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Causal Inference in Econometrics, Van-Nam Huynh; Vladik Kreinovich; Songsak Sriboonc


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Автор: Van-Nam Huynh; Vladik Kreinovich; Songsak Sriboonc
Название:  Causal Inference in Econometrics
ISBN: 9783319272832
Издательство: Springer
Классификация:
ISBN-10: 3319272837
Обложка/Формат: Hardcover
Страницы: 638
Вес: 1.14 кг.
Дата издания: 06.01.2016
Серия: Studies in Computational Intelligence
Язык: English
Издание: 2016 ed.
Иллюстрации: 91 black & white illustrations, 15 colour illustrations, biography
Размер: 234 x 156 x 35
Читательская аудитория: Professional & vocational
Основная тема: Computational Intelligence
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This bookis devoted to the analysis of causal inference which is one of the most difficult tasks in dataanalysis: when two phenomena are observed to be related, it is often difficultto decide whether one of them causally influences the other one, or whetherthese two phenomena have a common cause.


Methods for estimation and inference in modern econometrics

Автор: Anatolyev, Stanislav Gospodinov, Nikolay
Название: Methods for estimation and inference in modern econometrics
ISBN: 1439838240 ISBN-13(EAN): 9781439838242
Издательство: Taylor&Francis
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Цена: 15312.00 р.
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Описание:

Methods for Estimation and Inference in Modern Econometrics provides a comprehensive introduction to a wide range of emerging topics, such as generalized empirical likelihood estimation and alternative asymptotics under drifting parameterizations, which have not been discussed in detail outside of highly technical research papers. The book also addresses several problems often arising in the analysis of economic data, including weak identification, model misspecification, and possible nonstationarity. The book's appendix provides a review of some basic concepts and results from linear algebra, probability theory, and statistics that are used throughout the book.





Topics covered include:







  • Well-established nonparametric and parametric approaches to estimation and conventional (asymptotic and bootstrap) frameworks for statistical inference


  • Estimation of models based on moment restrictions implied by economic theory, including various method-of-moments estimators for unconditional and conditional moment restriction models, and asymptotic theory for correctly specified and misspecified models


  • Non-conventional asymptotic tools that lead to improved finite sample inference, such as higher-order asymptotic analysis that allows for more accurate approximations via various asymptotic expansions, and asymptotic approximations based on drifting parameter sequences






Offering a unified approach to studying econometric problems, Methods for Estimation and Inference in Modern Econometrics links most of the existing estimation and inference methods in a general framework to help readers synthesize all aspects of modern econometric theory. Various theoretical exercises and suggested solutions are included to facilitate understanding.

Simplicity, Inference and Modelling

Автор: Arnold Zellner, Hugo A. Keuzenkamp, Michael McAleer
Название: Simplicity, Inference and Modelling
ISBN: 0521121353 ISBN-13(EAN): 9780521121354
Издательство: Cambridge Academ
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Цена: 6653.00 р.
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Описание: The idea that simplicity matters in science is as old as science itself, with the much cited example of Ockham`s Razor, `entia non sunt multiplicanda praeter necessitatem`: entities are not to be multiplied beyond necessity. Using a multidisciplinary perspective this 2002 monograph asks `What is meant by simplicity?`

Econometric Model Specification: Consistent Model Specification Tests And Semi-Nonparametric Modeling And Inference

Автор: Bierens Herman J
Название: Econometric Model Specification: Consistent Model Specification Tests And Semi-Nonparametric Modeling And Inference
ISBN: 9814740500 ISBN-13(EAN): 9789814740500
Издательство: World Scientific Publishing
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Цена: 32472.00 р.
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Описание: Econometric Model Specification reviews and extends the studies on consistent model specification testing and semi-nonparametric modeling and inference.

