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Economic Time Series, Bell


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Автор: Bell
Название:  Economic Time Series
Перевод названия: Белл: Экономические временные ряды
ISBN: 9781439846575
Издательство: Taylor&Francis
Классификация:


ISBN-10: 143984657X
Обложка/Формат: Hardback
Страницы: 554
Вес: 0.90 кг.
Дата издания: 20.04.2012
Серия: Mathematics
Язык: English
Иллюстрации: 472 equations; 89 tables, black and white; 146 illustrations, black and white
Размер: 235 x 163 x 30
Читательская аудитория: Postgraduate, research & scholarly
Ключевые слова: Applied mathematics, MATHEMATICS / General,MATHEMATICS / Probability & Statistics / General
Подзаголовок: Modeling and seasonality
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: Economic Time Series: Modeling and Seasonality is a focused resource on analysis of economic time series as pertains to modeling and seasonality, presenting cutting-edge research that would otherwise be scattered throughout diverse peer-reviewed journals. This compilation of 21 chapters showcases the cross-fertilization between the fields of time series modeling and seasonal adjustment, as is reflected both in the contents of the chapters and in their authorship, with contributors coming from academia and government statistical agencies. For easier perusal and absorption, the contents have been grouped into seven topical sections: Section I deals with periodic modeling of time series, introducing, applying, and comparing various seasonally periodic models Section II examines the estimation of time series components when models for series are misspecified in some sense, and the broader implications this has for seasonal adjustment and business cycle estimation Section III examines the quantification of error in X-11 seasonal adjustments, with comparisons to error in model-based seasonal adjustments Section IV discusses some practical problems that arise in seasonal adjustment: developing asymmetric trend-cycle filters, dealing with both temporal and contemporaneous benchmark constraints, detecting trading-day effects in monthly and quarterly time series, and using diagnostics in conjunction with model-based seasonal adjustment Section V explores outlier detection and the modeling of time series containing extreme values, developing new procedures and extending previous work Section VI examines some alternative models and inference procedures for analysis of seasonal economic time series Section VII deals with aspects of modeling, estimation, and forecasting for nonseasonal economic time series By presenting new methodological developments as well as pertinent empirical analyses and reviews of established methods, the book provides much that is stimulating and practically useful for the serious researcher and analyst of economic time series.

Economic Growth

Автор: Robert J Barro
Название: Economic Growth
ISBN: 0262025531 ISBN-13(EAN): 9780262025539
Издательство: MIT Press
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Цена: 124150.00 T
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Описание:

The long-awaited second edition of an important textbook on economic growth--a major revision incorporating the most recent work on the subject.

This graduate level text on economic growth surveys neoclassical and more recent growth theories, stressing their empirical implications and the relation of theory to data and evidence. The authors have undertaken a major revision for the long-awaited second edition of this widely used text, the first modern textbook devoted to growth theory. The book has been expanded in many areas and incorporates the latest research. After an introductory discussion of economic growth, the book examines neoclassical growth theories, from Solow-Swan in the 1950s and Cass-Koopmans in the 1960s to more recent refinements; this is followed by a discussion of extensions to the model, with expanded treatment in this edition of heterogenity of households. The book then turns to endogenous growth theory, discussing, among other topics, models of endogenous technological progress (with an expanded discussion in this edition of the role of outside competition in the growth process), technological diffusion, and an endogenous determination of labor supply and population. The authors then explain the essentials of growth accounting and apply this framework to endogenous growth models. The final chapters cover empirical analysis of regions and empirical evidence on economic growth for a broad panel of countries from 1960 to 2000. The updated treatment of cross-country growth regressions for this edition uses the new Summers-Heston data set on world income distribution compiled through 2000.


Time Series Models for Business and Economic Forecasting

Автор: Franses
Название: Time Series Models for Business and Economic Forecasting
ISBN: 0521520916 ISBN-13(EAN): 9780521520911
Издательство: Cambridge Academ
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Цена: 49630.00 T
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Описание: With a new author team contributing decades of practical experience, this fully updated second edition textbook summarises the most critical decisions, techniques and steps in creating effective forecasting models. Includes all new theoretical and practical exercises geared at guiding students through the steps of creating forecasting models on their own.

Russia?s Changing Economic and Political Regimes

Название: Russia?s Changing Economic and Political Regimes
ISBN: 0415641713 ISBN-13(EAN): 9780415641715
Издательство: Taylor&Francis
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Цена: 153120.00 T
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Описание: The book reveals the interconnection between social, cultural and political protest movements and social and economic changes in a post-communist country like Russia still dominated by bureaucratic rulers and "oligarchs" controlling all basic industries and mining activities. Those interests are also dominating Russia?s foreign policy and explain why Russia did not succeed in becoming an integral part of Europe. The latter is, at least, wished by many Russian citizens.

Gastroenterology and Nutrition:Neonatology: Questions and Controversies Series

Автор: Josef Neu
Название: Gastroenterology and Nutrition:Neonatology: Questions and Controversies Series
ISBN: 141603160X ISBN-13(EAN): 9781416031604
Издательство: Elsevier Science
Цена: 70730.00 T
Наличие на складе: Невозможна поставка.
Описание: Provides information about gastroenterology and nutrition challenges faced in practice. This book gives advice on the diagnostic and treatment strategies using evidence-based medicine.

