Non disponibile in italiano
Maria Christine Saliba
- 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
- 31 January 2025
- WORKING PAPER SERIES - No. 3015Details
- Abstract
- This paper examines the great supply shock following the pandemic and the invasion of Ukraine, using a novel suite of supply indices. The suite has indices for the euro area total economy, euro area industries, sectors and countries. The suite also computes the contributions to the indices from supply drivers at origin, in transport, or at destination. The results from the suite show that the supply shock has had wide-spread effects, and that their dynamics have been industry-, sector- and country-specific. Supply conditions have been tighter for longer in the euro area than other areas, in automobile than digital and food industries, in services relative to other sectors, and in some countries than others. The drivers at home appear to account for an increasing share of the specificity at the end of the sample, and a broader data set helps to better capture these drivers. The results also confirm that the supply indices in the suite lag supply shocks and lead variables susceptible to the effects of supply shocks.
- JEL Code
- C43 : Mathematical and Quantitative Methods→Econometric and Statistical Methods: Special Topics→Index Numbers and Aggregation
C82 : Mathematical and Quantitative Methods→Data Collection and Data Estimation Methodology, Computer Programs→Methodology for Collecting, Estimating, and Organizing Macroeconomic Data, Data Access
E66 : Macroeconomics and Monetary Economics→Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook→General Outlook and Conditions
R32 : Urban, Rural, Regional, Real Estate, and Transportation Economics→Real Estate Markets, Spatial Production Analysis, and Firm Location→Other Spatial Production and Pricing Analysis
R41 : Urban, Rural, Regional, Real Estate, and Transportation Economics→Transportation Economics→Transportation: Demand, Supply, and Congestion, Safety and Accidents, Transportation Noise