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Econometrics of Planning and Efficiency, Jati Sengupta; Gopal K. Kadekodi


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Автор: Jati Sengupta; Gopal K. Kadekodi
Название:  Econometrics of Planning and Efficiency
ISBN: 9789401081467
Издательство: Springer
Классификация:
ISBN-10: 9401081468
Обложка/Формат: Paperback
Страницы: 210
Вес: 0.30 кг.
Дата издания: 30.09.2011
Серия: Advanced Studies in Theoretical and Applied Econometrics
Язык: English
Размер: 234 x 156 x 11
Основная тема: Economics
Ссылка на Издательство: Link
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Поставляется из: Германии


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.

The Oxford Handbook of Applied Nonparametric and Semiparametric Econometrics and Statistics

Автор: Racine, Jeffrey; Su, Liangjun; Ullah, Aman
Название: The Oxford Handbook of Applied Nonparametric and Semiparametric Econometrics and Statistics
ISBN: 0199857946 ISBN-13(EAN): 9780199857944
Издательство: Oxford Academ
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Цена: 22968.00 р.
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Описание: This volume, edited by Jeffrey Racine, Liangjun Su, and Aman Ullah, contains the latest research on nonparametric and semiparametric econometrics and statistics. Chapters by leading international econometricians and statisticians highlight the interface between econometrics and statistical methods for nonparametric and semiparametric procedures.

High-Frequency Financial Econometrics

Автор: Ait-Sahalia Yacine
Название: High-Frequency Financial Econometrics
ISBN: 0691161437 ISBN-13(EAN): 9780691161433
Издательство: Wiley
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Цена: 8712.00 р.
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Описание: High-frequency trading is an algorithm-based computerized trading practice that allows firms to trade stocks in milliseconds. This book introduces readers to these emerging methods and tools of analysis.

Advances in Economics and Econometrics: Volume 3: Theory and Applications

Автор: Richard Blundell, Whitney Newey , Torsten Persson
Название: Advances in Economics and Econometrics: Volume 3: Theory and Applications
ISBN: 0521692105 ISBN-13(EAN): 9780521692106
Издательство: Cambridge Academ
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Цена: 5861.00 р.
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Описание: The third of three volumes containing edited papers and a commentary presented at the Ninth World Congress of the Econometric Society, held in London in August 2005. Written by leading specialists in their fields, these volumes provide a unique survey of progress in the discipline.

A Concise Introduction to Econometrics

Автор: Philip Hans Franses
Название: A Concise Introduction to Econometrics
ISBN: 0521520908 ISBN-13(EAN): 9780521520904
Издательство: Cambridge Academ
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Цена: 6653.00 р.
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Описание: Assuming only basic familiarity with matrix algebra and calculus this 2002 book is an ideal introduction for students of econometrics. Focusing on a limited number of the most widely used methods, the book reviews the basics of econometrics and ends with seven case studies drawn from recent empirical work.

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.

Econometrics of Information and Efficiency

Автор: Jati Sengupta
Название: Econometrics of Information and Efficiency
ISBN: 9048142881 ISBN-13(EAN): 9789048142880
Издательство: Springer
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Цена: 25149.00 р.
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Описание: 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.

Handbook of Financial Econometrics, Vol 2,2

Автор: Yacine Ait-Sahalia
Название: Handbook of Financial Econometrics, Vol 2,2
ISBN: 0444535489 ISBN-13(EAN): 9780444535481
Издательство: Elsevier Science
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Цена: 12632.00 р.
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Описание: Applied financial econometrics subjects are featured in this second volume, with papers that survey important research even as they make unique empirical contributions to the literature. These subjects are familiar: portfolio choice, trading volume, the risk-return tradeoff, option pricing, bond yields, and the management, supervision, and measurement of extreme and infrequent risks. Yet their treatments are exceptional, drawing on current data and evidence to reflect recent events and scholarship. A landmark in its coverage, this volume should propel financial econometric research for years.

Handbook of Financial Econometrics, Vol 1,1

Автор: Yacine Ait-Sahalia
Название: Handbook of Financial Econometrics, Vol 1,1
ISBN: 044450897X ISBN-13(EAN): 9780444508973
Издательство: Elsevier Science
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Цена: 19875.00 р.
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Описание: Covers advances in financial econometrics. This book features topics ranging from a survey of mathematical and statistical tools for understanding nonlinear Markov processes to an exploration of the time-series evolution of the risk-return tradeoff for stock market investment.

Introductory Econometrics for Finance

Автор: Brooks
Название: Introductory Econometrics for Finance
ISBN: 1107661455 ISBN-13(EAN): 9781107661455
Издательство: Cambridge Academ
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Цена: 7918.00 р.
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Описание: This bestselling and thoroughly classroom-tested textbook is a complete resource for finance students. A comprehensive and illustrated discussion of the most common empirical approaches in finance prepares students for using econometrics in practice, while detailed case studies help them understand how the techniques are used in relevant financial contexts. Worked examples from the latest version of the popular statistical software EViews guide students to implement their own models and interpret results. Learning outcomes, key concepts and end-of-chapter review questions (with full solutions online) highlight the main chapter takeaways and allow students to self-assess their understanding. Building on the successful data- and problem-driven approach of previous editions, this third edition has been updated with new data, extensive examples and additional introductory material on mathematics, making the book more accessible to students encountering econometrics for the first time. A companion website, with numerous student and instructor resources, completes the learning package.

A Guide to Modern Econometrics

Автор: Verbeek M
Название: A Guide to Modern Econometrics
ISBN: 1119951674 ISBN-13(EAN): 9781119951674
Издательство: Wiley
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Цена: 7918.00 р.
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Описание: This highly successful text serves as a guide to alternative techniques in econometrics with an emphasis on the practical application of these approaches. The 4th Edition features: Coverage of a wide range of topics, including time series analysis, cointegration, limited dependent variables, panel data analysis and the generalized method of moments. Intuitive presentation and discussion, with a focus on implementation and practical relevance. A large number of empirical illustrations taken from a wide variety of fields, including international economics, finance, labour economics and macroeconomics. Increased focus on robust inference and small sample properties. End-of-chapter exercises, both theoretical and empirical, reviewing key concepts. Updated and expanded coverage, on various topics such as missing data, outliers, forecast evaluation, the estimation of treatment effects and panel unit root tests. Supplementary material, including PowerPoint slides for lecturers, data sets of the empirical illustrations and exercises, and solutions to selected exercises in each chapter, available at www.wileyeurope.com/college/verbeek

Introduction to Econometrics, 5 ed.

Автор: Dougherty Christopher
Название: Introduction to Econometrics, 5 ed.
ISBN: 0199676828 ISBN-13(EAN): 9780199676828
Издательство: Oxford Academ
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Цена: 12037.00 р.
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Описание: Combining the rigour of econometric theory with an accessible style, Dougherty`s step by step explanations and relevant practical exercises ensure students develop an intuitive understanding of econometrics, and gain hands-on experience of the tools used in economic and financial forecasting.


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