Možnosti iskanja
Domov Mediji Pojasnjujemo Raziskave in publikacije Statistika Denarna politika Euro Plačila in trgi Zaposlitve
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Srečko Zimic

Economics

Division

Forecasting and Policy Modelling

Current Position

Senior Economist

Fields of interest

Macroeconomics and Monetary Economics

Email

Srecko.Zimic@ecb.europa.eu

Education
2010-2015

PhD in Economics , European University Institute , Italy

2009-2010

MSc in Economics , University of Amsterdam , Netherlands

2008-2010

MSc in Economics , University of Ljubljana , Slovenia

2005-2008

BSc in Economics , University of Ljubljana , Slovenia

31 July 2024
WORKING PAPER SERIES - No. 2965
Details
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
15 March 2024
OCCASIONAL PAPER SERIES - No. 344
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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 May 2023
ECONOMIC BULLETIN - BOX
Economic Bulletin Issue 3, 2023
Details
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. 267
Details
Abstract
This paper provides an assessment of the macroeconomic models regularly used for forecasting and policy analysis in the Eurosystem. These include semi-structural, structural and time-series models covering specific jurisdictions and the euro area within a closed economy, small open economy, multi-country or global setting. Models are used as analytical frameworks for building baseline projections and for supporting the preparation of monetary policy decisions. The paper delivers four main contributions. First, it provides a survey of the macroeconomic modelling portfolios currently used or under development within the Eurosystem. Second, it explores the analytical gaps in the Eurosystem models and investigates the scope for further enhancement of the main projection and policy models, and the creation of new models. Third, it reviews current practices in model-based analysis for monetary policy preparation and forecasting and provides recommendations and suggestions for improvement. Finally, it reviews existing cooperation modalities on model development and proposes alternative sourcing and organisational strategies to remedy any knowledge or analytical gaps identified.
JEL Code
C5 : Mathematical and Quantitative Methods→Econometric Modeling
E47 : Macroeconomics and Monetary Economics→Money and Interest Rates→Forecasting and Simulation: Models and Applications
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
F4 : International Economics→Macroeconomic Aspects of International Trade and Finance
5 May 2021
ECONOMIC BULLETIN - BOX
Economic Bulletin Issue 3, 2021
Details
Abstract
We show how heterogeneous expectations across agents can change the macroeconomic outcomes of an increase in long-term inflation expectations. A broad-based expectation of higher longer-term inflation can be expected to lift the short to medium-term inflation outlook and have an expansionary effect on economic activity. If the financial markets are the only segment of the economy repricing higher longer-term inflation expectations, the associated tightening of financing conditions would hamper firms’ and households’ expenditure decisions and prevent any price pressures from building up.
JEL Code
E1 : Macroeconomics and Monetary Economics→General Aggregative Models
E3 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles
I1 : Health, Education, and Welfare→Health
4 February 2021
ECONOMIC BULLETIN - BOX
Economic Bulletin Issue 1, 2021
Details
Abstract
We augment the ECB-BASE model using the predictive dynamics of an SIR model in order to assess the interplay between epidemiological fundamentals, containment policies and the macroeconomy, investigating the macro impact of pandemic-related risk factors associated with a medical solution to the COVID‑19 crisis.
JEL Code
E1 : Macroeconomics and Monetary Economics→General Aggregative Models
E3 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles
I1 : Health, Education, and Welfare→Health
29 June 2020
WORKING PAPER SERIES - No. 2431
Details
Abstract
This paper studies the macroeconomic consequences of the COVID-19 pandemic and makes a first step in adapting the central bank modelling apparatus to the new economic landscape. We augment the ECB-BASE model with the predictive dynamics of the SIR model in order to assess the interplay between epidemiological fundamentals, containment policies and the macroeconomy. Containment policies considerably reduce the share of infected and deceased people, but generate a sharp decline in economic activity. Barring the materialization of amplification risks, the induced recession may remain broadly V-shaped under targeted confinement policies. By comparison, a "laissez-faire" approach to the pandemic emergency can even inflict in some cases higher long-term economic costs. Nevertheless, the depth of the recession and the speed of the recovery (if at all) crucially depend on the magnitude and persistence of the supply-side retrenchment, as well as on the risk of macro-financial feedback loops.
JEL Code
E1 : Macroeconomics and Monetary Economics→General Aggregative Models
E3 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles
I1 : Health, Education, and Welfare→Health
23 September 2019
ECONOMIC BULLETIN - BOX
Economic Bulletin Issue 6, 2019
Details
Abstract
