Nėra lietuvių kalba
Carlos Montes-Galdón
Economics
- Division
Euro Area External Sector
- Current Position
-
Adviser
- Fields of interest
-
Macroeconomics and Monetary Economics,Mathematical and Quantitative Methods,Other Special Topics
- Education
- 2012-2015
Ph.D. in Economics, Columbia University, New York, USA
- 2011-2012
M.Phil. in Economics, Columbia University, New York, USA
- 2009-2011
M.A. in Economics, Columbia University, New York, USA
- 2005-2009
Llicenciatura en Economia, Universitat de València, Spain
- Professional experience
- 2024-
Adviser - Euro Area External Sector Division, Directorate General Economics, European Central Bank
- 2024-2024
Adviser (temporary) - Prices and Costs Division, Directorate General Economics, European Central Bank
- 2022-2024
Lead Economist - Forecasting and Policy Modelling Division, Directorate General Economics, European Central Bank
- 2017-2023
Working Group on Econometric Modelling (WGEM) Secretary
- 2017-2022
Economist and Senior Economist - Forecasting and Policy Modelling Division, Directorate General Economics, European Central Bank
- 2015-2017
Economist - Prices and Costs Division, Directorate General Economics, European Central Bank
- Awards
- 2012
Presidential Teaching Award, Columbia University in the City of New York
- 2011
Primer Premio Nacional a la Excelencia en el Rendimiento Académico en Economía, Ministerio de Educación, España
- 2011
Excellence in Teaching Award, General Studies School, Columbia University in the City of New York
- 2011
Wueller Teaching Award, Department of Economics, Columbia University in the City of New York
- 2009
Premi extraordinari, Llicenciatura en Economia, Universitat de València
- Teaching experience
- 2014
Bayesian Statistics for Social Sciences, Columbia University in the City of New York
- 2011-2014
Macroeconomics, Columbia University in the City of New York
- 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
- 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
- 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
- 6 December 2022
- WORKING PAPER SERIES - No. 2754Details
- Abstract
- This paper proposes a new and robust methodology to obtain conditional density forecasts, based on information not contained in an initial econometric model. The methodology allows to condition on expected marginal densities for a selection of variables in the model, rather than just on future paths as it is usually done in the conditional forecasting literature. The proposed algorithm, which is based on tempered importance sampling, adapts the model-based density forecasts to target distributions the researcher has access to. As an example, this paper shows how to implement the algorithm by conditioning the forecasting densities of a BVAR and a DSGE model on information about the marginal densities of future oil prices. The results show that increased asymmetric upside risks to oil prices result in upside risks to inflation as well as higher core-inflation over the considered forecasting horizon. Finally, a real-time forecasting exercise yields that introducing market-based information on the oil price improves inflation and GDP forecasts during crises times such as the COVID pandemic.
- JEL Code
- C11 : Mathematical and Quantitative Methods→Econometric and Statistical Methods and Methodology: General→Bayesian Analysis: General
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
E37 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Forecasting and Simulation: Models and Applications
- 28 July 2022
- WORKING PAPER SERIES - No. 2689Details
- Abstract
- We provide evidence on the estimated effects of digital euro news on bank valuations and lending and find that they depend on deposit reliance and design features aimed at calibrating the quantity of CBDC. Then, we develop a quantitative DSGE model that replicates such evidence and incorporates key selected mechanisms through which CBDC issuance could affect bank intermediation and the economy. Under empirically-relevant assumptions (i.e., central bank collateral requirements and imperfect substitutability across CBDC, cash and deposits), the issuance of CBDC yields non-trivial trade-offss and effects through an expansion of the central bank balance sheet and profits. The issuance of CBDC exerts a smoothing effect on lending and real GDP by stabilizing deposit holdings. Such "stabilization effect" improves the well-known liquidity services/disintermediation trade-off induced by CBDC and permits to rank different types of CBDC rules according to individual and social preferences. Welfare-maximizing CBDC policy rules are effective in mitigating the risk of bank disintermediation and induce significant welfare gains.
