Evaluating Inflation Forecasts in the Euro Area and the Role of the ECB

ABSTRACT This paper evaluates the informative value of the ECB inflation forecasts vis‐à‐vis other institutional and model‐based forecasts in the euro area using ex post optimal combinations of forecasts and nonnegative weights. From a methodological perspective, we adapt the corresponding forecast encompassing test to the constrained parameter space, showcasing its superior performance over traditional encompassing tests in both size and power properties. Empirically, the combining weights and the forecast encompassing test reveal that the ECB was the most informative forecaster of euro area inflation over the 2009–2021 period. This changed in 2022: The ECB lost its position as the most informative forecaster, and when using rolling windows to estimate the combining weights using a rolling window, we find an important decline in the ECB's weight over time. This time dependency can be associated with the economic environment and, in particular, the level of uncertainty, the monetary policy, and the macro‐financial conditions in which the ECB operates.

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Publication Details

Journal
Journal of Forecasting
Published
2024-11-26
DOI
https://doi.org/10.1002/for.3235
Citations
2
Primary Topic
Monetary Policy and Economic Impact
Type
article
Field-Weighted Citation Impact
1.66
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article

Evaluating Inflation Forecasts in the Euro Area and the Role of the ECB

Francesco Roccazzella, Bertrand Candelon
2 citations
Journal of Forecasting
Monetary Policy and Economic Impact
1.66
article

Evaluating Inflation Forecasts in the Euro Area and the Role of the ECB

Francesco Roccazzella, Bertrand Candelon
article en
2 citations

Abstract

ABSTRACT This paper evaluates the informative value of the ECB inflation forecasts vis‐à‐vis other institutional and model‐based forecasts in the euro area using ex post optimal combinations of forecasts and nonnegative weights. From a methodological perspective, we adapt the corresponding forecast encompassing test to the constrained parameter space, showcasing its superior performance over traditional encompassing tests in both size and power properties. Empirically, the combining weights and the forecast encompassing test reveal that the ECB was the most informative forecaster of euro area inflation over the 2009–2021 period. This changed in 2022: The ECB lost its position as the most informative forecaster, and when using rolling windows to estimate the combining weights using a rolling window, we find an important decline in the ECB's weight over time. This time dependency can be associated with the economic environment and, in particular, the level of uncertainty, the monetary policy, and the macro‐financial conditions in which the ECB operates.

Journal of ForecastingVol. 44(3)
Centre National de la Recherche Scientifique (FR), Université de Lille (FR), Maastricht University (NL), Institut d'Economie Scientifique Et de Gestion (FR), Lille Économie Management (FR), UCLouvain (BE)
Decent work and economic growth
Openalex Percentile: Top 13%
Monetary Policy and Economic Impact
1.66
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