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Underlying inflation measures for Germany

Author

Listed:
  • Ciftci, Muhsin
  • Wieland, Elisabeth

Abstract

In this paper, we evaluate a set of measures of underlying inflation for Germany using conventional measures, such as core inflation (excluding energy and food items), and alternative measures based on econometric models, machine learning, and micro-price evidence. We compare these measures through detailed in-sample and out-of-sample evaluations. The alternative measures exhibit lower volatility, minimal bias, and superior out-of-sample forecasting accuracy performance. While we find no evidence that any single measure clearly outperforms the others over time, the range of alternatives measures also reflects a somewhat earlier uptick and downturn in light of the recent inflation surge in comparison to traditional ones. In addition, all measures under consideration are highly sensitive to monetary policy shocks.

Suggested Citation

  • Ciftci, Muhsin & Wieland, Elisabeth, 2025. "Underlying inflation measures for Germany," Technical Papers 04/2025, Deutsche Bundesbank.
    • Handle: RePEc:zbw:bubtps:333424
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    References listed on IDEAS

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    1. Eiglsperger, Martin, 2019. "New features in the Harmonised Index of Consumer Prices: analytical groups, scanner data and web-scraping," Economic Bulletin Boxes, European Central Bank, vol. 2.
    2. Forni, Mario & Hallin, Marc & Lippi, Marco & Reichlin, Lucrezia, 2005. "The Generalized Dynamic Factor Model: One-Sided Estimation and Forecasting," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 830-840, September.
    3. Jeremy B. Rudd, 2020. "Underlying Inflation: Its Measurement and Significance," FEDS Notes 2020-09-18-1, Board of Governors of the Federal Reserve System (U.S.).
    4. Ehrmann, Michael & Ferrucci, Gianluigi & Lenza, Michele & O'Brien, Derry, 2018. "Measures of underlying inflation for the euro area," Economic Bulletin Articles, European Central Bank, vol. 4.
    5. Schnorrenberger, Richard & Schwind, Patrick & Wieland, Elisabeth, 2024. "Forecasting HICP package holidays with forward-looking booking data," Technical Papers 04/2024, Deutsche Bundesbank.
    6. Fröhling, Annette & Lommatzsch, Kirsten, 2011. "Output sensitivity of inflation in the euro area: Indirect evidence from disaggregated consumer prices," Discussion Paper Series 1: Economic Studies 2011,25, Deutsche Bundesbank.
    7. Erwan Gautier & Cristina Conflitti & Riemer P. Faber & Brian Fabo & Ludmila Fadejeva & Valentin Jouvanceau & Jan-Oliver Menz & Teresa Messner & Pavlos Petroulas & Pau Roldan-Blanco & Fabio Rumler & Se, 2024. "New Facts on Consumer Price Rigidity in the Euro Area," American Economic Journal: Macroeconomics, American Economic Association, vol. 16(4), pages 386-431, October.
    8. Michael F. Bryan & Brent Meyer, 2010. "Are some prices in the CPI more forward looking than others? We think so," Economic Commentary, Federal Reserve Bank of Cleveland, vol. 2010(02), pages 1-6, May.
    9. Cristadoro, Riccardo & Forni, Mario & Reichlin, Lucrezia & Veronese, Giovanni, 2005. "A Core Inflation Indicator for the Euro Area," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(3), pages 539-560, June.
    10. Taylor, Alan M. & Cloyne, James & Hürtgen, Patrick, 2022. "Global Monetary and Financial Spillovers: Evidence from a New Measure of Bundesbank Policy Shocks," CEPR Discussion Papers 17587, C.E.P.R. Discussion Papers.
    11. Bańbura, Marta & Bobeica, Elena, 2020. "PCCI – a data-rich measure of underlying inflation in the euro area," Statistics Paper Series 38, European Central Bank.
    12. Martín Almuzara & Argia M. Sbordone, 2024. "Measurement and Theory of Core Inflation," Staff Reports 1115, Federal Reserve Bank of New York.
    13. Martin Blomhoff Holm & Pascal Paul & Andreas Tischbirek, 2021. "The Transmission of Monetary Policy under the Microscope," Journal of Political Economy, University of Chicago Press, vol. 129(10), pages 2861-2904.
    14. Jim Dolmas, 2005. "Trimmed mean PCE inflation," Working Papers 0506, Federal Reserve Bank of Dallas.
    15. Allayioti, Anastasia & Gόrnicka, Lucyna & Holton, Sarah & Martínez Hernández, Catalina, 2024. "Monetary policy pass-through to consumer prices: evidence from granular price data," Working Paper Series 3003, European Central Bank.
    16. Philippe Goulet Coulombe & Karin Klieber & Christophe Barrette & Maximilian Goebel, 2024. "Maximally Forward-Looking Core Inflation," Papers 2404.05209, arXiv.org.
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    Keywords

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    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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