Suchergebnisse

Against the difficult background of analysing aggregated data in this paper core inflation in the euro area is estimated by means of the structural vector autoregressive approach. We demonstrate that the HICP sometimes seems to be a misleading indicator for monetary policy in the euro area. We furthermore compare our core inflation measure to the wide-spread "ex food and energy" measure, often referred to by the ECB. In addition we provide evidence that our measure is a coincident indicator of HICP inflation. Assessing the robustness of our core inflation measure we carefully conclude that it seems to be quite reliable.

Since the second half of the nineties the euro area has been subject to a considerable accumulation of temporary and idiosyncratic price shocks. Core inflation indicators for the euro area are thus of utmost interest. Based on euro area-wide data core inflation in this paper is analyzed by means of an indicator derived from the generalized dynamic factor model. This indicator reveals that HICP inflation strongly exaggerated both the decline as well as the increase in the price trend in 1999 and 2000/2001. Our results reinforce those achieved by Cristadoro, Forni, Reichlin and Versonese (2001) based on euro area country data which indicates the robustness of the indicator. Klassifikation: C33, E31

Against the difficult background of analysing aggregated data in this paper core inflation in the euro area is estimated by means of the structural vector autoregressive approach. We demonstrate that the HICP sometimes seems to be a misleading indicator for monetary policy in the euro area. We furthermore compare our core inflation measure to the wide-spread "ex food and energy" measure, often referred to by the ECB. In addition we provide evidence that our measure is a coincident indicator of HICP inflation. Assessing the robustness of our core inflation measure we carefully conclude that it seems to be quite reliable. This Version: April, 2002 Revised edition published in: Allgemeinenes Statistisches Archiv, Vol 87, 2003. Klassifikation: C32, E31