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Ide Kearney
- 3 December 2025
- OCCASIONAL PAPER SERIES - No. 381Details
- Abstract
- This report provides a comprehensive overview of the models and tools used for macroeconomic projections within the European System of Central Banks (ESCB). These include semi-structural models, dynamic stochastic general equilibrium (DSGE) models, time series models and specialised satellite models tailored to particular questions or country-specific aspects. Each type of model has its own strengths and weaknesses and can help answer different questions. The models should therefore be seen as complementary rather than mutually exclusive. Semi-structural models are commonly used to produce baseline projection exercises, since they offer the flexibility to combine expert judgement with empirical data and have enough complexity and structure to provide a good representation of the economy. DSGE models, valued for their internal consistency and strong theoretical foundations, are another core forecasting tool used by some central banks, particularly to analyse counterfactuals. Time series models tend to be better suited to forecasting the short term, while scenario analysis and special events may require satellite models, extensions of existing models or even the development of new models tailored to the question at hand. The report also addresses the challenges to macroeconomic projections posed by data quality, including revisions and missing data, and describes the methods implemented to mitigate their effects. The report identifies “quick wins” to improve the projection process by enhancing the transparency and comparability of results through standardised reporting frameworks and better measurement of the judgement integrated in forecasts. The findings highlight the fundamental role of macroeconomic models in underpinning the ESCB’s projection exercises and ensuring that the Governing Council’s assessments and deliberations rest on coherent, granular and credible analysis of both demand-side and supply-side dynamics.
- JEL Code
- C30 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→General
C53 : Mathematical and Quantitative Methods→Econometric Modeling→Forecasting and Prediction Methods, Simulation Methods
C54 : Mathematical and Quantitative Methods→Econometric Modeling→Quantitative Policy Modeling
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
- 21 September 2021
- OCCASIONAL PAPER SERIES - No. 264Details
- Abstract
- This paper summarises the findings of the Eurosystem’s Expert Group on Inflation Expectations (EGIE), which was one of the 13 work streams conducting analysis that fed into the ECB’s monetary policy strategy review. The EGIE was tasked with (i) reviewing the nature and behaviour of inflation expectations, with a focus on the degree of anchoring, and (ii) exploring the role that measures of expectations can play in forecasting inflation. While it is households’ and firms’ inflation expectations that ultimately matter in the expectations channel, data limitations have meant that in practice the focus of analysis has been on surveys of professional forecasters and on market-based indicators. Regarding the anchoring of inflation expectations, this paper considers a number of metrics: the level of inflation expectations, the responsiveness of longer-term inflation expectations to shorter-term developments, and the degree of uncertainty. Different metrics can provide conflicting signals about the scale and timing of potential unanchoring, which underscores the importance of considering all of them. Overall, however, these metrics suggest that in the period since the global financial and European debt crises, longer-term inflation expectations in the euro area have become less well anchored. Regarding the role measures of inflation expectations can play in forecasting inflation, this paper finds that they are indicative for future inflationary developments. When it comes to their predictive power, both market-based and survey-based measures are found to be more accurate than statistical benchmarks, but do not systematically outperform each other. Beyond their role as standalone forecasts, inflation expectations bring forecast gains when included in forecasting models and can also inform scenario and risk analysis in projection exercises performed using structural models. ...
- JEL Code
- D84 : Microeconomics→Information, Knowledge, and Uncertainty→Expectations, Speculations
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
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy