentation of some recent fruitful research areas introduced in parametric and nonparametric approaches to efficiency analysis.

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Advanced Robust and Nonparametric Methods in Efficiency Analysis: Methodology and Applications (Studies in Productivity and Efficiency) by Cinzia Daraio


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