Elements of Time Series Econometrics: An Applied Approach - Second Edition, Kocenda Evzen, Cerny Alexander

Автор: Henderson
Название: Applied Nonparametric Econometrics
ISBN: 0521279682 ISBN-13(EAN): 9780521279680
Издательство: Cambridge Academ
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Цена: 44350.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

Название: Applied econometrics
ISBN: 1138014443 ISBN-13(EAN): 9781138014442
Издательство: Taylor&Francis
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Цена: 816640.00 T
Наличие на складе: Невозможна поставка.
Описание: A new title from Routledge, this is a four-volume collection of cutting-edge and foundational research.

Автор: Walter Enders
Название: Applied Econometric Time Series, Second Edition
ISBN: 0471230650 ISBN-13(EAN): 9780471230656
Издательство: Wiley
Цена: 39020.00 T
Наличие на складе: Невозможна поставка.
Описание: Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. The first edition of Applied Econometric Time Series was among those chosen. This new edition reflects recent advances in time--series econometrics, such as out--of--sample forecasting techniques, non--linear time--series models, Monte Carlo analysis, and bootstrapping. Numerous examples from fields ranging from agricultural economics to transnational terrorism illustrate various techniques.

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: 153120.00 T
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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.

Автор: Mills
Название: Time Series Econometrics
ISBN: 1137525320 ISBN-13(EAN): 9781137525321
Издательство: Springer
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Цена: 81050.00 T
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Описание: This book provides an introductory treatment of time series econometrics, a subject that is of key importance to both students and practitioners of economics. It contains material that any serious student of economics and finance should be acquainted with if they are seeking to gain an understanding of a real functioning economy.

Автор: Neusser
Название: Time Series Econometrics
ISBN: 3319328611 ISBN-13(EAN): 9783319328614
Издательство: Springer
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Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text presents modern developments in time series analysis and focuses on their application to economic problems. The book first introduces the fundamental concept of a stationary time series and the basic properties of covariance, investigating the structure and estimation of autoregressive-moving average (ARMA) models and their relations to the covariance structure. The book then moves on to non-stationary time series, highlighting its consequences for modeling and forecasting and presenting standard statistical tests and regressions. Next, the text discusses volatility models and their applications in the analysis of financial market data, focusing on generalized autoregressive conditional heteroskedastic (GARCH) models. The second part of the text devoted to multivariate processes, such as vector autoregressive (VAR) models and structural vector autoregressive (SVAR) models, which have become the main tools in empirical macroeconomics. The text concludes with a discussion of co-integrated models and the Kalman Filter, which is being used with increasing frequency. Mathematically rigorous, yet application-oriented, this self-contained text will help students develop a deeper understanding of theory and better command of the models that are vital to the field. Assuming a basic knowledge of statistics and/or econometrics, this text is best suited for advanced undergraduate and beginning graduate students.

Автор: Henderson
Название: Applied Nonparametric Econometrics
ISBN: 110701025X ISBN-13(EAN): 9781107010253
Издательство: Cambridge Academ
Рейтинг:
Цена: 116160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.