Uncertainty within Economic Models, Hansen Lars Peter

Автор: Pindyck
Название: Econometric Models & Economic Forecasts
ISBN: 0071158367 ISBN-13(EAN): 9780071158367
Издательство: McGraw-Hill
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Цена: 62910.00 T
Наличие на складе: Поставка под заказ.
Описание: First course in Econometrics in Economics Departments at better schools, also Economic/Business Forecasting. Slightly higher level and more comprehensive than Gujarati Basic Econometrics (M-H, 1996) . P-R covers more time series and forecasting. P-R coverage is a notch below Johnston-DiNardo (M-H, 97) and requires no matrix algebra.

Автор: Maki
Название: Introduction to Estimating Economic Models
ISBN: 041558986X ISBN-13(EAN): 9780415589864
Издательство: Taylor&Francis
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Цена: 193950.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: For beginning econometrics students or practitioners, the book illustrates the application of econometric methods to empirical analysis of economic issues perfectly. Its comprehensive treatment uncovers the missing link between economic theory and econometrics.

Автор: Clements, Michael P.; Hendry, David F.
Название: The Oxford Handbook of Economic Forecasting
ISBN: 0195398645 ISBN-13(EAN): 9780195398649
Издательство: Oxford Academ
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Цена: 161040.00 T
Наличие на складе: Невозможна поставка.
Описание: This Handbook provides up-to-date coverage of both new developments and well-established fields in the sphere of economic forecasting. The chapters are written by world experts in their respective fields, and are authoritative yet accessible.

Автор: Bell
Название: Economic Time Series
ISBN: 143984657X ISBN-13(EAN): 9781439846575
Издательство: Taylor&Francis
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Цена: 132710.00 T
Наличие на складе: Невозможна поставка.
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.

Автор: Galimkair Mutanov
Название: Mathematical Methods and Models in Economic Planning, Management and Budgeting
ISBN: 3662451417 ISBN-13(EAN): 9783662451410
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book describes a system of mathematical models and methods that can be used to analyze real economic and managerial decisions and to improve their effectiveness.

Автор: Ferguson
Название: Discrete Time Dynamic Economic Models
ISBN: 0415753910 ISBN-13(EAN): 9780415753913
Издательство: Taylor&Francis
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Цена: 46950.00 T
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Описание: Primarily of interest to upper level students carrying out economic modelling, this book bridges a gap between economics and econometric literature by introducing and developing the techniques of discrete time modelling.

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
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.

Автор: Pindyck
Название: Econometric Models and Economic Forecasts
ISBN: 0071224440 ISBN-13(EAN): 9780071224444
Издательство: McGraw-Hill
Цена: 49180.00 T
Наличие на складе: Невозможна поставка.

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.