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Forecasting euro area inflation: does aggregating forecasts by HICP component improve forecast accuracy?

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Author Info
Kirstin Hubrich () (European Central Bank, Postfach 160319, 60311 Frankfurt am Main, Germany.)

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Abstract

Monitoring and forecasting price developments in the euro area is essential in the light of the second pillar of the ECB's monetary policy strategy. This study analyses whether the forecasting accuracy of forecasting aggregate euro area inflation can be improved by aggregating forecasts of subindices of the Harmonized Index of Consumer Prices (HICP) as opposed to forecasting the aggregate HICP directly. The analysis includes univariate and multivariate linear time series models and distinguishes between different forecast horizons, HICP components and inflation measures. Various model selection procedures are employed to select models for the aggregate and the disaggregate components. The results indicate that aggregating forecasts by component does not necessarily help forecast year-on-year inflation twelve months ahead. JEL Classification: E31; E37; C53; C32.

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Paper provided by European Central Bank in its series Working Paper Series with number 247.

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Length: 40 pages
Date of creation: Aug 2003
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Handle: RePEc:ecb:ecbwps:20030247

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Related research
Keywords: Euro area inflation HICP subindex forecast aggregation linear time series models.

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Clark, Todd E. & McCracken, Michael W., 2001. "Tests of equal forecast accuracy and encompassing for nested models," Journal of Econometrics, Elsevier, vol. 105(1), pages 85-110, November. [Downloadable!] (restricted)
    Other versions:
  2. Hendry, David F & Michael P. Clements, 2002. "Economic Forecasting: Some Lessons from Recent Research," Royal Economic Society Annual Conference 2002 99, Royal Economic Society. [Downloadable!]
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  3. Canova, Fabio, 2002. "G-7 Inflation Forecasts," CEPR Discussion Papers 3283, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
  4. Fabio Canova, 2002. "G-7 inflation forecasts," Working Paper Series 151, European Central Bank. [Downloadable!]
  5. Michael P. Clements & David F. Hendry, 2002. "Modelling methodology and forecast failure," Econometrics Journal, Royal Economic Society, vol. 5(2), pages 319-344, 06. [Downloadable!] (restricted)
  6. David F. Hendry & Michael P. Clements, 2004. "Pooling of forecasts," Econometrics Journal, Royal Economic Society, vol. 7(1), pages 1-31, 06. [Downloadable!] (restricted)
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  7. Elena Angelini & Jerome Henry & Ricardo Mestre, 2001. "Diffusion index-based inflation forecasts for the euro area," Working Paper Series 061, European Central Bank. [Downloadable!]
  8. Clemen, Robert T., 1989. "Combining forecasts: A review and annotated bibliography," International Journal of Forecasting, Elsevier, vol. 5(4), pages 559-583. [Downloadable!] (restricted)
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(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Kirstin Hubrich & David F. Hendry, 2005. "Forecasting Aggregates by Disaggregates," Computing in Economics and Finance 2005 270, Society for Computational Economics. [Downloadable!]
  2. Gerhard Rünstler & Franck Sédillot, 2003. "Short-term estimates of euro area real GDP by means of monthly data," Working Paper Series 276, European Central Bank. [Downloadable!]
  3. P.J.G. Vlaar & A.H.J. den Reijer, 2003. "Forecasting inflation: An art as well as a science!," DNB Staff Reports (discontinued) 107, Netherlands Central Bank. [Downloadable!]
    Other versions:
  4. Hendry, David F & Hubrich, Kirstin, 2006. "Forecasting Economic Aggregates by Disaggregates," CEPR Discussion Papers 5485, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
    Other versions:
  5. Nicholai Benalal & Juan Luis Diaz del Hoyo & Bettina Landau & Moreno Roma & Frauke Skudelny, 2004. "To aggregate or not to aggregate? Euro area inflation forecasting," Working Paper Series 374, European Central Bank. [Downloadable!]
  6. Alistair Dieppe & Thomas Warmedinger, 2007. "Modelling intra- and extra-area trade substitution and exchange rate pass-through in the euro area," Working Paper Series 760, European Central Bank. [Downloadable!]
  7. Ivan, Kitov, 2006. "Exact prediction of inflation in the USA," MPRA Paper 2735, University Library of Munich, Germany. [Downloadable!]
  8. Juan de Dios Tena & Antoni Espasa & Gabriel Pino, 2008. "Forecasting Spanish inflation using information from different sectors and geographical areas," Statistics and Econometrics Working Papers ws080101, Universidad Carlos III, Departamento de Estadística y Econometría. [Downloadable!]
  9. Guenter Beck & Massimiliano Marcellino, 2006. "Regional Inflation Dynamics within and across Euro Area and a Comparison with the US," Computing in Economics and Finance 2006 338, Society for Computational Economics. [Downloadable!]
  10. John W. Galbraith & Greg Tkacz, 2007. "How Far Can Forecasting Models Forecast? Forecast Content Horizons for Some Important Macroeconomic Variables," Working Papers 07-1, Bank of Canada. [Downloadable!]
  11. repec:nos:tttehw:mechonomics4 is not listed on IDEAS
  12. A.H.J. den Reijer & P.J.G. Vlaar, 2003. "Forecasting Inflation in the Netherlands and the Euro Area," WO Research Memoranda (discontinued) 723, Netherlands Central Bank, Research Department. [Downloadable!]
  13. Rebeca Albacete & Antoni Espasa, 2005. "Forecasting Inflation In The Euro Area Using Monthly Time Series Models And Quarterly Econometric Models," Statistics and Econometrics Working Papers ws050401, Universidad Carlos III, Departamento de Estadística y Econometría. [Downloadable!]
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