Ei ole eesti keeles kättesaadav
Matthieu Darracq Pariès
International & European Relations
- Division
External Developments
- Current Position
-
Head of Division
- Fields of interest
-
Macroeconomics and Monetary Economics,Financial Economics,Mathematical and Quantitative Methods
- Education
- 2017-2018
PhD in Economics, University of Paris-Est, France
- 1998-1999
Master in Economics, ENSAE, Paris, France
- 1994-1997
MA in Applied Maths and Finance, Ecole Polytechnique, Paris, France
- Professional experience
- 2024-
Head, External Developments Division, DG International and European Relations, ECB
- 2018-2024
Deputy Head, Forecasting and Policy Modelling Division, DG Economics, ECB
- 2014-2017
Adviser, Monetary Analysis Division, DG Monetary Policy, ECB
- 2009-2013
Adviser, Capital Markets and Financial Structure Division, DG Monetary Policy, ECB
- 2003-2009
Senior Economist/Principal Economist, DG Economics, ECB
- 1999-2003
Economist/Senior Economist, Treasury, Paris, France
- 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
- 22 September 2025
- WORKING PAPER SERIES - No. 3117Details
- Abstract
- This paper examines the macroeconomic impact of substantial tariffs imposed by the second Trump administration on imports from China and the euro area and their transmission through direct and indirect channels. Using the ECB-Global 3.0 semi-structural model, we show that tariffs raise US import prices and lead to tighter US monetary policy, with the managed float of the renminbi partly offsetting adverse effects in China, while appreciation of the dollar undermines US export competitiveness. In the euro area, euro depreciation provides limited output support but intensifies imported inflation and triggers additional policy tightening. We assess the sensitivity of these results to key assumptions, such as the global amplification of inflation via dominant US dollar invoicing, partial trade diversion, and alternative monetary policy frameworks that attenuate monetary tightening and output contraction. Quantitative assessments of tariffs enacted up to 26 May 2025 and of an escalation scenario indicate significant global output losses and heightened inflationary pressures, requiring widespread policy rate increases. Further escalation of the trade conflict magnifies these effects. These findings quantify the economic cost of tariff related trade disputes and highlight the challenges central banks face in navigating the trade off between price stability and growth.
- JEL Code
- F12 : International Economics→Trade→Models of Trade with Imperfect Competition and Scale Economies, Fragmentation
F41 : International Economics→Macroeconomic Aspects of International Trade and Finance→Open Economy Macroeconomics
F42 : International Economics→Macroeconomic Aspects of International Trade and Finance→International Policy Coordination and Transmission
- 2 May 2025
- ECONOMIC BULLETIN - BOXEconomic Bulletin Issue 3, 2025Details
- Abstract
- The start of Russia’s war on Ukraine in early 2022 led to major errors in inflation and GDP growth forecasts from December 2021 onwards. By the end of 2022 inflation projections were off by 8 percentage points and GDP projections by nearly 1 percentage point. Using the ECB-BASE model, this study finds that about 70% of the inflation error stemmed from unexpected energy and food price shocks. Energy prices were the main drivers in 2022, while food prices gained influence in 2023. Fiscal policies initially eased inflation but later this effect was reversed. Tighter financial conditions impacted GDP in 2023 but had little immediate effect on inflation. Nevertheless, monetary policy played a key role, preventing inflation from rising by up to 2 percentage points in a worst-case scenario. The model underestimated second-round effects, wage-price linkages and labour hoarding. These findings highlight the importance of incorporating non-linear price pass-through effects and labour market dynamics into macroeconomic forecasting models.
- JEL Code
- C5 : Mathematical and Quantitative Methods→Econometric Modeling
E37 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Forecasting and Simulation: Models and Applications
E5 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit
E6 : Macroeconomics and Monetary Economics→Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook
- 15 January 2025
- THE ECB BLOGDetails
- JEL Code
- E37 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Forecasting and Simulation: Models and Applications
E47 : Macroeconomics and Monetary Economics→Money and Interest Rates→Forecasting and Simulation: Models and Applications
C15 : Mathematical and Quantitative Methods→Econometric and Statistical Methods and Methodology: General→Statistical Simulation Methods: General
- 31 July 2024
- WORKING PAPER SERIES - No. 2965Details
- Abstract
- This paper introduces ECB-(RE)BASE as the model-consistent, or rational expectation version of the ECB-BASE model. It brings new analytical capabilities to consider varying degrees of heterogeneity in expectation formation across the agents of the model. While the original version of ECB-BASE features VAR-based expectations, we examine two alternative versions either with full model-consistent expectations or with hybrid expectations. The paper provides a didactic exposition of the changes in the model properties brought by the various expectation settings. Furthermore, we conduct illustrative scenarios around the macroeconomic shocks experienced over the recent years. The simulations notably suggest that moving from VAR-based to model-consistent expectations would limit the pandemic-induced macroeconomic volatility but would exacerbate the price pressures during the inflation surge period. Overall, this model development extends the range of possibilities for risk and policy analysis which can enhance the contribution of ECB-(RE)BASE to monetary policy preparation.
