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Forecasting in the Presence of Structural Breaks and Model Uncertainty, David Rapach, Mark Wohar


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Автор: David Rapach, Mark Wohar
Название:  Forecasting in the Presence of Structural Breaks and Model Uncertainty
ISBN: 9780444529428
Издательство: Emerald
Классификация:
ISBN-10: 044452942X
Обложка/Формат: Hardback
Страницы: 700
Вес: 0.82 кг.
Дата издания: 20.06.2008
Серия: Frontiers of Economics and Globalization
Язык: English
Иллюстрации: Illustrations
Размер: 229 x 152 x 41
Читательская аудитория: Professional & vocational
Основная тема: Economics
Рейтинг:
Поставляется из: Англии
Описание: Forecasting in the presence of structural breaks and model uncertainty are active areas of research with implications for practical problems in forecasting. This book addresses forecasting variables from both Macroeconomics and Finance, and considers various methods of dealing with model instability and model uncertainty when forming forecasts.

Regional Economic Outlook, April 2019, Sub-Saharan Africa: Recovery Amid Elevated Uncertainty

Название: Regional Economic Outlook, April 2019, Sub-Saharan Africa: Recovery Amid Elevated Uncertainty
ISBN: 1484396863 ISBN-13(EAN): 9781484396865
Издательство: Mare Nostrum (Eurospan)
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Цена: 36030.00 T
Наличие на складе: Нет в наличии.
Описание: The economic recovery in sub-Saharan Africa is expected to continue, but at a slower pace than envisaged in October 2018. This weaker outlook reflects domestic and external challenges. On the external side, the global expansion is losing momentum, including in China and the euro area, trade tensions remain elevated, global financial conditions have tightened, and commodity prices are expected to remain low. On the domestic front, security challenges, climate shocks, and policy uncertainty are hampering investment and weighing on economic prospects in several countries. Under current policies, medium-term average growth for the region is expected to continue to fall well short of what is needed to absorb the new entrants to the labour force and to deliver limited gains in living standards.

Expert Adjustments of Model Forecasts

Автор: Franses
Название: Expert Adjustments of Model Forecasts
ISBN: 1107081599 ISBN-13(EAN): 9781107081598
Издательство: Cambridge Academ
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Цена: 53850.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Written for academics and practitioners with an interest in forecasting methodology, this book tests the notion that many forecasters feel they can improve the accuracy of forecasts based on their intuition. Current research is collated to examine `expert adjustment` from an econometric perspective and guidelines for improvement are suggested.

Regional Economic Outlook, SubSaharan Africa, April 2012: Sustaining Growth amid Global Uncertainty

Автор: International Monetary Fund
Название: Regional Economic Outlook, SubSaharan Africa, April 2012: Sustaining Growth amid Global Uncertainty
ISBN: 1616352493 ISBN-13(EAN): 9781616352493
Издательство: Mare Nostrum (Eurospan)
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Цена: 31410.00 T
Наличие на складе: Невозможна поставка.
Описание: Discusses recent economic developments and prospects for the region as a whole, as well as for specific countries. Each report focuses on policy developments that have affected economic performance in the region, and discusses key challenges faced by policymakers. The near term outlook, key risks, and their related policy challenges are analysed throughout, and current issues are explored.

Dynamic use of survey data and high frequency model forecasting, a

Название: Dynamic use of survey data and high frequency model forecasting, a
ISBN: 9813232366 ISBN-13(EAN): 9789813232365
Издательство: World Scientific Publishing
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Цена: 68640.00 T
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Описание:

This volume investigates the accuracy and dynamic performance of a high-frequency forecast model for the Japanese and United States economies based on the Current Quarter Model (CQM) or High Frequency Model (HFM) developed by the late Professor Emeritus Lawrence R. Klein. It also presents a survey of recent developments in high-frequency forecasts and gives an example application of the CQM model in forecasting Gross Regional Products (GRPs).



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