Operations Research

Advanced Robust and Nonparametric Methods in Efficiency by Cinzia Daraio PDF

By Cinzia Daraio

ISBN-10: 0387351558

ISBN-13: 9780387351551

Providing a scientific and finished therapy of contemporary advancements in potency research, this readable e-book makes on hand an intuitive but rigorous presentation of complex nonparametric and powerful tools. this versatile toolbox can be utilized in theories in line with the neoclassical thought of construction and its choices, together with evolutionary theories. The equipment are complemented by means of empirical research of 3 varied fiscal fields: medical study, mutual money and the coverage quarter. The learn demonstrates the application of the toolbox for a variety of fiscal matters, together with the research of economies of scale and scope, dynamics of age and agglomeration results, trade-offs in creation and repair actions, and causes of potency differentials. Of curiosity to utilized economists extensively, this ebook may also be of curiosity to these interested by Operations learn and/or administration Science.

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Extra info for Advanced Robust and Nonparametric Methods in Efficiency Analysis: Methodology and Applications

Example text

Coelli, Rao and Battese (1998) and Thanassoulis (2001). criteria follow Simar and Wilson (2006b), where a comprehensive statistical approach is described. 10 The curse of dimensionality, shared by many nonparametric methods, means that to avoid large variances and wide confidence interval estimates a large quantity of data is needed. 1. An overview of the literature on efficient frontier estimation. e. , n. The main weakness of this approach is the sensitivity to “super-efficient” outliers. Robust estimators are able to overcome this drawback.

6 Analogous expressions hold in terms of P (x): ∀α > 0, P (αx) = αP (x). t. x ∈ ∂C(y) are characterized by C(αy) = αC(y) for some α > 0. t. x ∈ ∂C(y) implies that (αx, αy) ∈ Ψ for α < 1. t. x ∈ ∂C(y) implies that (αx, αy) ∈ Ψ for α > 1. A frontier that exhibits increasing, constant and decreasing returns to scale in different regions is a Variable Returns to Scale (VRS) frontier. The assumptions we have introduced here are intended to provide enough structure to create meaningful and useful technologies.

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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Advanced Robust and Nonparametric Methods in Efficiency Analysis: Methodology and Applications by Cinzia Daraio


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