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

Arbeitspapier

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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: ECB Working Paper ; No. 247

Classification and Topics

• Classification: Wirtschaft ; Price Level; Inflation; Deflation ; Prices, Business Fluctuations, and Cycles: Forecasting and Simulation: Models and Applications ; Forecasting Models; Simulation Methods ; Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
• Subject: Euro Area Inflation ; HICP subindex forecast aggregation ; linear time series models

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Hubrich, Kirstin
• Event: Veröffentlichung
• (who): European Central Bank (ECB)
• (where): Frankfurt a. M.
• (when): 2003

Further information

• Handle: http://hdl.handle.net/10419/152681
• Last update: 10.03.2025, 11:44 AM CET