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Matteo Ciccarelli
Economics
- Division
Forecasting and Policy Modelling
- Current Position
-
Head of Division
- Fields of interest
-
Macroeconomics and Monetary Economics,Other Special Topics
- Other current responsibilities
- 2017-
WGEM chairperson (shared with Eva Ortega, Banco de Espana)
- Education
- 2001
Ph.D. in Economics, Universitat Pompeu Fabra, Barcelona, Spain
- Professional experience
- 2021-
Head of Forecasting and Policy Modelling Division. Directorate General Economics
- 2015-2020
Senior Adviser. Directorate General Economics
- 2003-2015
From Economist to Senior Adviser. Directorate General Research
- 1999-2003
Assistant Professor, University of Alicante, Spain
- Awards
- 2014
Outstanding Author Contribution in the 2014 Emerald Literati Network Awards for Excellence, for the paper: 'Panel Vector Autoregressive Models: A Survey’ published in Advances in Econometrics.
- 2010
Isaac Kerstenetzky Award 2010 for the paper: Trusting the bankers. A new look at the credit channel of monetary policy
- Teaching experience
- 2003-2022
Bayesian Econometrics (Graduate) - Various institutions and summer schools
- 1999-2003
Econometrics I and II (Undergraduate) - University of Alicante
- 1998-1998
Intermediate Macroeconomics (Undergraduate) - Universitat Pompeu Fabra
- 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
- 28 February 2024
- OCCASIONAL PAPER SERIES - No. 343Details
- Abstract
- This paper applies the semi-structural model proposed by Bernanke and Blanchard (2023) to analyse wage growth, price inflation and inflation expectations in the euro area. It is part of a broader project coordinated by Bernanke and Blanchard to provide a unified framework for analysing and comparing global inflation dynamics across the major world economic areas, including US, euro area, Canada, UK, and Japan. The paper makes four main contributions. First, it estimates the model using quarterly data from the euro area covering the period from the first quarter of 1999 to the second quarter of 2023. Second, it conducts an empirical assessment of how euro area price inflation responds to various exogenous shocks. This includes evaluating how shock transmission evolved during the pandemic and comparing it with experience in the United States. Third, the model decomposes the drivers of wage growth and price inflation in the post-pandemic period. It emphasises the transmission channels and the respective roles of supply and demand forces that have contributed to the recent inflationary surge. Notably, it identifies the impact of labour market tightness, productivity, global supply chain disruptions and energy and food price shocks. Finally, the model generates conditional projections based on these exogenous shocks, enabling a more robust cross-check of inflation forecasts during times of significant global economic disturbances.
- 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
- 1 February 2024
- OCCASIONAL PAPER SERIES - No. 337Details
- Abstract
- In the low inflation and low interest rate environment that prevailed over the period 2013-2020, many argued that besides expansionary monetary policy, expansionary fiscal policy could also support central banks’ efforts to bring inflation closer to target. During the pandemic, proper alignment of fiscal and monetary policy was again crucial in promoting a rapid macroeconomic recovery. Since the end of 2021 an environment of higher inflation, lower growth, higher uncertainty, and higher interest rates has changed the nature of the required policy mix and poses different challenges to the interaction between monetary and fiscal policy. Following up on the work done under the ECB’s 2020 strategy review (see Debrun et al., 2021), this report explores some of the renewed challenges to monetary and fiscal policy interactions in an environment of high inflation. The main general conclusion is that, with an independent monetary policy that aims to bring inflation back to target in a timely manner, it is still possible to design fiscal policy in a way that protects vulnerable parts of society against the costs of high inflation without pulling against the central bank’s effort to tame inflation. This is more likely to be the case if fiscal measures are temporary and targeted, and if priority is given to structural reforms and public investment in support of potential growth. The latter is particularly effective in reshaping the supply side of the economy in a manner that is likely to have a lasting positive structural impact.
