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.


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:

Publisher:

Published: 2008

Total Pages: 76

ISBN-13:

DOWNLOAD EBOOK

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.


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.


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.


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.


Quarterly Projection Model for India

Quarterly Projection Model for India

Author: Mr.Jaromir Benes

Publisher: International Monetary Fund

Published: 2017-02-13

Total Pages: 41

ISBN-13: 1475578709

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This paper outlines the key features of the production version of the quarterly projection model (QPM), which is a forward-looking open-economy gap model, calibrated to represent the Indian case, for generating forecasts and risk assessment as well as conducting policy analysis. QPM incorporates several India-specific features like the importance of the agricultural sector and food prices in the inflation process; features of monetary policy transmission and implications of an endogenous credibility process for monetary policy formulation. The paper also describes key properties and historical decompositions of some important macroeconomic variables.