We construct new indicators of the imbalance between demand and supply for the Canadian economy by using natural language processing techniques to analyze earnings calls of publicly listed firms. The results show that the text-based indicators are highly correlated with official inflation data...

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...

The International Monetary Fund (IMF, or the Fund) has undergone a number of significant policy changes and reforms in the wake of the global financial crisis. Most notably, in December 2015, the United States approved long-delayed legislation to increase the representation of developing...

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...

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...

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...