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Forecasting euro area inflation: Does contemponaneous aggregration improve the forecasting performance

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K. Hubrich

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Abstract

Since price stability is the ESCB's primary objective, the evaluation of price development in the light of the second pillar of the ESCB's monetary policy strategy is essential. As the European Central Bank has started publishing its inflation forecast for the euro area in December 2000, forecasting inflation for the area has become of increasing importance. In this study it is systematically analysed whether the forecasting performance of euro area inflation models can be improved by aggregating forecasts of HICP subindices in comparison to forecasting total euro area inflation directly. The comparison is carried out across different methodological approaches. The VECM id found to ouperform the VAR and a univariate AR model for almost all HICP (sub-)indices. The results regarding the relative performance of aggregating forecasts of disaggregated time series in comparison with forecasting the aggregated time series directly, however, show a tendency for a better performance of forecasting euro area inflation directly. Therefore, relying on aggregated forecasts of subcomponents when forecasting euro area or national inflation should be considered with some caution.

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Paper provided by Netherlands Central Bank, Research Department in its series WO Research Memoranda (discontinued) with number 661.

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Date of creation: 2001
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Handle: RePEc:dnb:wormem:661

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Related research
Keywords: euro area inflation; forecasting; contemporaneous aggregation; linear time series;

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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. Kohn, Robert, 1982. "When is an aggregate of a time series efficiently forecast by its past?," Journal of Econometrics, Elsevier, vol. 18(3), pages 337-349, April. [Downloadable!] (restricted)
  2. James H. Stock & Mark W. Watson, 1998. "Diffusion Indexes," NBER Working Papers 6702, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  3. Lutkepohl, Helmut, 1984. "Linear transformations of vector ARMA processes," Journal of Econometrics, Elsevier, vol. 26(3), pages 283-293, December. [Downloadable!] (restricted)
  4. Stock, James H, 1987. "Asymptotic Properties of Least Squares Estimators of Cointegrating Vectors," Econometrica, Econometric Society, vol. 55(5), pages 1035-56, September. [Downloadable!] (restricted)
  5. Clive W. J. Granger, 1988. "Aggregation of time series variables-a survey," Discussion Paper / Institute for Empirical Macroeconomics 1, Federal Reserve Bank of Minneapolis. [Downloadable!]
  6. Gonzalo, J., 1992. "Cointegration and Aggregation," Papers 11, Boston University - Department of Economics.
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  7. Rose, David E., 1977. "Forecasting aggregates of independent Arima processes," Journal of Econometrics, Elsevier, vol. 5(3), pages 323-345, May. [Downloadable!] (restricted)
  8. Elena Angelini & Jerome Henry & Ricardo Mestre, 2001. "A multi-country trend indicator for euro area inflation: computation and properties," Working Paper Series 060, European Central Bank. [Downloadable!]
  9. Marcellino, Massimiliano, 1999. "Some Consequences of Temporal Aggregation in Empirical Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(1), pages 129-36, January.
  10. Marcellino, Massimiliano & Stock, James H. & Watson, Mark W., 2003. "Macroeconomic forecasting in the Euro area: Country specific versus area-wide information," European Economic Review, Elsevier, vol. 47(1), pages 1-18, February. [Downloadable!] (restricted)
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  11. Elena Angelini & Jerome Henry & Ricardo Mestre, 2001. "Diffusion index-based inflation forecasts for the euro area," Working Paper Series 061, European Central Bank. [Downloadable!]
  12. Claudio Morana, 2000. "Measuring core inflation in the Euro area," Working Paper Series 36, European Central Bank. [Downloadable!]
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Cited by:
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  1. Gabriel Moser & Fabio Rumler & Johann Scharler, 2004. "Forecasting Austrian Inflation," Working Papers 91, Oesterreichische Nationalbank (Austrian Central Bank). [Downloadable!]
    Other versions:
  2. 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:
  3. 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!]
  4. Friedrich Fritzer & Gabriel Moser & Johann Scharler, 2002. "Forecasting Austrian HICP and its Components using VAR and ARIMA Models," Working Papers 73, Oesterreichische Nationalbank (Austrian Central Bank). [Downloadable!]
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