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Short-Term Forecasting: Projecting Italian GDP, One Quarter to Two Years Ahead

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Author Info
Matteo Iacoviello

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Abstract

This paper presents a "bridge model" for short-run (one or two quarters ahead) forecasting of Italian GDP, relying on industrial production and survey indicators as key variables that can help in providing a real-time first GDP estimate. For a one- to two-year horizon, it formulates and estimates a Bayesian VAR (BVAR) model of the Italian economy. Both the "bridge" and the BVAR model can be of great help in supplementing traditional judgmental or structural econometric forecasts. Given their simplicity and their good forecasting power, the framework may be usefully extended to other variables as well as to other countries

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Publisher Info
Paper provided by International Monetary Fund in its series IMF Working Papers with number 01/109.

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Length: 23 pages
Date of creation: 06 Sep 2001
Date of revision:
Handle: RePEc:imf:imfwpa:01/109

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Related research
Keywords: Gross domestic product ; Italy ; Economic models ;

References listed on IDEAS
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  1. Robert B. Litterman, 1985. "Forecasting with Bayesian vector autoregressions five years of experience," Working Papers 274, Federal Reserve Bank of Minneapolis. [Downloadable!]
    Other versions:
  2. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January. [Downloadable!] (restricted)
  3. Timothy Cogley & James M. Nason, 1993. "Output dynamics in real business cycle models," Working Papers in Applied Economic Theory 93-10, Federal Reserve Bank of San Francisco.
    Other versions:
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This page was last updated on 2009-10-21.


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