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Macro modelling with many models

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Author Info
Ida Wolden Bache (Norges Bank (Central Bank of Norway))
James Mitchell () (National Institute of Economic and Social Research)
Francesco Ravazzolo (Norges Bank (Central Bank of Norway))
Shaun P. Vahey (Melbourne Business School)

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Abstract

We argue that the next generation of macro modellers at Inflation Targeting central banks should adapt a methodology from the weather forecasting literature known as `ensemble modelling'. In this approach, uncertainty about model specifications (e.g., initial conditions, parameters, and boundary conditions) is explicitly accounted for by constructing ensemble predictive densities from a large number of component models. The components allow the modeller to explore a wide range of uncertainties; and the resulting ensemble `integrates out' these uncertainties using time-varying weights on the components. We provide two examples of this modelling strategy: (i) forecasting inflation with a disaggregate ensemble; and (ii) forecasting inflation with an ensemble DSGE.

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Publisher Info
Paper provided by Norges Bank in its series Working Paper with number 2009/15.

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Length: 26 pages
Date of creation: 17 Aug 2009
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Handle: RePEc:bno:worpap:2009_15

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Related research
Keywords: Ensemble modelling; Forecasting; DSGE models; Density combination;

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Find related papers by JEL classification:
C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Bayesian Analysis
C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions
C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications
E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation
E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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This page was last updated on 2009-11-19.


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