Simulation-based Inference in Econometrics

Автор: Mariano, Roberto S.
Название: Simulation-based Inference in Econometrics
ISBN: 052108802X ISBN-13(EAN): 9780521088022
Издательство: Cambridge Academ
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Цена: 6970.00 р.
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Описание: Simulation-based inference (SBI) is the fastest growing area of research in modern econometrics. This substantial international volume provides an overview of the applications and techniques at the cutting edge of the subject as well as providing a comprehensive survey of the existing literature.

Fundamentals of Nonparametric Bayesian Inference

Автор: Ghosal, Subhashis.
Название: Fundamentals of Nonparametric Bayesian Inference
ISBN: 0521878268 ISBN-13(EAN): 9780521878265
Издательство: Cambridge Academ
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Цена: 12989.00 р.
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Описание: Written by top researchers, this self-contained text is the authoritative account of Bayesian nonparametrics, a nearly universal framework for inference in statistics and machine learning, with practical use in all areas of science, including economics and biostatistics. Appendices with prerequisites and numerous exercises support its use for graduate courses.

Concise Introduction to Statistical Inference

Автор: Thijssen Jacco
Название: Concise Introduction to Statistical Inference
ISBN: 1498755771 ISBN-13(EAN): 9781498755771
Издательство: Taylor&Francis
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Цена: 9645.00 р.
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Описание:

This short book introduces the main ideas of statistical inference in a way that is both user friendly and mathematically sound. Particular emphasis is placed on the common foundation of many models used in practice. In addition, the book focuses on the formulation of appropriate statistical models to study problems in business, economics, and the social sciences, as well as on how to interpret the results from statistical analyses.

The book will be useful to students who are interested in rigorous applications of statistics to problems in business, economics and the social sciences, as well as students who have studied statistics in the past, but need a more solid grounding in statistical techniques to further their careers.

Jacco Thijssen is professor of finance at the University of York, UK. He holds a PhD in mathematical economics from Tilburg University, Netherlands. His main research interests are in applications of optimal stopping theory, stochastic calculus, and game theory to problems in economics and finance. Professor Thijssen has earned several awards for his statistics teaching.

Probability Theory and Statistical Inference

Название: Probability Theory and Statistical Inference
ISBN: 0521424089 ISBN-13(EAN): 9780521424080
Издательство: Cambridge Academ
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Цена: 7285.00 р.
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Описание: This major new textbook from a distinguished econometrician is intended for students taking introductory courses in probability theory and statistical inference. No prior knowledge other than a basic familiarity with descriptive statistics is assumed. The primary objective of this book is to establish the framework for the empirical modelling of observational (non-experimental) data. This framework known as 'Probabilistic Reduction' is formulated with a view to accommodating the peculiarities of observational (as opposed to experimental) data in a unifying and logically coherent way. Probability Theory and Statistical Inference differs from traditional textbooks in so far as it emphasizes concepts, ideas, notions and procedures which are appropriate for modelling observational data. Aimed at students at second-year undergraduate level and above studying econometrics and economics, this textbook will also be useful for students in other disciplines which make extensive use of observational data, including finance, biology, sociology and psychology and climatology.

Econometric Modeling and Inference

Автор: Jean-Pierre Florens
Название: Econometric Modeling and Inference
ISBN: 052170006X ISBN-13(EAN): 9780521700061
Издательство: Cambridge Academ
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Цена: 6493.00 р.
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Описание: For over 20 years, James Herriot has captivated millions of readers and viewers with his tales of the triumphs, disasters, pride and heartache that filled his life as a vet in the Yorkshire Dales. Once again the storytelling magic shines through in this long-awaited addition to the series. A major lead title backed by advertising in four major daily newspapers and colour ads in Radio Times and selected magazines. BA CATALOGUE.

Accounting and Causal Effects

Автор: Douglas A Schroeder
Название: Accounting and Causal Effects
ISBN: 1461426510 ISBN-13(EAN): 9781461426516
Издательство: Springer
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Цена: 30606.00 р.
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Описание: Accounting and Causal Effects builds on econometric foundations to address challenging accounting issues. These include linear, discrete choice, and nonparametric regression models, characterized by microeconomic fundamentals and equilibrium reporting choices.


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