This paper analyses how labour market heterogeneity affects unemployment, productivity and business cycle dynamics that are relevant for monetary policy. The model matches remarkably well the short and long run dynamics of skilled and unskilled workers. Skill mismatch and skill-specific labour...

IT progress and its application to the financial industry have inspired central banks and academics to analyse the merits of central bank digital currencies (CBDC) accessible to the broad public. This paper first reviews the advantages and risks of such CBDC. It then discusses two prominent...

We use a cross-country sample of monthly observations for quantitative easing (QE) treatments in order to study the causal effect of such policies on a large set of economic and financial outcome variables. We address potential endogeneity by re-randomising the sample and applying the augmented...

This paper uses a factor-augmented vector autoregressive model (FAVAR) estimated on U.S. data in order to analyze monetary transmission via private sector balance sheets, credit risk spreads and asset markets in an integrated setup and to explore the role of monetary policy in the three...

This paper gives money a role in providing cheap collateral in a model of banking; besides the Taylor Rule, monetary policy can affect the risk-premium on bank lending to firms by varying the supply of M0, so at the zero bound monetary policy is effective; fiscal policy crowds out investment via...

This paper develops a model of the Chinese economy using a DSGE framework that accommodates a banking sector and money. The model is used to shed light on the period of the recent period of financial crisis. It differs from other applications in the use of indirect inference to estimate and test...

Recent research developed under the ECB research task force on Monetary Policy, Macroprudential Policy and Financial Stability highlights the existence of trade-offs and spillovers that monetary policy and macroprudential authorities face when deciding on their policy interventions, Monetary...

The downturn in the world economy following the global banking crisis has left the Chinese economy relatively unscathed. This paper develops a model of the Chinese economy using a DSGE framework with a banking sector to shed light on this episode. It differs from other applications in the use of...

We characterise the distribution of expected GDP growth during the Great Influenza Pandemic (known also as Spanish Flu) using a non-linear method in a country panel setting. We show that there are non-negligible risks of large GDP losses with the 5% left tail of the distribution suggesting a...

Time-varying parameter (TVP) models have the potential to be over-parameterized, particularly when the number of variables in the model is large. Global-local priors are increasingly used to induce shrinkage in such models. But the estimates produced by these priors can still have appreciable...