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Annette Fröhling

21 June 2022
ECONOMIC BULLETIN - BOX
Economic Bulletin Issue 4, 2022
Details
Abstract
In this box, we present a new measure of domestic inflation for the euro area that takes into account the import intensity of HICP items. For this new indicator, the import intensities of HICP items are derived using information from national accounts and input-output tables. The HICP items with a relatively low import intensity are subsequently aggregated to a “Low IMport Intensity” (LIMI) inflation indicator. Differently to the literature, an empirical assessment is used to determine an optimal threshold for these import intensities. While the ECB’s inflation target is formulated in terms of headline inflation, the concept of domestic inflation is of analytical relevance to monetary policy, as it features prominently in the monetary policy transmission mechanism. Common indicators of domestic inflation, such as the GDP deflator or core inflation, either include elements that are not directly related to consumer prices or exclude volatile components that may nonetheless be driven by domestic factors. The LIMI inflation indicator can complement the information provided by these other indicators in an assessment of the underlying inflationary pressures.
JEL Code
E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
J11 : Labor and Demographic Economics→Demographic Economics→Demographic Trends, Macroeconomic Effects, and Forecasts
J21 : Labor and Demographic Economics→Demand and Supply of Labor→Labor Force and Employment, Size, and Structure
21 September 2021
OCCASIONAL PAPER SERIES - No. 265
Details
Abstract
This paper – which takes into consideration overall experience with the Harmonised Index of Consumer Prices (HICP) as well as the improvements made to this measure of inflation since 2003 – finds that the HICP continues to fulfil the prerequisites for the index underlying the ECB’s definition of price stability. Nonetheless, there is scope for enhancing the HICP, especially by including owner-occupied housing (OOH) using the net acquisitions approach. Filling this long-standing gap is of utmost importance to increase the coverage and cross-country comparability of the HICP. In addition to integrating OOH into the HICP, further improvements would be welcome in harmonisation, especially regarding the treatment of product replacement and quality adjustment. Such measures may also help reduce the measurement bias that still exists in the HICP. Overall, a knowledge gap concerning the exact size of the measurement bias of the HICP remains, which calls for further research. More generally, the paper also finds that auxiliary inflation measures can play an important role in the ECB’s economic and monetary analyses. This applies not only to analytical series including OOH, but also to measures of underlying inflation or a cost of living index.
JEL Code
C43 : Mathematical and Quantitative Methods→Econometric and Statistical Methods: Special Topics→Index Numbers and Aggregation
C52 : Mathematical and Quantitative Methods→Econometric Modeling→Model Evaluation, Validation, and Selection
C82 : Mathematical and Quantitative Methods→Data Collection and Data Estimation Methodology, Computer Programs→Methodology for Collecting, Estimating, and Organizing Macroeconomic Data, Data Access
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy