The rapid spread of COVID-19 across the globe primed a variety of non-pharmaceutical interventions (NPIs). Given these NPIs, whether the SIR parameters followed a Bayesian learning, a random walk pattern or other type of learning with evolving epidemiological data over time has implications for...

This paper investigates responses of household debt to COVID-19 related data like confirmed cases and confirmed deaths within a panel VAR framework for OECD countries. We also employ a plethora of non-pharmaceutical and pharmaceutical interventions as shocks. In terms of methodology, we opt for...

The paper examines the impact of non-pharmaceutical interventions on the initial exponential growth of the infected population and the final exponential decay of the infected population. We employ a Bayesian dynamic model to test whether there is learning, a random walk pattern, or another type...

This paper examines whether euro area unconventional monetary policies have affected the loss-absorbing buffers (that is the resilience) of the banking industry. We employ various measures to capture the effect of the broad array of programmes used by the ECB to implement balance sheet policies,...

The aim of the present study is to assess the effect of public infrastructures on the cost structure of the Chilean economy, and thereby on productivity, differentiating between two key sequential periods. A derived aim is to establish to what extent infrastructure and non-infrastructure...