- JEL Code
- E22 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Capital, Investment, Capacity
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
E62 : Macroeconomics and Monetary Economics→Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook→Fiscal Policy
- 10 October 2023
- RESEARCH BULLETIN - No. 111Details
- Abstract
- Climate change has implications for price stability and the work of central banks. It may increase the volatility and heterogeneity of inflation, and hotter summers may lead to more frequent and persistent upward pressures on food and services inflation. Our empirical study provides evidence for the four largest euro area economies and outlines the relationship between temperature and inflation.
- JEL Code
- Q54 : Agricultural and Natural Resource Economics, Environmental and Ecological Economics→Environmental Economics→Climate, Natural Disasters, Global Warming
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
C32 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models, Diffusion Processes
- 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
- 22 March 2023
- WORKING PAPER SERIES - No. 2798Details
- Abstract
- This paper assesses the impact of weather shocks on inflation components in the four largest euro area economies. We combine high-frequency weather data with monthly data on inflation and output growth within a set of Bayesian Vector Autore-gressions which explicitly considers the seasonal dependence of the shock. Results suggest the presence of significant country asymmetries and seasonal responses of inflation to temperature shocks, mainly via food, energy, and service prices. An increase in monthly mean temperatures has inflationary effects in summer and au-tumn, with a stronger response in warmer euro area countries. An increase in temperature variability has significant upward impacts on inflation rates over and above the impacts of changes in means.
- JEL Code
- Q54 : Agricultural and Natural Resource Economics, Environmental and Ecological Economics→Environmental Economics→Climate, Natural Disasters, Global Warming
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
C32 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models, Diffusion Processes
- 14 October 2021
- WORKING PAPER SERIES - No. 2608Details
- Abstract
- The macroeconomic effects of climate-related events and climate policies depend on the interaction between demand- and supply-type of shocks that those events and policies imply. Using a panel of 24 OECD countries for the sample 1990-2019 and a standard macroeconomic framework, the paper tests the combined effect of (1) climate change, (2) environmental policies and (3) environment-related technologies on the macroeconomy. Results show that climate change and policies to counteract them have a significant, albeit not sizeable, macroeconomic effects over the business cycle. We find evidence that physical risks work as negative demand shocks while transition policies or technology improvements resemble downward supply movements. Furthermore, the disruptive effects on the economy are exacerbated for countries without carbon tax or with a high exposure to natural disasters. Overall our results support the need for a uniform policy mix to counteract climate change with a balance between demand-pull and technology-push policies.
- JEL Code
- C11 : Mathematical and Quantitative Methods→Econometric and Statistical Methods and Methodology: General→Bayesian Analysis: General
C33 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Panel Data Models, Spatio-temporal Models
E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies
Q5 : Agricultural and Natural Resource Economics, Environmental and Ecological Economics→Environmental Economics
- 21 September 2021
- OCCASIONAL PAPER SERIES - No. 271Details
- Abstract
- This paper analyses the implications of climate change for the conduct of monetary policy in the euro area. It first investigates macroeconomic and financial risks stemming from climate change and from policies aimed at climate mitigation and adaptation, as well as the regulatory and fiscal effects of reducing carbon emissions. In this context, it assesses the need to adapt macroeconomic models and the Eurosystem/ECB staff economic projections underlying the monetary policy decisions. It further considers the implications of climate change for the conduct of monetary policy, in particular the implications for the transmission of monetary policy, the natural rate of interest and the correct identification of shocks. Model simulations using the ECB’s New Area-Wide Model (NAWM) illustrate how the interactions of climate change, financial and fiscal fragilities could significantly restrict the ability of monetary policy to respond to standard business cycle fluctuations. The paper concludes with an analysis of a set of potential monetary policy measures to address climate risks, insofar as they are in line with the ECB’s mandate.