Introduction to Time Series Using Stata

Автор: Becketti
Название: Introduction to Time Series Using Stata
ISBN: 1597181323 ISBN-13(EAN): 9781597181327
Издательство: Taylor&Francis
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Цена: 75530.00 T
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Описание: Recent decades have witnessed explosive growth in new and powerful tools for timeseries analysis. These innovations have overturned older approaches to forecasting, macroeconomic policy analysis, the study of productivity and long-run economic growth, and the trading of financial assets. Familiarity with these new tools on time series is an essential skill for statisticians, econometricians, and applied researchers. Introduction to Time Series Using Stata provides a step-by-step guide to essential timeseries techniques—from the incredibly simple to the quite complex—and, at the same time, demonstrates how these techniques can be applied in the Stata statistical package. The emphasis is on an understanding of the intuition underlying theoretical innovations and an ability to apply them. Real-world examples illustrate the application of each concept as it is introduced, and care is taken to highlight the pitfalls, as well as the power, of each new tool. Sean Becketti is a financial industry veteran with three decades of experience in academics, government, and private industry. Over the last two decades, Becketti has led proprietary research teams at several leading financial firms, responsible for the models underlying the valuation, hedging, and relative value analysis of some of the largest fixed-income portfolios in the world.

Time Series Models for Business and Economic Forecasting

Автор: Franses
Название: Time Series Models for Business and Economic Forecasting
ISBN: 0521817706 ISBN-13(EAN): 9780521817707
Издательство: Cambridge Academ
Рейтинг:
Цена: 99270.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With a new author team contributing decades of practical experience, this fully updated second edition textbook summarises the most critical decisions, techniques and steps in creating effective forecasting models. Includes all new theoretical and practical exercises geared at guiding students through the steps of creating forecasting models on their own.

Multivariate Modelling of Non-Stationary Economic Time Series

Автор: Simon P. Burke; John Hunter; Alessandra Canepa
Название: Multivariate Modelling of Non-Stationary Economic Time Series
ISBN: 0230243312 ISBN-13(EAN): 9780230243316
Издательство: Springer
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Цена: 55890.00 T
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Описание: This book examines conventional time series in the context of stationary data prior to a discussion of cointegration, with a focus on multivariate models.

Periodicity and Stochastic Trends in Economic Time Series

Автор: Franses, Philip Hans
Название: Periodicity and Stochastic Trends in Economic Time Series
ISBN: 0198774540 ISBN-13(EAN): 9780198774549
Издательство: Oxford Academ
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Цена: 54910.00 T
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Описание: This is an advanced graduate textbook in econometrics. A large proportion of the data studied by econometricians are series of observations of the same variables made over time (time series). This book provides a comprehensive account of how to allow for seasonal fluctuations in these data by using periodic models.

Modelling Nonlinear Economic Time Series

Автор: Terasvirta Clive W J
Название: Modelling Nonlinear Economic Time Series
ISBN: 0199587159 ISBN-13(EAN): 9780199587155
Издательство: Oxford Academ
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Цена: 43810.00 T
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Описание: This volume is a comprehensive assessment of many recent developments in the modelling of time series. The focus is on introducing various nonlinear models and discussing their practical use, and encouraging the reader to apply nonlinear models to their practical modelling problems.

The Forces of Economic Growth: A Time Series Perspective

Автор: Greiner Alfred, Semmler Willi, Gong Gang
Название: The Forces of Economic Growth: A Time Series Perspective
ISBN: 0691170967 ISBN-13(EAN): 9780691170961
Издательство: Wiley
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Цена: 26400.00 T
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Описание:

In economics, the emergence of New Growth Theory in recent decades has directed attention to an old and important problem: what are the forces of economic growth and how can public policy enhance them? This book examines major forces of growth--including spillover effects and externalities, education and formation of human capital, knowledge creation through deliberate research efforts, and public infrastructure investment. Unique in emphasizing the importance of different forces for particular stages of development, it offers wide-ranging policy implications in the process.

The authors critically examine recently developed endogenous growth models, study the dynamic implications of modified models, and test the models empirically with modern time series methods that avoid the perils of heterogeneity in cross-country studies. Their empirical analyses, undertaken with newly constructed time series data for the United States and some core countries of the Euro zone, show that models containing scale effects, such as the R&D model and the human capital model, are compatible with time series evidence only after considerable modifications and nonlinearities are introduced. They also explore the relationship between growth and inequality, with particular focus on technological change and income disparity. The Forces of Economic Growth represents a comprehensive and up-to-date empirical time series perspective on the New Growth Theory.


Multivariate Modelling of Non-Stationary Economic Time Series

Автор: Simon P. Burke; John Hunter; Alessandra Canepa
Название: Multivariate Modelling of Non-Stationary Economic Time Series
ISBN: 0230243304 ISBN-13(EAN): 9780230243309
Издательство: Springer
Рейтинг:
Цена: 186330.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book examines conventional time series in the context of stationary data prior to a discussion of cointegration, with a focus on multivariate models.

Modelling Trends and Cycles in Economic Time Series

Автор: Mills
Название: Modelling Trends and Cycles in Economic Time Series
ISBN: 1403902097 ISBN-13(EAN): 9781403902092
Издательство: Springer
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Цена: 65210.00 T
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Описание: Modelling trends and cycles in economic time series has a long history, with the use of linear trends and moving averages forming the basic tool kit of economists until the 1970s.


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