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Exploiting the monthly data-flow in structural forecasting

Listed author(s):
  • Domenico Giannone

    ()

    (Libera Università Internazionale degli Studi Sociali Guido Carli (LUISS)
    Centre for Economic Policy Research (CEPR))

  • Francesca Monti

    ()

    (Bank of England
    Centre for Macroeconomics (CFM))

  • Lucrezia Reichlin

    ()

    (London Business School (LBS)
    Centre for Economic Policy Research (CEPR))

This paper shows how and when it is possible to obtain a mapping from a quarterly DSGE model to a monthly specification that maintains the same economic restrictions and has real coefficients. We use this technique to derive the monthly counterpart of the Gali et al (2011) model. We then augment it with auxiliary macro indicators which, because of their timeliness, can be used to obtain a now-cast of the structural model. We show empirical results for the quarterly growth rate of GDP, the monthly unemployment rate and the welfare relevant output gap defined in Gali, Smets and Wouters (2011). Results show that the augmented monthly model does best for now-casting.

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File URL: http://www.centreformacroeconomics.ac.uk/Discussion-Papers/2014/CFMDP2014-16-Paper.pdf
File Function: First version, 2014
Download Restriction: no

Paper provided by Centre for Macroeconomics (CFM) in its series Discussion Papers with number 1416.

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Length: 23 pages
Date of creation: Jun 2014
Handle: RePEc:cfm:wpaper:1416
Contact details of provider: Web page: http://www.centreformacroeconomics.ac.uk/

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