- JEL Code
- E42 : Macroeconomics and Monetary Economics→Money and Interest Rates→Monetary Systems, Standards, Regimes, Government and the Monetary System, Payment Systems
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
- 2 March 2022
- OCCASIONAL PAPER SERIES - No. 290Details
- Abstract
- In the aftermath of the global financial crisis, central banks started being confronted with severe challenges that led to an unprecedented policy response in terms of the size and variety of monetary policy measures. One such measure centred on central banks communicating to the public more explicitly their future policy actions in order to influence expectations. In the case of interest rates, as the standard policy rate approached the effective lower bound, major central banks began providing forward guidance (FG) on interest rates with the intention of lowering expectations of future short-term rates. While FG had been used in certain jurisdictions before the crisis, its prominence in the monetary policy toolkit grew substantially in the aftermath of the crisis. This occasional paper summarises the work carried-out by the Eurosystem Taskforce on the macroeconomic impact of rate forward guidance (FG) in an environment of large central bank balance sheets. The analysis presented covers the period up to February 2020 so the implications of the pandemic as well as the ECB’s strategy review are beyond the scope of the Taskforce’s mandate. The paper describes the analytical challenges associated with assessing rate FG on account of the relative novelty of these policies, the lack of well-established empirical results and the sensitivity of model predictions to the expectations formation process. To overcome and address these challenges, the Taskforce took stock of all the available infrastructure and analysis within in the Eurosystem, and where needed, developed structural and empirical models and approaches to assess the macroeconomic impact of rate FG in an environment of large central bank balance sheets.
- JEL Code
- E37 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Forecasting and Simulation: Models and Applications
E43 : Macroeconomics and Monetary Economics→Money and Interest Rates→Interest Rates: Determination, Term Structure, and Effects
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. 273Details
- Abstract
- The last review of the ECB’s monetary policy strategy in 2003 followed a period of predominantly upside risks to price stability. Experience following the 2008 financial crisis has focused renewed attention on the question of how monetary and fiscal policy should best interact, in particular in an environment of structurally low interest rates and persistent downside risks to price stability. This debate has been further intensified by the economic impact of the coronavirus (COVID-19) pandemic. In the euro area, the unique architecture of a monetary union consisting of sovereign Member States, with cross-country heterogeneities and weaknesses in its overall construction, poses important challenges. Against this background, this report revisits monetary-fiscal policy interactions in the euro area from a monetary policy perspective and with a focus on the ramifications for price stability and maintaining central bank independence and credibility. The report consists of three parts. The first chapter presents a conceptual framework for thinking about monetary-fiscal policy interactions, thereby setting the stage for a discussion of specifically euro area aspects and challenges in subsequent parts of the report. In particular, it reviews the main ingredients of the pre-global financial crisis consensus on monetary-fiscal policy interactions and addresses significant new insights and refinements which have gained prominence since 2003. In doing so, the chapter distinguishes between general conceptual aspects – i.e. those aspects that pertain to an environment characterised by a single central bank and a single fiscal authority and those aspects that pertain to an environment characterised by a single central bank and many fiscal authorities (a multi-country monetary union). ...
- 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
E62 : Macroeconomics and Monetary Economics→Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook→Fiscal Policy
E63 : Macroeconomics and Monetary Economics→Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook→Comparative or Joint Analysis of Fiscal and Monetary Policy, Stabilization, Treasury Policy
F45 : International Economics→Macroeconomic Aspects of International Trade and Finance
- 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. 269Details
- Abstract
- The ECB’s price stability mandate has been defined by the Treaty. But the Treaty has not spelled out what price stability precisely means. To make the mandate operational, the Governing Council has provided a quantitative definition in 1998 and a clarification in 2003. The landscape has changed notably compared to the time the strategy review was originally designed. At the time, the main concern of the Governing Council was to anchor inflation at low levels in face of the inflationary history of the previous decades. Over the last decade economic conditions have changed dramatically: the persistent low-inflation environment has created the concrete risk of de-anchoring of longer-term inflation expectations. Addressing low inflation is different from addressing high inflation. The ability of the ECB (and central banks globally) to provide the necessary accommodation to maintain price stability has been tested by the lower bound on nominal interest rates in the context of the secular decline in the equilibrium real interest rate. Against this backdrop, this report analyses: the ECB’s performance as measured against its formulation of price stability; whether it is possible to identify a preferred level of steady-state inflation on the basis of optimality considerations; advantages and disadvantages of formulating the objective in terms of a focal point or a range, or having both; whether the medium-term orientation of the ECB’s policy can serve as a mechanism to cater for other considerations; how to strengthen, in the presence of the lower bound, the ECB’s leverage on private-sector expectations for inflation and the ECB’s future policy actions so that expectations can act as ‘automatic stabilisers’ and work alongside the central bank.
