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Synopsis
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.
"synopsis" may belong to another edition of this title.
Review
`I would recommend it highly to graduate students and researchers who are engaged in information-based economics.'
The Statistician, 44:2, 1995
"About this title" may belong to another edition of this title.
- PublisherSpringer
- Publication date1993
- ISBN 10 079232353X
- ISBN 13 9780792323532
- BindingHardcover
- Number of pages268
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Econometrics of Information and Efficiency
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ISBN 13: 9780792323532
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 272 pp. Englisch. Seller Inventory # 9780792323532
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 Infor. Seller Inventory # 5966833
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9780792323532
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Econometrics of Information and Efficiency
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ISBN 13: 9780792323532
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Condition: New. Econometrics as an applied discipline attempts to use information in an efficient manner, yet the information theory and entropy approach has not played much of a role in applied econometrics. This volume analyzes the applications of the tools of information theory to the commonly used models in econometrics. Series: Theory and Decision Library B. Num Pages: 258 pages, biography. BIC Classification: KCA; KCH. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 240 x 161 x 20. Weight in Grams: 592. . 1993. Hardback. . . . . Seller Inventory # V9780792323532
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Econometrics of Information and Efficiency
Published by
Kluwer Academic Publishers, 1993
ISBN 10: 079232353X
ISBN 13: 9780792323532
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Hardcover
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Condition: New. Econometrics as an applied discipline attempts to use information in an efficient manner, yet the information theory and entropy approach has not played much of a role in applied econometrics. This volume analyzes the applications of the tools of information theory to the commonly used models in econometrics. Series: Theory and Decision Library B. Num Pages: 258 pages, biography. BIC Classification: KCA; KCH. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 240 x 161 x 20. Weight in Grams: 592. . 1993. Hardback. . . . . Books ship from the US and Ireland. Seller Inventory # V9780792323532
Quantity: 15 available