- JEL Code
- 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
Q54 : Agricultural and Natural Resource Economics, Environmental and Ecological Economics→Environmental Economics→Climate, Natural Disasters, Global Warming
- 21 September 2021
- OCCASIONAL PAPER SERIES - No. 267Details
- 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
- 9 August 2021
- WORKING PAPER SERIES - No. 2583Details
- Abstract
- The link between US labor cost and price inflation has weakened notably over the past three decades. In this paper we document this decline and analyse potential contributing factors. We consider four important trends that have shaped the US economy of late: (i) improved anchoring of inflation expectations; (ii) the changing constellation of shocks hitting the economy; (iii) increased trade integration and (iv) rising firm market power. We find that the improved anchoring of inflation expectations has played a particularly relevant role but also that the latter two trends offer promising avenues to understand the decline in pass-through from labor cost to price inflation. Our results also bring supportive evidence to the view taken by the FED in the context of its monetary policy strategy review that a robust job market can be sustained without causing an outbreak of inflation.
- 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
E24 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Employment, Unemployment, Wages, Intergenerational Income Distribution, Aggregate Human Capital
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
- 16 September 2019
- WORKING PAPER SERIES - No. 2315Details
- 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
- 4 February 2019
- WORKING PAPER SERIES - No. 2235Details
- Abstract
- This paper documents, for the first time in a systematic manner, the link between labor cost and price inflation in the euro area. Using country and sector quarterly data over the period 1985Q1-2018Q1 we find a strong link between labor cost and price inflation in the four major economies of the euro area and across the three main sectors. The dynamic interaction between prices and wages is time-varying and depends on the state of the economy and on the shocks hitting the economy. Our results show that it is more likely that labor costs are passed on to price inflation with demand shocks than with supply shocks. However, the pass-through is systematically lower in periods of low inflation as compared to periods of high inflation. These results confirm that, under circumstances of predominantly demand shocks, labor cost increases will be passed on to prices. Coming from a period of low inflation, however, this pass-through could be moderate at least until inflation stably reaches a sustained path.
- 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
E24 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Employment, Unemployment, Wages, Intergenerational Income Distribution, Aggregate Human Capital
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
- 25 January 2017
- WORKING PAPER SERIES - No. 1995Details
- Abstract
- The effects of the unconventional monetary policy (UMP) measures undertaken by the U.S. Federal Reserve (and other major central banks) remain a crucial topic for research. This paper investigates their effects on the anchoring of long-term inflation expectations, a key dimension of UMP that has been largely overlooked. Our analysis provides two key insights. First, the anchoring of inflation expectations deteriorated significantly since late 2008. Second, the expansion of the Fed
- JEL Code
- C52 : Mathematical and Quantitative Methods→Econometric Modeling→Model Evaluation, Validation, and Selection
C55 : Mathematical and Quantitative Methods→Econometric Modeling→Modeling with Large Data Sets?
E43 : Macroeconomics and Monetary Economics→Money and Interest Rates→Interest Rates: Determination, Term Structure, and Effects
E44 : Macroeconomics and Monetary Economics→Money and Interest Rates→Financial Markets and the Macroeconomy - Network
- Task force on low inflation (LIFT)
- 25 January 2017
- OCCASIONAL PAPER SERIES - No. 181Details
- Abstract
- After 2012, inflation has been unexpectedly low across much of the developed world and economists speak of a
- JEL Code
- 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 - Network
- Task force on low inflation (LIFT)
- 16 November 2016
- WORKING PAPER SERIES - No. 1978Details
- Abstract
- We analyse the pass-through of monetary policy measures to lending rates to firms and households in the euro area using a unique bank-level dataset. Bank balance sheet characteristics such as the capital ratio and the exposure to sovereign debt are responsible for the heterogeneity of pass-through of conventional monetary policy changes. The location of a bank is instead irrelevant. Non-standard measures normalized the capacity of banks to grant loans resulting in a significant compression in lending rates. Banks with a high level of non-performing loans and a low capital ratio were the most responsive to the measures. Finally, we quantify the effects of non-standard policies on the real economic activity using a standard macroeconomic model and find that in absence of these measures both inflation and output would have been significantly lower.
