By Cinzia Daraio
Providing a scientific and entire therapy of contemporary advancements in potency research, this readable publication makes on hand an intuitive but rigorous presentation of complicated nonparametric and strong tools. this versatile toolbox can be utilized in theories in response to the neoclassical conception of construction and its choices, together with evolutionary theories. The equipment are complemented by means of empirical research of 3 various fiscal fields: medical learn, mutual money and the assurance area. The examine demonstrates the application of the toolbox for a variety of financial concerns, together with the research of economies of scale and scope, dynamics of age and agglomeration results, trade-offs in creation and repair actions, and reasons of potency differentials. Of curiosity to utilized economists greatly, this publication may also be of curiosity to these thinking about Operations study and/or administration Science.
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Additional resources for Advanced Robust and Nonparametric Methods in Efficiency Analysis: Methodology and Applications
A survey of the theoretical and empirical work on Malmquist productivity indices can be found in F¨are, Grosskopf and Russell (1998). On the theoretical side the survey includes a number of issues that have arisen since the Malmquist productivity index was proposed by Caves, Christensen and Diewert A taxonomy of efficient frontier models 29 (1982). These issues include the definition of the Malmquist productivity index; although all are based on the distance functions that Malmquist employed to formulate his original quantity index, variations include the geometric mean form used by F¨are, Grosskopf, Lindgren and Roos (1989) and the quantity index form by Diewert (1992).
G. cost minimization) hypothesis. These tools, originally proposed as screening devices to check for data accuracy, provide also guidance in the selection of parametric functional forms as well as procedures useful to construct frontiers and measure efficiency. The problem of nonparametric exploration of regularity conditions and behavioral objectives has been treated also by Chavas and Cox (1988, 1990), Ray (1991), and Ray and Bhadra (1993). Some works have indirectly influenced the development of the efficiency and productivity analysis.
Multiple objective approach. A Multiple Criteria Data Envelopment Analysis has been proposed by Li and Reeves (1999) to solve the problems of lack of discrimination and inappropriate weighting schemes in traditional DEA. Extensions to the basic DEA Models Directional distance functions have been introduced by Chambers, Chung and F¨are, (1996) and are based on Luenberger (1992) benefit functions. These functions represent a kind of generalization of the traditional distance functions. Their application leads to measures of technical efficiency from the potential for increasing outputs while reducing inputs at the same time.
Advanced Robust and Nonparametric Methods in Efficiency Analysis: Methodology and Applications by Cinzia Daraio