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František Brázdik
- 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
- 6 November 2025
- OCCASIONAL PAPER SERIES - No. 377Details
- Abstract
- This paper serves as a reference guide on the effects of “standard” monetary policy shocks on output and prices, based on harmonised simulation exercises conducted across models of the European System of Central Banks (ESCB), meta-analysis of existing empirical literature for the euro area, and selected works on heterogeneity and non-linearities in the monetary transmission mechanism as captured by empirical models. Our analysis starts by comparing the effects of monetary policy shocks as estimated by structural, semi-structural and dynamic stochastic general equilibrium (DSGE) models, and identifying the main sources of heterogeneity – most notably via the specification of monetary policy rules, the slope of the Phillips curve, the role of real rigidities and financial frictions, and the expectations formation mechanism. While DSGE models tend to produce sharper responses, semi-structural models often reveal more gradual and persistent effects, in line with backward-looking empirical models. The second chapter presents a meta-analysis of estimated effects based on the empirical literature, which are broadly consistent with the results obtained from the ESCB models, although differences might appear when correcting for publication bias, or accounting for different identification frameworks. The study is then complemented by selected works on heterogeneity and non-linearities in the monetary transmission mechanism as captured by empirical models. Our analysis in the final chapter shows that monetary policy transmission is heterogeneous across countries, sectors, demand components, and time. It also reveals important non-linear and state-dependent dynamics: in high-inflation periods, greater price and wage flexibility amplifies the response of inflation while dampening output effects, thereby lowering the sacrifice ratio. [...]
- JEL Code
- C22 : Mathematical and Quantitative Methods→Single Equation Models, Single Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models &bull Diffusion Processes
C52 : Mathematical and Quantitative Methods→Econometric Modeling→Model Evaluation, Validation, and Selection
D58 : Microeconomics→General Equilibrium and Disequilibrium→Computable and Other Applied General Equilibrium Models
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies
F45 : International Economics→Macroeconomic Aspects of International Trade and Finance
- 22 October 2024
- OCCASIONAL PAPER SERIES - No. 357Details
- Abstract
- Understanding asymmetric risks in macroeconomic variables is challenging. Most structural models used for policy analysis are linearised and therefore cannot generate asymmetries such as those documented in the empirical growth-at-risk (GaR) literature. This report examines how structural models can incorporate non-linearities to generate tail risks. The first part reviews the various extensions to dynamic stochastic general equilibrium (DSGE) models and the computational challenges involved in accounting for risk distributions. This includes the use of occasionally binding constraints and more recent developments, such as deep learning, to solve non-linear versions of DSGEs. The second part shows how the New Keynesian DSGE model, augmented with the vulnerability channel as proposed by Adrian et al. (2020a, b), satisfactorily replicates key empirical facts from the GaR literature for the euro area. Furthermore, introducing a vulnerability channel into an open-economy set-up and a medium-sized DSGE highlights the importance of foreign financial shocks and financial frictions, respectively. Other non-linearities arising from financial frictions are also addressed, such as borrowing constraints that are conditional on an asset’s value, and the way macroprudential policies acting against those constraints can help stabilise the economy and generate positive spillovers to monetary policy. Finally, the report examines how other types of tail risk beyond financial frictions – such as the recent asymmetric supply-side shocks – can be incorporated into macroeconomic models used for policy analysis.
- JEL Code
- E70 : Macroeconomics and Monetary Economics
D50 : Microeconomics→General Equilibrium and Disequilibrium→General
G10 : Financial Economics→General Financial Markets→General
G12 : Financial Economics→General Financial Markets→Asset Pricing, Trading Volume, Bond Interest Rates
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