- JEL Code
- C3 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables
E4 : Macroeconomics and Monetary Economics→Money and Interest Rates
E5 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit
G2 : Financial Economics→Financial Institutions and Services
- 8 October 2015
- WORKING PAPER SERIES - No. 1857Details
- Abstract
- This paper investigates the factors behind developments in inflation expectations in euro area, the U.S. and the U.K. over the sample 2005-2015. Our analysis unveils the presence of a quantitatively important spillover from euro area long-term inflation expectations onto international ones, in particular the U.S., since August 2014. This finding has some important implications. From a policy perspective, it contributes to explain the somewhat puzzling declines in financial indicators of inflation expectations since the autumn 2014 (Yellen, 2015). From a research perspective, our findings suggest that the relatively weak performance of term-structure models (and other econometric models) to explain developments in long-term inflation expectations in major economic areas over 2014-15 may be due to the omission of international factors. These two dimensions may well carry a significant weight on the on-going and future debate on monetary policy normalisation in major central banks.
- JEL Code
- C11 : Mathematical and Quantitative Methods→Econometric and Statistical Methods and Methodology: General→Bayesian Analysis: General
C52 : Mathematical and Quantitative Methods→Econometric Modeling→Model Evaluation, Validation, and Selection
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
- 25 March 2013
- WORKING PAPER SERIES - No. 1527Details
- Abstract
- The Euro area economic activity and banking sector have shown substantial fragility over the last years with remarkable country heterogeneity. Using detailed data on lending conditions and standards, we analyse how financial fragility has affected the transmission mechanism of the single Euro area monetary policy during the crisis until the end of 2011. The analysis shows that the monetary transmission mechanism has been time-varying and influenced by the financial fragility of the sovereigns, banks, firms and households. The impact of monetary policy on aggregate output is stronger during the financial crisis, especially in countries facing increased sovereign financial distress. This amplification mechanism, moreover, operates mainly through the credit channel, both the bank lending and the non-financial borrower balance-sheet channel. Our results suggest that the bank-lending channel has been partly mitigated by the ECB nonstandard monetary policy interventions. At the same time, when looking at the transmission through banks of different sizes, it seems that, until the end of 2011, the impact of credit frictions of borrowers have not been significantly reduced, especially in distressed countries. Since small banks tend to lend primarily to SME, we infer that the policies adopted until the end of 2011 might have fall short of reducing credit availability problems stemming from deteriorated firm net worth and risk conditions, especially for small firms in countries under stress.
- JEL Code
- E44 : Macroeconomics and Monetary Economics→Money and Interest Rates→Financial Markets and the Macroeconomy
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
G01 : Financial Economics→General→Financial Crises
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
G28 : Financial Economics→Financial Institutions and Services→Government Policy and Regulation
- 25 February 2013
- OCCASIONAL PAPER SERIES - No. 143Details
- Abstract
- This paper analyses the transmission of financial shocks to the macro-economy. The role of macro-financial linkages is investigated from an empirical perspective for the euro area as a whole, for individual euro area member countries and for other EU and OECD countries. The following key economic questions are addressed: 1) Which financial shocks have the largest impact on output over the full sample on average? 2) Are financial developments leading real activity? 3) Is there heterogeneity or a common pattern in macro-financial linkages across the euro area and do these linkages vary over time? 4) Do cross-country spillovers matter? 5) Is the transmission of financial shocks different during episodes of high stress than it is in normal times, i.e. is there evidence of non-linearities? In summary, it is found that real asset prices are significant leading indicators of real activity whereas the latter leads loan developments. Furthermore, evidence is presented that macro-financial linkages are heterogeneous across countries
- JEL Code
- C43 : Mathematical and Quantitative Methods→Econometric and Statistical Methods: Special Topics→Index Numbers and Aggregation
D11 : Microeconomics→Household Behavior and Family Economics→Consumer Economics: Theory
- 24 January 2013
- WORKING PAPER SERIES - No. 1507Details
- Abstract
- This paper provides an overview of the panel VAR models used in macroeconomics and finance. It discusses what are their distinctive features, what they are used for, and how they can be derived from economic theory. It also describes how they are estimated and how shock identification is performed, and compares panel VARs to other approaches used in the literature to deal with dynamic models involving heterogeneous units. Finally, it shows how structural time variation can be dealt with and illustrates the challanges that they present to researchers interested in studying cross-unit dynamics interdependences in heterogeneous setups.
