Quarterly Projection Model for India : Key Elements and Properties /

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 sev...

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Bibliografske podrobnosti
Glavni avtor: Benes, Jaromir
Drugi avtorji: Clinton, Kevin, George, Asish, Gupta, Pranav
Format: Revija
Jezik:English
Izdano: Washington, D.C. : International Monetary Fund, 2017.
Serija:IMF Working Papers; Working Paper ; No. 2017/033
Online dostop:Full text available on IMF
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100 1 |a Benes, Jaromir. 
245 1 0 |a Quarterly Projection Model for India :   |b Key Elements and Properties /  |c Jaromir Benes, Kevin Clinton, Asish George, Pranav Gupta. 
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300 |a 1 online resource (41 pages) 
490 1 |a IMF Working Papers 
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500 |a <strong>On-Campus Access:</strong> No User ID or Password Required 
506 |a Electronic access restricted to authorized BRAC University faculty, staff and students 
520 3 |a 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. 
538 |a Mode of access: Internet 
700 1 |a Clinton, Kevin. 
700 1 |a George, Asish. 
700 1 |a Gupta, Pranav. 
830 0 |a IMF Working Papers; Working Paper ;  |v No. 2017/033 
856 4 0 |z Full text available on IMF  |u http://elibrary.imf.org/view/journals/001/2017/033/001.2017.issue-033-en.xml  |z IMF e-Library