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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.
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Críticas
`I would recommend it highly to graduate students and researchers who are engaged in information-based economics.'
The Statistician, 44:2, 1995
Reseña del editor
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.
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Econometrics of information and efficiency.
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Econometrics of Information and Efficiency (Theory and Decision Library B)
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Hardcover. Zustand: Fine. First Edition. Still in publisher's shrink wrap. Unread. No DJ. 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. Bestandsnummer des Verkäufers 3001376
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Econometrics of Information and Efficiency
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Gebunden. Zustand: 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. Bestandsnummer des Verkäufers 5966833
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Econometrics of Information and Efficiency
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Springer Netherlands, Springer Netherlands Jul 1993, 1993
ISBN 10: 079232353X
ISBN 13: 9780792323532
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Buch. Zustand: Neu. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 272 pp. Englisch. Bestandsnummer des Verkäufers 9780792323532
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Econometrics of Information and Efficiency
Verlag:
Springer Netherlands Jul 1993, 1993
ISBN 10: 079232353X
ISBN 13: 9780792323532
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Buch. Zustand: 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. Bestandsnummer des Verkäufers 9780792323532
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Econometrics of Information and Efficiency
Verlag:
Springer Netherlands, Springer Netherlands, 1993
ISBN 10: 079232353X
ISBN 13: 9780792323532
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Buch. Zustand: 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. Bestandsnummer des Verkäufers 9780792323532
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Econometrics of Information and Efficiency (Theory and Decision Library B, 25)
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Econometrics of Information and Efficiency
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