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Underlying inflation and asymetric risks

Author

Listed:
  • Hervé Le Bihan

    (Banque de France)

  • Danilo Leiva-León

    (European Central Bank)

  • Matías Pacce

    (Banco de España)

Abstract

We propose a new measure of underlying inflation that provides real-time information on asymmetric risks in the outlook for inflation. The asymmetries are generated by nonlinearities induced by economic activity. The new indicator is based on a multivariate regime-switching framework estimated using disaggregated sub-components of euro area HICP and has several additional advantages. First, it is able to swiftly infer abrupt changes in underlying inflation. Second, it helps track turning points in underlying inflation on a timely basis. Third, the proposed indicator also performs satisfactorily vis-à-vis several criteria relevant to inflation monitoring.

Suggested Citation

  • Hervé Le Bihan & Danilo Leiva-León & Matías Pacce, 2023. "Underlying inflation and asymetric risks," Working Papers 2319, Banco de España.
  • Handle: RePEc:bde:wpaper:2319
    DOI: https://doi.org/10.53479/30849
    as

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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    underlying inflation; asymmetric risks; regime-switching; Bayesian methods;
    All these keywords.

    JEL classification:

    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models

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