A Small Quarterly Projection Model of the US Economy

A Small Quarterly Projection Model of the US Economy

Author: Mr.Ondrej Kamenik

Publisher: International Monetary Fund

Published: 2008-12-01

Total Pages: 56

ISBN-13: 1451871368

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This 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.


A Small Quarterly Multi-Country Projection Model with Financial-Real Linkages and Oil Prices

A Small Quarterly Multi-Country Projection Model with Financial-Real Linkages and Oil Prices

Author: Mr.Ondrej Kamenik

Publisher: International Monetary Fund

Published: 2008-12-01

Total Pages: 76

ISBN-13: 1451871384

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This 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.


GPM6

GPM6

Author: Ioan Carabenciov

Publisher: International Monetary Fund

Published: 2013-04-10

Total Pages: 79

ISBN-13: 1484318943

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This 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.


A Global Projection Model for Euro Area Large Economies

A Global Projection Model for Euro Area Large Economies

Author: Zoltan Jakab

Publisher: International Monetary Fund

Published: 2015-03-02

Total Pages: 31

ISBN-13: 1498399606

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The GPM project is designed to improve the toolkit for studying both own-country and cross-country linkages. This paper creates a special version of GPM that includes the four largest Euro Area (EA) countries. The EA countries are more vulnerable to domestic and external demand shocks because adjustments in the real exchange rate between EA countries occur more gradually through inflation differentials. Spillovers from tight credit conditions in each EA country are limited by direct trade channels and small confidence spillovers, but we also consider scenarios where banks in all EU countries tighten credit conditions simultaneously.


A Small Quarterly Multi-Country Projection Model

A Small Quarterly Multi-Country Projection Model

Author: Mr.Ondrej Kamenik

Publisher: INTERNATIONAL MONETARY FUND

Published: 2008-12-01

Total Pages: 59

ISBN-13: 9781451871371

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This 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.


A Small Quarterly Multi-country Projection Model

A Small Quarterly Multi-country Projection Model

Author:

Publisher:

Published: 2008

Total Pages: 60

ISBN-13:

DOWNLOAD EBOOK

This 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.


Adding Indonesia to the Global Projection Model

Adding Indonesia to the Global Projection Model

Author: Charles Freedman

Publisher: International Monetary Fund

Published: 2009-11-01

Total Pages: 59

ISBN-13: 1451941714

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This 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.