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Efficiency Analysis by Production Frontiers the Nonparametric Approach

  • Jati K. Sengupta

Part of the Theory and Decision Library book series (TDLB, volume 12)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Jati K. Sengupta
    Pages 1-38
  3. Jati K. Sengupta
    Pages 39-92
  4. Jati K. Sengupta
    Pages 93-135
  5. Jati K. Sengupta
    Pages 136-179
  6. Jati K. Sengupta
    Pages 180-223
  7. Jati K. Sengupta
    Pages 224-241
  8. Back Matter
    Pages 242-247

About this book

Introduction

Measuring productive efficiency for nonprofit organizations has posed a great challenge to applied researchers today. The problem has many facets and diverse implications for a number of disciplines such as economics, applied statistics, management science and information theory. This monograph discusses four major areas, which emphasize the applied economic and econometric as. pects of the production frontier analysis: A. Stochastic frontier theory, B. Data envelopment analysis, C. Clustering and estimation theory, D. Economic and managerial applications Besides containing an up-to-date survey of the mos. t recent developments in the field, the monograph presents several new results and theorems from my own research. These include but are not limited to the following: (1) interface with parametric theory, (2) minimax and robust concepts of production frontier, (3) game-theoretic extension of the Farrell and Johansen models, (4) optimal clustering techniques for data envelopment analysis and (5) the dynamic and stochastic generalizations of the efficiency frontier at the micro and macro levels. In my research work in this field I have received great support and inspiration from Professor Abraham Charnes of the University of Texas at Austin, who has basically founded the technique of data envelopment analysis, developed it and is still expanding it. My interactions with him have been most fruitful and productive. I am deeply grateful to him. Finally, I must record my deep appreciation to my wife and two children for their loving and enduring support. But for their support this work would not have been completed.

Keywords

Data Envelopment Analysis Stochastic Programming calculus data envelopment econometrics information theory operations research

Authors and affiliations

  • Jati K. Sengupta
    • 1
  1. 1.University of CaliforniaSanta BarbaraUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-009-2645-5
  • Copyright Information Springer Science+Business Media B.V. 1989
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-94-010-7694-4
  • Online ISBN 978-94-009-2645-5
  • Buy this book on publisher's site