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Adding Indonesia to the global projection model

Author: Michal Andrle; International Monetary Fund. Research Department.
Publisher: [Washington, D.C.] : International Monetary Fund, 2009.
Series: IMF working paper, WP/09/253.
Edition/Format:   eBook : Document : International government publication : EnglishView all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Adding Indonesia to the global projection model.
[Washington, DC] : International Monetary Fund, ©2009
(OCoLC)557402423
Material Type: Document, Government publication, International government publication, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Michal Andrle; International Monetary Fund. Research Department.
OCLC Number: 694140986
Reproduction Notes: Electronic reproduction. [S.l.] : HathiTrust Digital Library, 2011. MiAaHDL
Description: 1 online resource (57 pages) : illustrations (some color).
Details: Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
Series Title: IMF working paper, WP/09/253.
Responsibility: prepared by Michal Andrle [and others].

Abstract:

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 p.

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