- JEL Code
- C11 : Mathematical and Quantitative Methods→Econometric and Statistical Methods and Methodology: General→Bayesian Analysis: General
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
- 28 November 2012
- WORKING PAPER SERIES - No. 1498Details
- Abstract
- We investigate heterogeneity and spillovers in macro-financial linkages across developed economies, with a particular emphasis in the most recent recession. A panel Bayesian VAR model including real and financial variables identifies a statistically significant common component, which turns out to be very significant during the most recent recession. Nevertheless, countryspecific factors remain important, which explains the heterogeneous behaviour across countries observed over time. Moreover, spillovers across countries and between real and financial variables are found to matter: A shock to a variable in a given country affects all other countries, and the transmission seems to be faster and deeper between financial variables than between real variables. Finally, shocks spill over in a heterogeneous way across countries.
- JEL Code
- C11 : Mathematical and Quantitative Methods→Econometric and Statistical Methods and Methodology: General→Bayesian Analysis: General
C33 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Panel Data Models, Spatio-temporal Models
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
- 18 August 2011
- WORKING PAPER SERIES - No. 1367Details
- Abstract
- We investigate the similarities of macroeconomic fluctuations in the Mediterranean basin and their convergence. A model with three indicators, covering the West, the East and the MENA portions of the Mediterranean, characterizes well the historical experience since the early 1980. Convergence and divergence coexist in the region and are reversible. Except for the West, domestic cyclical fluctuations are still due to national and idiosyncratic causes. The outlook for the next few years looks rosier for the MENA and the East blocks than for the West.
- JEL Code
- C11 : Mathematical and Quantitative Methods→Econometric and Statistical Methods and Methodology: General→Bayesian Analysis: General
C33 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Panel Data Models, Spatio-temporal Models
E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
- 22 July 2010
- WORKING PAPER SERIES - No. 1228Details
- Abstract
- Any empirical analysis of the credit channel faces a key identification challenge: changes in credit supply and demand are difficult to disentangle. To address this issue, we use the detailed answers from the US and the confidential and unique Euro area bank lending surveys. Embedding this information within a standard VAR model, we find that: (1) the credit channel is active through the balance-sheets of households, firms and banks; (2) the credit channel amplifies the impact of a monetary policy shock on GDP and inflation; (3) for business loans, the impact through the (supply) bank lending channel is higher than through the demand and balance-sheet channels. For household loans the demand channel is the strongest; (4) during the crisis, credit supply restrictions to firms in the Euro area and tighter standards for mortgage loans in the US contributed significantly to the reduction in GDP.
- JEL Code
- E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
E44 : Macroeconomics and Monetary Economics→Money and Interest Rates→Financial Markets and the Macroeconomy
E5 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit
G01 : Financial Economics→General→Financial Crises
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
- 30 September 2009
- WORKING PAPER SERIES - No. 1089Details
- Abstract
- This paper explores the role that the imperfect knowledge of the structure of the economy plays in the uncertainty surrounding the effects of rule-based monetary policy on unemployment dynamics in the euro area and the US. We employ a Bayesian model averaging procedure on a wide range of models which differ in several dimensions to account for the uncertainty that the policymaker faces when setting the monetary policy and evaluating its effect on real economy. We find evidence of a high degree of dispersion across models in both policy rule parameters and impulse response functions. Moreover, monetary policy shocks have very similar recessionary effects on the two economies with a different role played by the participation rate in the transmission mechanism. Finally, we show that a policy maker who does not take model uncertainty into account and selects the results on the basis of a single model may come to misleading conclusions not only about the transmission mechanism, but also about the differences between the euro area and the US, which are on average essentially small.
