Projections Models for Small Area Economies
Author: Roger L. Burford
Publisher:
Published: 1966
Total Pages: 84
ISBN-13:
DOWNLOAD EBOOKRead and Download eBook Full
Author: Roger L. Burford
Publisher:
Published: 1966
Total Pages: 84
ISBN-13:
DOWNLOAD EBOOKAuthor: Roger L. Burford
Publisher:
Published: 1966
Total Pages: 86
ISBN-13:
DOWNLOAD EBOOKAuthor: Mr.Ondrej Kamenik
Publisher: International Monetary Fund
Published: 2008-12-01
Total Pages: 56
ISBN-13: 1451871368
DOWNLOAD EBOOKThis is the first of a series of papers that are being written as part of a project to estimate a small quarterly Global Projection Model (GPM). The GPM project is designed to improve the toolkit for studying both own-country and cross-country linkages. In this paper, we estimate a small quarterly projection model of the U.S. economy. The model is estimated with Bayesian techniques, which provide a very efficient way of imposing restrictions to produce both plausible dynamics and sensible forecasting properties. After developing a benchmark model without financial-real linkages, we introduce such linkages into the model and compare the results with and without linkages.
Author: Robert S. Pindyck
Publisher:
Published: 1998
Total Pages: 664
ISBN-13:
DOWNLOAD EBOOKThis updated edition of the text has been restructured into four parts: multiple regression model; single-equation regression models; revised exposition and a small macroeconomic model; and a revised treatment of time-series analysis.
Author: Mr.Ondrej Kamenik
Publisher: International Monetary Fund
Published: 2008-12-01
Total Pages: 76
ISBN-13: 1451871384
DOWNLOAD EBOOKThis is the third of a series of papers that are being written as part of a larger project to estimate a small quarterly Global Projection Model (GPM). The GPM project is designed to improve the toolkit for studying both own-country and cross-country linkages. In this paper, we estimate a small quarterly projection model of the US, Euro Area, and Japanese economies that incorporates oil prices and allows us to trace out the effects of shocks to oil prices. The model is estimated with Bayesian techniques. We show how the model can be used to construct efficient baseline forecasts that incorporate judgment imposed on the near-term outlook.
Author: Ioan Carabenciov
Publisher: International Monetary Fund
Published: 2013-04-10
Total Pages: 79
ISBN-13: 1484318943
DOWNLOAD EBOOKThis is the sixth of a series of papers that are being written as part of a project to estimate a small quarterly Global Projection Model (GPM). The GPM project is designed to improve the toolkit to which economists have access for studying both own-country and cross-country linkages. In this paper, we add three more regions and make a number of other changes to a previously estimated small quarterly projection model of the US, euro area, and Japanese economies. The model is estimated with Bayesian techniques, which provide a very efficient way of imposing restrictions to produce both plausible dynamics and sensible forecasting properties.
Author: A. R. G. Heesterman
Publisher: Springer
Published: 2013-11-11
Total Pages: 140
ISBN-13: 9401762147
DOWNLOAD EBOOKAuthor: Charles Freedman
Publisher: International Monetary Fund
Published: 2009-11-01
Total Pages: 59
ISBN-13: 1451941714
DOWNLOAD EBOOKThis is the fifth of a series of papers that are being written as part of a larger project to estimate a small quarterly Global Projection Model (GPM). The GPM project is designed to improve the toolkit to which economists have access for studying both own-country and cross-country linkages. In this paper, we add Indonesia to a previously estimated small quarterly projection model of the US, euro area, and Japanese economies. The model is estimated with Bayesian techniques, which provide a very efficient way of imposing restrictions to produce both plausible dynamics and sensible forecasting properties.
Author: Asian Development Bank
Publisher: Asian Development Bank
Published: 2020-05-01
Total Pages: 152
ISBN-13: 9292622234
DOWNLOAD EBOOKThis guide to small area estimation aims to help users compile more reliable granular or disaggregated data in cost-effective ways. It explains small area estimation techniques with examples of how the easily accessible R analytical platform can be used to implement them, particularly to estimate indicators on poverty, employment, and health outcomes. The guide is intended for staff of national statistics offices and for other development practitioners. It aims to help them to develop and implement targeted socioeconomic policies to ensure that the vulnerable segments of societies are not left behind, and to monitor progress toward the Sustainable Development Goals.
Author: Mr.Ondrej Kamenik
Publisher: INTERNATIONAL MONETARY FUND
Published: 2008-12-01
Total Pages: 59
ISBN-13: 9781451871371
DOWNLOAD EBOOKThis is the second of a series of papers that are being written as part of a larger project to estimate a small quarterly Global Projection Model (GPM). The GPM project is designed to improve the toolkit for studying both own-country and cross-country linkages. In this paper, we estimate a small quarterly projection model of the US, Euro Area, and Japanese economies. The model is estimated with Bayesian techniques, which provide a very efficient way of imposing restrictions to produce both plausible dynamics and sensible forecasting properties. We show how the model can be used to construct efficient baseline forecasts that incorporate judgment imposed on the near-term outlook.