Econometrics Of Information And Efficiency
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Econometrics of Information and Efficiency
Author: Jati Sengupta
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-03-14
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.
Information and Efficiency in Economic Decision
Author: Jati Sengupta
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
Use of information is basic to economic theory in two ways. As a basis for optimization, it is central to all normative hypotheses used in eco nomics, but in decision-making situations it has stochastic and evolution ary aspects that are more dynamic and hence more fundamental. This book provides an illustrative survey of the use of information in econom ics and other decision sciences. Since this area is one of the most active fields of research in modern times, it is not possible to be definitive on all aspects of the issues involved. However questions that appear to be most important in this author's view are emphasized in many cases, without drawing any definite conclusions. It is hoped that these questions would provoke new interest for those beginning researchers in the field who are currently most active. Various classifications of information structures and their relevance for optimal decision-making in a stochastic environment are analyzed in some detail. Specifically the following areas are illustrated in its analytic aspects: 1. Stochastic optimization in linear economic models, 2. Stochastic models in dynamic economics with problems of time-inc- sistency, causality and estimation, 3. Optimal output-inventory decisions in stochastic markets, 4. Minimax policies in portfolio theory, 5. Methods of stochastic control and differential games, and 6. Adaptive information structures in decision models in economics and the theory of economic policy.
Econometric Analysis of Weak Form of Market Efficiency
Econometric Analysis of Weak Form of Market Efficiency This book "Econometric Analysis of Weak Form of Market Efficiency" is an outcome of doctoral research work carried out on a large amount of stock market data using MATLAB software. It is a unique study wherein a battery of econometric tests has been applied to test the Indian stock market's weak form efficiency. This book consists of 6 chapters describing the concepts of market efficiency, econometric analysis and outcomes of the study. Each chapter deals with complex mathematical terminology in lucid and simple language for better understanding. This books aims at providing advance knowledge to the researches for application of econometric techniques to ascertain market efficiency. However, at the same time it is useful as a practical guide to the graduate / post graduate students of management, economics, and securities markets and engineering for carrying out desk research using MATLAB handling large amount of secondary data. The research outcomes are expected to be guiding force to investors, academicians, researchers in many ways wherein this work can further be extended.