- JEL Code
- C11 : Mathematical and Quantitative Methods→Econometric and Statistical Methods and Methodology: General→Bayesian Analysis: General
E24 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Employment, Unemployment, Wages, Intergenerational Income Distribution, Aggregate Human Capital
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
- 27 January 2009
- WORKING PAPER SERIES - No. 996Details
- Abstract
- The yield spread between nominal and inflation-linked bonds (or break-even inflation rates, BEIR) is a fundamental indicator of inflation expectations (and associated premia). This paper investigates which macroeconomic and financial variables explain BEIRs. We evaluate a large number of potential explanatory variables through Bayesian model selection techniques and document their explanatory power at different horizons. At short horizons, actual inflation dynamics is the main determinant of BEIRs. At long horizons, financial variables (i.e. term spread, bond market volatility) become increasingly relevant, but confidence and cyclical indicators remain important.
- JEL Code
- C11 : Mathematical and Quantitative Methods→Econometric and Statistical Methods and Methodology: General→Bayesian Analysis: General
C52 : Mathematical and Quantitative Methods→Econometric Modeling→Model Evaluation, Validation, and Selection
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
- 20 December 2007
- WORKING PAPER SERIES - No. 846Details
- Abstract
- This paper explores the role of model and vintage combination in forecasting, with a novel approach that exploits the information contained in the revision history of a given variable. We analyse the forecast performance of eleven widely used models to predict inflation and GDP growth, in the three dimensions of accuracy, uncertainty and stability by using the real-time data set for macroeconomists developed at the Federal Reserve Bank of Philadelphia. Instead of following the common practice of investigating only therelationship between first available and fully revised data, we analyse the entire revision history for each variable and extract a signal from the entire distribution of vintages of a given variable to improve forecast accuracy and precision. The novelty of our study relies on the interpretation of the vintages of a real time data base as related realizations or units of a panel data set. The results suggest that imposing appropriate weights on competing models of inflation forecasts and output growth - reflecting the relative ability each model has over different sub-sample periods - substantially increases the forecast performance. More interestingly, our results indicate that augmenting the information set with a signal extracted from all available vintages of time-series consistently leads to a substantial improvement in forecast accuracy, precision and stability.
- 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
C33 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Panel Data Models, Spatio-temporal Models
C53 : Mathematical and Quantitative Methods→Econometric Modeling→Forecasting and Prediction Methods, Simulation Methods
- 13 February 2007
- WORKING PAPER SERIES - No. 725Details
- Abstract
- This paper explores the role that inflation forecasts play in the uncertainty surrounding the estimated effects of alternative monetary rules on unemployment dynamics in the euro area and the US. We use the inflation forecasts of 8 competing models in a standard Bayesian VAR to analyse the size and the timing of these effects, as well as to quantify the uncertainty relative to the different inflation models under two rules. The results suggest that model uncertainty can be a serious issue and strengthen the case for a policy strategy that takes into account several sources of information. We find that combining inflation forecasts from many models not only yields more accurate forecasts than those of any specific model, but also reduces the uncertainty associated with the real effects of policy decisions. These results are in line with the model-combination approach that central banks already follow when conceiving their strategy.
- JEL Code
- C53 : Mathematical and Quantitative Methods→Econometric Modeling→Forecasting and Prediction Methods, Simulation Methods
E24 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Employment, Unemployment, Wages, Intergenerational Income Distribution, Aggregate Human Capital
E37 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Forecasting and Simulation: Models and Applications
- 26 June 2006
- WORKING PAPER SERIES - No. 646Details
- Abstract
- The paper presents the Dutch country block of the ESCB Multi-Country Model (MCM) for the euro area. We show how a theoretical model is translated into an econometric specification and how this specification is in turn estimated and used in the projection exercises of the E(S)CB. The dynamic properties of the model are analyzed and the effects of six exogenous shocks to the economy discussed. The long run simulations performed deliver responses of the baseline economy in line with both macroeconomic theory and practice, from a quantitative and a qualitative point of view.
