# Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions

@article{Charnes1985FoundationsOD, title={Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions}, author={Abraham Charnes and William W. Cooper and Boaz Golany and Lawrence M. Seiford and Joel David Stutz}, journal={Journal of Econometrics}, year={1985}, volume={30}, pages={91-107} }

## 1,566 Citations

Differential Characteristics of Efficient Frontiers in Data Envelopment Analysis

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This paper invoked the theorem of the directional derivative of the optimal value function and showed how this can be used to define and calculate the required elasticities without any simplifying assumptions, allowing to extend the known elasticity measures and introduce new ones to the entire efficient frontier in one single development.

Data Envelopment Analysis on a Relaxed Set of Assumptions

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Data Envelopment Analysis: Theory and Techniques for Economics and Operations Research

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1. Introduction and overview 2. Productivity, efficiency, and data envelopment analysis 3. Variable returns to scale: separating technical and scale efficiencies 4. Extensions to the basic DEA models…

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- Economics, SociologyOper. Res.
- 2020

A new method to measure economic inefficiency of decision making units based on the calculation of the least distance to the Pareto-efficient frontier in data envelopment analysis is proposed.

EXPUCIT CONSTRUCTION AND ANALYSIS OF SOME EFFICIENT EMPIRICAL PRODUCTION FUNCTIONS

- Economics

In contrast to classical econometric work which only tests data for consistency with a special class of production functions, new theory and explicit construction by Data Envelopment Analysis of the…

Determining rates of change in data envelopment

- Economics
- 1997

This paper presents a general method for determining rates of change of outputs with respect to inputs along efficient facets of the Pareto-optimal frontier common to several empirical production…

Mining Nonparametric Frontiers

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- 2007

This chapter deals with the extension of data envelopment analysis to the general problem of mining oriented outliers and claims new application domains for DEA by releasing it from these moorings.

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