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Computational Techniques for Econometrics and Economic Analysis, D.A. Belsley


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Автор: D.A. Belsley
Название:  Computational Techniques for Econometrics and Economic Analysis
ISBN: 9789048142903
Издательство: Springer
Классификация:


ISBN-10: 9048142903
Обложка/Формат: Paperback
Страницы: 238
Вес: 0.36 кг.
Дата издания: 08.12.2010
Серия: Advances in Computational Economics
Язык: English
Размер: 234 x 156 x 14
Основная тема: Economics
Ссылка на Издательство: Link
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Поставляется из: Германии


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.

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.
Наличие на складе: Поставка под заказ.

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.

Computational Techniques for Econometrics and Economic Analysis

Автор: D.A. Belsley
Название: Computational Techniques for Econometrics and Economic Analysis
ISBN: 0792323564 ISBN-13(EAN): 9780792323563
Издательство: Springer
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Цена: 23757.00 р.
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Описание: Demonstrates the power that the computer brings to the economic analysts. This book is divided into four parts: the computer and econometric methods; the computer and economic analysis; computational techniques for econometrics; and, the computer and econometric studies.

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.
Наличие на складе: Поставка под заказ.

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

Econometrics and data analysis for developing countries

Автор: Mukherjee, Chandan Etc. White, Howard Wuyts, Mark
Название: Econometrics and data analysis for developing countries
ISBN: 0415094003 ISBN-13(EAN): 9780415094009
Издательство: Taylor&Francis
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Цена: 9798.00 р.
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Описание: A rigorous but accessible foundation to modern data analysis and econometric practice. Contains many examples and exercises and data from developing countries which is available for immediate use on a free floppy disk.

Computational Economics and Econometrics

Автор: H. Amman; D.A. Belsley; L.F Pau
Название: Computational Economics and Econometrics
ISBN: 0792312872 ISBN-13(EAN): 9780792312871
Издательство: Springer
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Цена: 23757.00 р.
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Описание: The field of Computational Economics is a fast growing area. This volume of the Advanced Series in Theoretical and Applied and Econometrics comprises a selected number of papers in the field of computational economics presented at the Annual Meeting of the Society Economic Dynamics and Control held in Minneapolis, June 1990.

Nonlinear Financial Econometrics: Forecasting Models, Computational and Bayesian Models

Автор: G. Gregoriou; R. Pascalau
Название: Nonlinear Financial Econometrics: Forecasting Models, Computational and Bayesian Models
ISBN: 1349328960 ISBN-13(EAN): 9781349328963
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book investigates several competing forecasting models for interest rates, financial returns, and realized volatility, addresses the usefulness of nonlinear models for hedging purposes, and proposes new computational techniques to estimate financial processes.

Computational Economics and Econometrics

Автор: H. Amman; D.A. Belsley; L.F Pau
Название: Computational Economics and Econometrics
ISBN: 9401053944 ISBN-13(EAN): 9789401053945
Издательство: Springer
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Цена: 20962.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The field of Computational Economics is a fast growing area. This volume of the Advanced Series in Theoretical and Applied and Econometrics comprises a selected number of papers in the field of computational economics presented at the Annual Meeting of the Society Economic Dynamics and Control held in Minneapolis, June 1990.

Econometrics in a Formal Science of Economics: Theory and the Measurement of Economic Relations

Автор: Stigum Bernt P.
Название: Econometrics in a Formal Science of Economics: Theory and the Measurement of Economic Relations
ISBN: 0262028581 ISBN-13(EAN): 9780262028585
Издательство: MIT Press
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Цена: 1731.00 р.
Наличие на складе: Нет в наличии.

Описание:

An examination of the role of theory in applied econometrics.

Econometrics is a study of good and bad ways to measure economic relations. In this book, Bernt Stigum considers the role that economic theory ought to play in such measurements and proposes a formal science of economics that provides the means to solve the measurement problems faced by econometric researchers. After describing the salient parts of a formal science of economics, Stigum compares its methods with the methods of contemporary applied econometrics. His goal is to develop a basis for meaningful discussion of the best way to incorporate economic theory in empirical analysis.

Stigum conceives two scenarios for research in applied econometrics: contemporary econometrics in the tradition of Trygve Haavelmo and the formal theory-data confrontation envisioned by Ragnar Frisch. Stigum presents case studies of economic phenomena, contrasting the empirical analysis prescribed by contemporary applied econometrics with the empirical analysis prescribed by a formal theory-data confrontation. He finds significant and provocative differences. Which are we to believe when the statistical analyses of these two methodologies yield very different descriptions of the behavior characteristics of data variables and inferences about social reality?

Stigum points to three aspects of contemporary econometric methodology that may benefit from serious discussions: the analysis of positively valued time series, a suspect characteristic of qualitative response models, and the search for linearly cointegrated time series. These three aspects are of as much concern to formal econometrics as they are to contemporary econometrics.

Financial Econometrics - From Basics to Advanced Modeling Techniques

Автор: Rachev
Название: Financial Econometrics - From Basics to Advanced Modeling Techniques
ISBN: 0471784508 ISBN-13(EAN): 9780471784500
Издательство: Wiley
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Цена: 15048.00 р.
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Описание: Financial econometrics is a quest for models that describe financial time series such as prices, returns, interest rates, and exchange rates. In Financial Econometrics, readers will be introduced to this growing discipline and the concepts and theories associated with it, including background material on probability theory and statistics.

Applied Nonparametric Econometrics

Автор: Henderson
Название: Applied Nonparametric Econometrics
ISBN: 0521279682 ISBN-13(EAN): 9780521279680
Издательство: Cambridge Academ
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Цена: 6653.00 р.
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Описание: The majority of empirical research in economics ignores the potential benefits of nonparametric methods, while the majority of advances in nonparametric theory ignore the problems faced in applied econometrics. This book helps bridge this gap between applied economists and theoretical nonparametric econometricians, discussing basic to advanced nonparametric methods with applications.

Probabilistic Techniques in Analysis

Автор: Bass
Название: Probabilistic Techniques in Analysis
ISBN: 0387943870 ISBN-13(EAN): 9780387943879
Издательство: Springer
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Цена: 12012.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Exploring the use of techniques drawn from probability research to tackle problems in mathematical analysis, this study includes discussion of the construction of the Martin boundary, Dahlberg`s Theorem, probabilistic proofs of the boundary Harnack principle, and much more.


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