Verfügbarkeit: Understanding DSGE Filters in Forecasting and Policy Analysis

Understanding DSGE Filters in Forecasting and Policy Analysis:

This paper introduces methods that allow analysts to (i) decompose the estimates of unobserved quantities into observed data, (ii) to better understand revision properties of the model, and (iii) to impose subjective prior constraints on path estimates of unobserved shocks in structural economic mod...

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1. Verfasser:	Andrle, Michal (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Washington, D.C International Monetary Fund 2013
Schriftenreihe:	IMF Working Papers Working Paper No. 13/98
Online-Zugang:	UBW01 UEI01 LCO01 SBR01 UER01 SBG01 UBG01 FAN01 UBT01 FKE01 UBY01 UBA01 FLA01 UBM01 UPA01 UBR01 FHA01 FNU01 BSB01 TUM01 Volltext
Zusammenfassung:	This paper introduces methods that allow analysts to (i) decompose the estimates of unobserved quantities into observed data, (ii) to better understand revision properties of the model, and (iii) to impose subjective prior constraints on path estimates of unobserved shocks in structural economic models. For instance, a decomposition of the flexible-price output gap, or a technology shock, into contributions of output, inflation, interest rates, and other observed variables' contribution is feasible. The intuitive nature and analytical clarity of the suggested procedures are appealing for policy-related and forecasting models
Beschreibung:	1 Online-Ressource (23 p)
ISBN:	1484301358 9781484301357

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spelling	Andrle, Michal Verfasser aut Understanding DSGE Filters in Forecasting and Policy Analysis Andrle, Michal Washington, D.C International Monetary Fund 2013 1 Online-Ressource (23 p) txt rdacontent c rdamedia cr rdacarrier IMF Working Papers Working Paper No. 13/98 This paper introduces methods that allow analysts to (i) decompose the estimates of unobserved quantities into observed data, (ii) to better understand revision properties of the model, and (iii) to impose subjective prior constraints on path estimates of unobserved shocks in structural economic models. For instance, a decomposition of the flexible-price output gap, or a technology shock, into contributions of output, inflation, interest rates, and other observed variables' contribution is feasible. The intuitive nature and analytical clarity of the suggested procedures are appealing for policy-related and forecasting models Online-Ausg http://elibrary.imf.org/view/IMF001/20456-9781484301357/20456-9781484301357/20456-9781484301357.xml Verlag URL des Erstveröffentlichers Volltext
spellingShingle	Andrle, Michal Understanding DSGE Filters in Forecasting and Policy Analysis
title	Understanding DSGE Filters in Forecasting and Policy Analysis
title_auth	Understanding DSGE Filters in Forecasting and Policy Analysis
title_exact_search	Understanding DSGE Filters in Forecasting and Policy Analysis
title_exact_search_txtP	Understanding DSGE Filters in Forecasting and Policy Analysis
title_full	Understanding DSGE Filters in Forecasting and Policy Analysis Andrle, Michal
title_fullStr	Understanding DSGE Filters in Forecasting and Policy Analysis Andrle, Michal
title_full_unstemmed	Understanding DSGE Filters in Forecasting and Policy Analysis Andrle, Michal
title_short	Understanding DSGE Filters in Forecasting and Policy Analysis
title_sort	understanding dsge filters in forecasting and policy analysis
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