- 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
- 20 April 2006
- WORKING PAPER SERIES - No. 603Details
- Abstract
- This paper describes a methodology to estimate the coefficients, to test specification hypotheses and to conduct policy exercises in multi-country VAR models with cross unit interdependencies, unit specific dynamics and time variations in the coefficients. The framework of analysis is Bayesian: a prior flexibly reduces the dimensionality of the model and puts structure on the time variations; MCMC methods are used to obtain posterior distributions; and marginal likelihoods to check the fit of various specifications. Impulse responses and conditional forecasts are obtained with the output of MCMC routine. The transmission of certain shocks across G7 countries is analyzed.
- JEL Code
- C3 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables
C5 : Mathematical and Quantitative Methods→Econometric Modeling
E5 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit
- 23 March 2006
- WORKING PAPER SERIES - No. 597Details
- Abstract
- Surprisingly it did not, or at least not directly. Using micro data on consumer prices and sectoral inflation rates from 6 euro area countries, spanning several years before and after the introduction of the euro, we look at whether EMU has altered the behaviour of retail price setting and/or inflation dynamics. We find no evidence that anything has changed around 1999 - if anything, persistence may have slightly increased. At the end of 2001 and in the beginning of 2002 (period surrounding the euro cash changeover) retail price adjustment frequencies, both up and down, increased substantially, while the magnitude of the price adjustment, also both up and down, was smaller than otherwise. However, both settled quickly back to the earlier patterns. On the contrary, we do find evidence of a decline in the persistence of the inflation process in the mid-1990s. This could be due to a structural change in private inflationary expectations due, at least in part, to policies linked to the preparation of EMU; however, this interpretation is weakened by the fact that a similar decline occurred also in the US.
- JEL Code
- 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 - Network
- Proceedings of June 2005 workshop on what effects is EMU having on the euro area and its member countries?
- 31 October 2005
- WORKING PAPER SERIES - No. 537Details
- Abstract
- This paper shows that inflation in industrialized countries is largely a global phenomenon. First, inflations of (22) OECD countries have a common factor that alone account for nearly 70% of their variance. This large variance share that is associated to Global Inflation is not only due to the trend components of inflation (up from 1960 to 1980 and down thereafter) but also to fluctuations at business cycle frequencies. Second, Global Inflation is, consistently with standard models of inflation, a function of real developments at short horizons and monetary developments at longer horizons. Third, there is a very robust "error correction mechanism" that brings national inflation rates back to Global Inflation. This model consistently beats the previous benchmarks used to forecast inflation 1 to 8 quarters ahead across samples and ountries.
- JEL Code
- 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
F42 : International Economics→Macroeconomic Aspects of International Trade and Finance→International Policy Coordination and Transmission
- 27 February 2004
- WORKING PAPER SERIES - No. 312Details
- Abstract
- This paper examines the properties of G-7 cycles using a multicountry Bayesian panel VAR model with time variations, unit specific dynamics and cross country interdependences. We demonstrate the presence of a significant world cycle and show that country specific indicators play a much smaller role. We detect differences across business cycle phases but, apart from an increase in synchronicity in the late 1990s, find little evidence of major structural changes. We also find no evidence of the existence of an Euro area specific cycle or of its emergence in the 1990s.
- JEL Code
- C11 : Mathematical and Quantitative Methods→Econometric and Statistical Methods and Methodology: General→Bayesian Analysis: General
C33 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Panel Data Models, Spatio-temporal Models
E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
- 1 September 2003
- WORKING PAPER SERIES - No. 263Details
- Abstract
- To measure contagion empirically, we propose using a Bayesian time-varying coefficient model estimated with Markov Chain Monte Carlo methods. The proposed measure works in the joint presence of heteroskedasticity and omitted variables and does not require knowledge of the timing of the crisis. It distinguishes contagion not only from interdependence but also from structural breaks. It can be used to investigate positive as well as negative contagion. The proposed measure appears to work well using both simulated and actual data.
- JEL Code
- C11 : Mathematical and Quantitative Methods→Econometric and Statistical Methods and Methodology: General→Bayesian Analysis: General
C15 : Mathematical and Quantitative Methods→Econometric and Statistical Methods and Methodology: General→Statistical Simulation Methods: General
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
G15 : Financial Economics→General Financial Markets→International Financial Markets
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