Using a structural vector autoregression (SVAR) model, the box suggests that the fall in industrial production growth in the euro area in the past year has been driven by both the intensification of global trade tensions and adverse domestic shocks. Whereas in the first half of 2018 weakness in international trade in an environment of global uncertainties was the main contributor to the fall in industrial production, since July 2018 euro area-specific developments have also played a major role.
JEL Code
E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
F44 : International Economics→Macroeconomic Aspects of International Trade and Finance→International Business Cycles
C50 : Mathematical and Quantitative Methods→Econometric Modeling→General
16 September 2019
WORKING PAPER SERIES - No. 2315
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Abstract
This paper presents the blueprint of a new ECB multi-country model. The version documentedin the following pages is estimated on euro area data. As a prelude to the countrymodels, this version is meant to enhance the understanding of the main model mechanisms,enlarge the suite of area wide tools, and provide a tool for a top down approach betweeneuro area and country modelling. The model converges to a well-de ned steady state and itsproperties are in line with macroeconomic theory and standard empirical benchmarks. Thedesign is aligned to its role as workhorse model in the context of the forecasting and policysimulation exercises at the ECB.
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
15 January 2019
WORKING PAPER SERIES - No. 2221
Details
Abstract
We show that medium-term interest rates in the euro area, Japan, UK and US are affected by domestic and foreign shocks. We find that US rates are the main source of spillovers globally and are less exposed to foreign shocks. Foreign spillovers to European rates were negligible only during the sovereign debt crisis and the introduction of more aggressive monetary policies by the ECB. We identify causal relations among asset prices through structural vector autoregressions (SVAR) and magnitude restrictions. We use preliminary regressions on event days to estimate key parameters employed to constrain the structural parameter space of the SVAR.
JEL Code
C3 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables
G2 : Financial Economics→Financial Institutions and Services
26 November 2018
WORKING PAPER SERIES - No. 2209
Details
Abstract
This paper finds that debt-financed fiscal multipliers vary depending on the location of the debt buyer. In a sample of 33 countries fiscal multipliers are larger when government purchases are financed by issuing debt to foreign investors (non-residents), compared to when they are financed by issuing debt to home investors (residents). In a theoretical model, the location of the government creditor produces these differential responses through the extent that private investment is crowded out. International capital mobility of the resident private sector decreases the difference between the two types of financing both in the model and in the data.
JEL Code
F41 : International Economics→Macroeconomic Aspects of International Trade and Finance→Open Economy Macroeconomics
H3 : Public Economics→Fiscal Policies and Behavior of Economic Agents
E62 : Macroeconomics and Monetary Economics→Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook→Fiscal Policy
5 May 2017
WORKING PAPER SERIES - No. 2055
Details
Abstract
This paper studies spillovers among US and European sovereign yields. We provide a new method based on absolute magnitude restrictions of the impact matrix to identify the countries that were the main sources of spillovers. Despite the large size of shocks from euro area stressed countries, connectedness among sovereign yields declined between 2008 and 2012 due to financial fragmentation, particularly between countries with more divergent business and fiscal cycles. We show that none of the sovereign yields are insulated from foreign shocks and that shocks to the Greek bond market in 2010 explained 20-30% of the variance of sovereign yields in stressed countries, while in 2011-2012 Italy (not Spain) was the source of systemic risk.
JEL Code
C3 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables
G2 : Financial Economics→Financial Institutions and Services
30 August 2016
WORKING PAPER SERIES - No. 1953
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Abstract
This paper explores empirically the role of noisy information in cyclical developments and aims at separating fluctuations that are due to genuine changes in fundamentals from those due to temporary animal spirits or expectational errors (noise shocks). Exploiting the fact that the econometrician has a richer data-set in some dimensions than the consumers, we use a novel identification scheme in a structural vector-autoregressive (SVAR) framework. Our results show that noise shocks are more important for business cycle fluctuations than permanent (or technology) shocks. We also show that technology shocks turn negative a few years before recessions, while noise shocks are very positive at the cycle peaks. By contrast, the recovery from recessions is mostly led by technology shocks, noise shocks remaining negative for some time during this business cycle phase.
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
E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
2023
Economic Modelling
  • Elena Angelini, Milan Damjanović, Matthieu Darracq Pariès and Srečko Zimic
2022
European Economic Review
  • Roberto De Santis and Srečko Zimic
2021
The Economic Journal
  • Romanos Priftis and Srečko Zimic
2019
Journal of Macroeconomics
  • Stephane Dées and Srečko Zimic
2018
Journal of Applied Econometrics
  • Roberto De Santis and Srečko Zimic