- JEL Code
- C3 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables
C5 : Mathematical and Quantitative Methods→Econometric Modeling
E1 : Macroeconomics and Monetary Economics→General Aggregative Models
E2 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy
E5 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit
- 26 April 2024
- WORKING PAPER SERIES - No. 2935Details
- Abstract
- We evaluate how the euro area economy would have performed since mid-2021 under alternative monetary policy strategies. We use the ECB’s workhorse estimated DSGE model and contrast actual policy conduct against alternative strategies which differ in their ”lower-for-longer” commitment as well as policymaker preferences regarding inflation and output volatility. Assuming that the monetary authority had full knowledge of prevailing conditions from mid-2021 onwards, the alternative policy strategies would call for anticipated timing of the start of the hiking cycle: earlier tightening would prevent inflation from peaking at 10%, but the forceful tightening since 2022:Q3 prevented higher inflation from becoming entrenched. However, once evaluating monetary policy on real-time quarterly vintages of incoming data and projections, the alternative interest rate paths would be broadly consistent with the observed policy conduct. The proximity of some benchmark optimal policy counterfactuals with the baseline, brings further indication that the actual policy conduct succeeded in implementing an efficient management of the output-inflation trade-off.
- JEL Code
- C53 : Mathematical and Quantitative Methods→Econometric Modeling→Forecasting and Prediction Methods, Simulation Methods
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
E42 : Macroeconomics and Monetary Economics→Money and Interest Rates→Monetary Systems, Standards, Regimes, Government and the Monetary System, Payment Systems
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
- 15 March 2024
- OCCASIONAL PAPER SERIES - No. 344Details
- Abstract
- This paper takes stock of the ECB’s macroeconometric modelling strategy by focusing on the models and applications used in the Forecasting and Policy Modelling Division. We focus on the guiding principles underpinning the current portfolio of the main macroeconomic models and illustrate how they can in principle be used for economic forecasting, scenario and risk analyses. We also discuss the modelling agenda which is currently under development, focusing notably on heterogeneity, machine learning, expectation formation and climate change. The paper makes it clear that the large macroeconometric models typically developed in central banks remain stylised descriptions of our modern economies and can fail to predict or assess the nature of economic events (especially when big crises arise). But even in highly uncertain economic conditions, they can still provide a meaningful contribution to policy preparation. We conclude the paper with a roadmap which will allow the ECB and the Eurosystem to exploit technological advances and cooperation across institutions as a useful means of ensuring that the modelling framework is not only resilient to disruptive events but also innovative.
- 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
- 15 December 2023
- OCCASIONAL PAPER SERIES - No. 336Details
- Abstract
- In this paper we analyse the sensitivity of the macroeconomic outcomes under the Network for Greening the Financial System’s (NGFS’s) Phase III net-zero and delayed transition scenarios to different monetary and fiscal policy settings. In doing so, we provide a rare application of the NGFS climate scenarios to economic assessment through the lens of the macroeconomic modelling frameworks underlying the scenario construction (e.g. NiGEM). Using the model to disentangle the main drivers of the scenarios, we show that gross domestic product (GDP) growth is shaped by physical and transition shocks jointly, whereas transition shocks account for most of the inflationary pressure. As regards alternative policy settings within the model, it turns out that Fiscal recycling options become more discriminant in terms of GDP impact in the medium term. Full recycling through government investment yields the strongest output multiplier, whereas recycling through household transfers or reduced income taxes yields the lowest multiplier. During the transition, euro area macroeconomic variables respond very similarly if two-pillar or price level-targeting monetary policy rules are followed. The Taylor- rule, reacting to inflation and output gap, yields higher and more persistent inflation as well as stronger short-term interest rate increases. These findings are certainly model-specific but do reflect the policy sensitivity embedded of the NGFS scenarios, within the confines of the very model used to build them up.
- JEL Code
- Q54 : Agricultural and Natural Resource Economics, Environmental and Ecological Economics→Environmental Economics→Climate, Natural Disasters, Global Warming
E3 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles
E6 : Macroeconomics and Monetary Economics→Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook
D6 : Microeconomics→Welfare Economics
- 5 July 2023
- THE ECB BLOGDetails
- JEL Code
- E17 : Macroeconomics and Monetary Economics→General Aggregative Models→Forecasting and Simulation: Models and Applications
E27 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Forecasting and Simulation: Models and Applications
E37 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Forecasting and Simulation: Models and Applications
E47 : Macroeconomics and Monetary Economics→Money and Interest Rates→Forecasting and Simulation: Models and Applications
- 15 May 2023
- ECONOMIC BULLETIN - BOXEconomic Bulletin Issue 3, 2023Details
- Abstract
- This box analyses the macroeconomic implications of monetary policy tightening so far, drawing on a suite of models employed at the ECB.
- JEL Code
- C32 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models, Diffusion Processes
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
- 21 September 2021
- OCCASIONAL PAPER SERIES - No. 271