An Information Theoretic Approach to Econometrics

An Information Theoretic Approach to Econometrics PDF Author:
Publisher:
ISBN: 9781139217460
Category :
Languages : en
Pages :

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Book Description

An Information Theoretic Approach to Econometrics

An Information Theoretic Approach to Econometrics PDF Author:
Publisher:
ISBN: 9781139217460
Category :
Languages : en
Pages :

Get Book

Book Description


Information Theoretic Approach to Econometrics

Information Theoretic Approach to Econometrics PDF Author: George G. Judge
Publisher:
ISBN: 9781139223980
Category : Econometrics
Languages : en
Pages : 249

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Book Description
This book is intended to provide the reader with a firm conceptual and empirical understanding of basic information-theoretic econometric models and methods. Because most data are observational, practitioners work with indirect noisy observations and ill-posed econometric models in the form of stochastic inverse problems. Consequently, traditional econometric methods in many cases are not applicable for answering many of the quantitative questions that analysts wish to ask. After initial chapters deal with parametric and semiparametric linear probability models, the focus turns to solving nonparametric stochastic inverse problems. In succeeding chapters, a family of power divergence measure likelihood functions are introduced for a range of traditional and nontraditional econometric-model problems. Finally, within either an empirical maximum likelihood or loss context, Ron C. Mittelhammer and George G. Judge suggest a basis for choosing a member of the divergence family.

An Information Theoretic Approach to Econometrics

An Information Theoretic Approach to Econometrics PDF Author: George G. Judge
Publisher: Cambridge University Press
ISBN: 1139502492
Category : Business & Economics
Languages : en
Pages : 249

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Book Description
This book is intended to provide the reader with a firm conceptual and empirical understanding of basic information-theoretic econometric models and methods. Because most data are observational, practitioners work with indirect noisy observations and ill-posed econometric models in the form of stochastic inverse problems. Consequently, traditional econometric methods in many cases are not applicable for answering many of the quantitative questions that analysts wish to ask. After initial chapters deal with parametric and semiparametric linear probability models, the focus turns to solving nonparametric stochastic inverse problems. In succeeding chapters, a family of power divergence measure-likelihood functions are introduced for a range of traditional and nontraditional econometric-model problems. Finally, within either an empirical maximum likelihood or loss context, Ron C. Mittelhammer and George G. Judge suggest a basis for choosing a member of the divergence family.

Information and Entropy Econometrics

Information and Entropy Econometrics PDF Author: Amos Golan
Publisher: Now Publishers Inc
ISBN: 160198104X
Category : Business & Economics
Languages : en
Pages : 167

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Book Description
Information and Entropy Econometrics - A Review and Synthesis summarizes the basics of information theoretic methods in econometrics and the connecting theme among these methods. The sub-class of methods that treat the observed sample moments as stochastic is discussed in greater details. I Information and Entropy Econometrics - A Review and Synthesis -focuses on inter-connection between information theory, estimation and inference. -provides a detailed survey of information theoretic concepts and quantities used within econometrics and then show how these quantities are used within IEE. -pays special attention for the interpretation of these quantities and for describing the relationships between information theoretic estimators and traditional estimators. Readers need a basic knowledge of econometrics, but do not need prior knowledge of information theory. The survey is self contained and interested readers can replicate all results and examples provided. Whenever necessary the readers are referred to the relevant literature. Information and Entropy Econometrics - A Review and Synthesis will benefit researchers looking for a concise introduction to the basics of IEE and to acquire the basic tools necessary for using and understanding these methods. Applied researchers can use the book to learn improved new methods, and applications for extracting information from noisy and limited data and for learning from these data.