- 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
- 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
- 26 July 2021
- WORKING PAPER SERIES - No. 2572Details
- Abstract
- The secular decline in the equilibrium real interest rate observed over the past decades has materially limited the room for policy-rate reductions in recessions, and has led to a marked increase in the incidence of episodes where policy rates are likely to be at, or near, the effective lower bound on nominal interest rates. Using the ECB's New Area-Wide Model, we show that, if unaddressed, the effective lower bound can cause substantial costs in terms of worsened macroeconomic performance, as reflected in negative biases in inflation and economic activity, as well as heightened macroeconomic volatility. These costs can be mitigated by the use of nonstandard instruments, notably the joint use of interest-rate forward guidance and large-scale asset purchases. When considering alternatives to inflation targeting, we find that make-up strategies such as price-level targeting and average-inflation targeting can, if they are well-understood by the private sector, largely undo the negative biases and heightened volatility induced by the effective lower bound.
- JEL Code
- E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
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
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies
- 27 November 2020
- WORKING PAPER SERIES - No. 2495Details
- Abstract
- We estimate the effects of interest rate forward guidance (FG) using a parsimonious VAR, augmented with survey forecast data. The identification strategy of FG shocks via sign and zero restrictions is successfully tested by the recovery of true IRFs from simulated data. The identified shocks from the VAR suggest that FG has a stronger effect on macro variables and deviations are more instantaneous compared to the hump-shaped response following unanticipated changes in monetary policy. We apply this evidence to calibrate free parameters of an otherwise estimated DSGE model in order to dampen the FG Puzzle.
- JEL Code
- C54 : Mathematical and Quantitative Methods→Econometric Modeling→Quantitative Policy Modeling
E43 : Macroeconomics and Monetary Economics→Money and Interest Rates→Interest Rates: Determination, Term Structure, and Effects
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies
- 23 June 2020
- WORKING PAPER SERIES - No. 2424Details
- Abstract
- Forward guidance operates via the expectations formation process of the agents in the economy. In standard quantitative macroeconomic models, the expectations are unobserved state variables and little scrutiny is devoted to analysing the dynamic behaviour of these expectations. We show that the introduction of survey and financial market-based forecasts in the estimation of the model disciplines the expectations formation process in DSGE models. When the model-implied expectations are matched to observed expectations, the additional information of the forecasts restrains the agents’ expectations formation. We argue that the reduced volatility of the agents’ expectations dampens the model reactions to forward guidance shocks and improves the out-of-sample forecast accuracy of the model. Furthermore, we evaluate the case for introducing a discount factor as a reduced form proxy for a variety of microfounded approaches, proposed to mitigate the forward guidance puzzle. Once data on expectations is considered, the empirical support to introduce a discount factor dissipates.
- JEL Code
- C13 : Mathematical and Quantitative Methods→Econometric and Statistical Methods and Methodology: General→Estimation: General
C52 : Mathematical and Quantitative Methods→Econometric Modeling→Model Evaluation, Validation, and Selection
E3 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles
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
- 3 January 2020
- WORKING PAPER SERIES - No. 2352Details
- Abstract
- We study the incidence and severity of periods with a binding effective lower bound on nominal interest rates and the efficacy of three types of state-dependent policies—forward guidance about the path of future interest rates, large-scale asset purchases and spending-based fiscal stimulus—in mitigating the detrimental consequences of the lower bound for macroeconomic stability. Based on the ECB’s New Area-Wide Model of the euro area, our findings suggest that, if left unaddressed, the lower bound can cause substantial macroeconomic distortions. In the near term, forward guidance, if fully credible, is most powerful and can largely undo these distortions. A combination of imperfectly credible forward guidance, asset purchases and fiscal stimulus is almost equally effective, especially when asset purchases enhance the credibility of the forward-guidance policy via a signalling effect. In the long run, with an equilibrium real rate as low as zero, a combination of all three policies is needed to materially reduce the distortions.
- JEL Code
- E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
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
E62 : Macroeconomics and Monetary Economics→Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook→Fiscal Policy
- 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)
- 2022
- Journal of Economic Dynamics and Control
- 2022
- Banco de España, Documentos de Trabajo
- 2021
- Journal of Economic Dynamics and Control
- 2021
- Journal of Money, Credit and BankingEffects of State-dependent forward guidance, large-scale asset purchases and fiscal stimulus in a low-interest-rate environment