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Econometrics of Information and Efficiency

  • Jati K. Sengupta

Part of the Theory and Decision Library book series (TDLB, volume 25)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Jati K. Sengupta
    Pages 1-12
  3. Jati K. Sengupta
    Pages 13-70
  4. Jati K. Sengupta
    Pages 71-105
  5. Jati K. Sengupta
    Pages 160-229
  6. Jati K. Sengupta
    Pages 230-245
  7. Back Matter
    Pages 246-258

About this book

Introduction

Econometrics as an applied discipline attempts to use information in a most efficient manner, yet the information theory and entropy approach developed by Shannon and others has not played much of a role in applied econometrics. Econometrics of Information and Efficiency bridges the gap.
Broadly viewed, information theory analyzes the uncertainty of a given set of data and its probabilistic characteristics. Whereas the economic theory of information emphasizes the value of information to agents in a market, the entropy theory stresses the various aspects of imprecision of data and their interactions with the subjective decision processes. The tools of information theory, such as the maximum entropy principle, mutual information and the minimum discrepancy are useful in several areas of statistical inference, e.g., Bayesian estimation, expected maximum likelihood principle, the fuzzy statistical regression. This volume analyzes the applications of these tools of information theory to the most commonly used models in econometrics.
The outstanding features of Econometrics of Information and Efficiency are:
  • A critical survey of the uses of information theory in economics and econometrics;
  • An integration of applied information theory and economic efficiency analysis;
  • The development of a new economic hypothesis relating information theory to economic growth models;
  • New lines of research are emphasized.

Keywords

agents control theory econometrics economics efficiency entropy information theory integration regression statistical inference

Authors and affiliations

  • Jati K. Sengupta
    • 1
  1. 1.University of CaliforniaUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-015-8202-5
  • Copyright Information Springer Science+Business Media B.V. 1993
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-90-481-4288-0
  • Online ISBN 978-94-015-8202-5
  • Buy this book on publisher's site