An Introduction to Econometric Theory

An Introduction to Econometric Theory PDF Author: A. Ronald Gallant
Publisher: Princeton University Press
ISBN: 0691016453
Category : Business & Economics
Languages : en
Pages : 213

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Book Description
Intended primarily to prepare first-year graduate students for their ongoing work in econometrics, economic theory, and finance, this innovative book presents the fundamental concepts of theoretical econometrics, from measure-theoretic probability to statistics. A. Ronald Gallant covers these topics at an introductory level and develops the ideas to the point where they can be applied. He thereby provides the reader not only with a basic grasp of the key empirical tools but with sound intuition as well. In addition to covering the basic tools of empirical work in economics and finance, Gallant devotes particular attention to motivating ideas and presenting them as the solution to practical problems. For example, he presents correlation, regression, and conditional expectation as a means of obtaining the best approximation of one random variable by some function of another. He considers linear, polynomial, and unrestricted functions, and leads the reader to the notion of conditioning on a sigma-algebra as a means for finding the unrestricted solution. The reader thus gains an understanding of the relationships among linear, polynomial, and unrestricted solutions. Proofs of results are presented when the proof itself aids understanding or when the proof technique has practical value. A major text-treatise by one of the leading scholars in this field, An Introduction to Econometric Theory will prove valuable not only to graduate students but also to all economists, statisticians, and finance professionals interested in the ideas and implications of theoretical econometrics.

Uncertainty Analysis in Econometrics with Applications

Uncertainty Analysis in Econometrics with Applications PDF Author: Van-Nam Huynh
Publisher: Springer Science & Business Media
ISBN: 3642354432
Category : Technology & Engineering
Languages : en
Pages : 319

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Book Description
Unlike uncertain dynamical systems in physical sciences where models for prediction are somewhat given to us by physical laws, uncertain dynamical systems in economics need statistical models. In this context, modeling and optimization surface as basic ingredients for fruitful applications. This volume concentrates on the current methodology of copulas and maximum entropy optimization. This volume contains main research presentations at the Sixth International Conference of the Thailand Econometrics Society held at the Faculty of Economics, Chiang Mai University, Thailand, during January 10-11, 2013. It consists of keynote addresses, theoretical and applied contributions. These contributions to Econometrics are somewhat centered around the theme of Copulas and Maximum Entropy Econometrics. The method of copulas is applied to a variety of economic problems where multivariate model building and correlation analysis are needed. As for the art of choosing copulas in practical problems, the principle of maximum entropy surfaces as a potential way to do so. The state-of-the-art of Maximum Entropy Econometrics is presented in the first keynote address, while the second keynote address focusses on testing stationarity in economic time series data.

Information Theory and Statistical Learning

Information Theory and Statistical Learning PDF Author: Frank Emmert-Streib
Publisher: Springer Science & Business Media
ISBN: 0387848150
Category : Computers
Languages : en
Pages : 443

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Book Description
This interdisciplinary text offers theoretical and practical results of information theoretic methods used in statistical learning. It presents a comprehensive overview of the many different methods that have been developed in numerous contexts.

Economics and Information Theory

Economics and Information Theory PDF Author: Henri Theil
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 520

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Book Description
Theoretical study of the methodology of information forecasting in applied economics - covers statistical methods, research methods, etc. Bibliography pp. 423 to 427.

Econometric Foundations Pack with CD-ROM

Econometric Foundations Pack with CD-ROM PDF Author: Ron Mittelhammer (Prof.)
Publisher: Cambridge University Press
ISBN: 9780521623940
Category : Business & Economics
Languages : en
Pages : 794

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Book Description
The text and accompanying CD-ROM develop step by step a modern approach to econometric problems. They are aimed at talented upper-level undergraduates, graduate students, and professionals wishing to acquaint themselves with the pinciples and procedures for information processing and recovery from samples of economic data. The text fully provides an operational understanding of a rich set of estimation and inference tools, including tradional likelihood based and non-traditional non-likelihood based procedures, that can be used in conjuction with the computer to address economic problems.

Papers in ITJEMAST 11(7) 2020

Papers in ITJEMAST 11(7) 2020 PDF Author:
Publisher: International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies
ISBN:
Category : Technology & Engineering
Languages : en
Pages :

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Book Description
International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies publishes a wide spectrum of research and technical articles as well as reviews, experiments, experiences, modelings, simulations, designs, and innovations from engineering, sciences, life sciences, and related disciplines as well as interdisciplinary/cross-disciplinary/multidisciplinary subjects. Original work is required. Article submitted must not be under consideration of other publishers for publications.