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Confronting model misspecification in macroeconomics

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  • Daniel F. Waggoner
  • Tao Zha

Abstract

We confront model misspecifications in macroeconomics by proposing an analytic framework for merging multiple models. This framework allows us to address uncertainty about models and parameters simultaneously and trace out the historical periods in which one model dominates other models. We apply the framework to a richly parameterized dynamic stochastic general equilibrium (DSGE) model and a corresponding Bayesian vector autoregressive model. The merged model, fitting the data better than both individual models, substantially alters economic inferences about the DSGE parameters and the implied impulse responses.

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Bibliographic Info

Paper provided by Federal Reserve Bank of Atlanta in its series Working Paper with number 2010-18.

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Date of creation: 2010
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Handle: RePEc:fip:fedawp:2010-18

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As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Confronting Model Misspecification in Macroeconomics
    by Christian Zimmermann in NEP-DGE blog on 2011-01-06 00:58:27
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
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Cited by:
  1. Marco Del Negro & Frank Schorfheide, 2012. "DSGE model-based forecasting," Staff Reports 554, Federal Reserve Bank of New York.
  2. Shaun P Vahey & Elizabeth C Wakerly, 2013. "Moving towards probability forecasting," BIS Papers chapters, in: Bank for International Settlements (ed.), Globalisation and inflation dynamics in Asia and the Pacific, volume 70, pages 3-8 Bank for International Settlements.
  3. Robert Tetlow & Kirstin Hubrich, 2013. "Financial stress and economic dynamics: The transmission of crises," 2013 Meeting Papers 571, Society for Economic Dynamics.

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