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Titlebook: Efficiency Analysis by Production Frontiers; The Nonparametric Ap Jati K. Sengupta Book 1989 Kluwer Academic Publishers 1989 Data Envelopme

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Betreuung von dementen Menschen,s more important in dynamic contexts than so far recognized. Our objective in this chapter is to present a broad overview of the recent developments in the nonparametric approach to measuring and estimating efficiency through production frontiers.
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Efficiency Analysis in Production,s more important in dynamic contexts than so far recognized. Our objective in this chapter is to present a broad overview of the recent developments in the nonparametric approach to measuring and estimating efficiency through production frontiers.
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Efficiency Analysis in Production,enges for the economists. These challenges are at several levels: (1) a nonparametric class of approaches has been proposed against production functions or production frontiers which are usually specified in parametric forms e.g., Cobb-Douglas functions, (2) the econometric estimation of efficiency
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Interface with Parametric Theory, econometric estimation. Although the linear programming (LP) specification was used by both Farrell, Johansen and the founders of the DEA model, one could certainly use nonlinear and parametric specifications for the frontier functions.
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Implications of Nonparametric Theory,ng, the DEA model through its envelopment of data provides an optimal method of clustering or aggregation. The DEA model has been generalized in recent times to include the categorical (i.e., zero-one) variable as inputs and outputs and also ordinal relations among the multipliers. The latter is clo
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Applications of Nonparametric Theory,arted the nonparametric approach in the context of agricultural production data, the data envelopment analysis (DEA) initiated it as a tool for evaluating managerial efficiency. Since it has shadow price implications, it has important role in resource allocation models for economic development and i
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