Using a dynamic stochastic general equilibrium model (DSGE) model with households’, firms’, and banks’ default calibrated for Portugal, we assess the impact of some prudential policy measures adopted to mitigate COVID-19 economic effects: the flexibility measure and the dividends pay-out restriction. The joint use of the measures reinforces the support for credit achieved using the flexibility measure only and reduces the effort of banks to rebuild capital buffers once the pandemic crisis is over. Given the recovery and the measures’ withdrawal, we also consider distinct paths for replenishing capital buffers. Shorter transitions strengthen banks’ resilience, but longer transitions may be more suitable to ensure a smooth flow of lending to the economy.

Using US quarterly data (1967–2023), including inflation’s post-pandemic surge and decline alongside monetary policies characterized by quantitative easing before refocusing on the 2% target, we utilize traditional and novel econometric tools to assess the stability of key macroeconomic variables’ responses to monetary shocks. Our findings confirm the relevance of a broad Divisia aggregate in understanding monetary policy transmission and highlight its empirical importance in explaining output and price dynamics across decades. Time-varying impulse response functions (IRFs) reveal consistent and puzzle-free price responses to Divisia-based monetary shocks throughout the sample, aligning with theory. Time-varying IRFs indicate that pandemic-related outliers in GDP (2020Q2) do not disrupt results. In contrast, Fed Funds rate or shadow policy interest rate shocks often yield puzzling outcomes across earlier and extended periods.

We construct a Divisia money measure for U.K. households and private non-financial corporations and a corresponding dual user cost index employing a consistent methodology from 1977 up to the present. Our joint construction of both the Divisia quantity index and the Divisia price dual facilitates an investigation of structural vector autoregresssion models (SVARs) over a long sample period of the type of non-recursive identifications explored by Belongia and Ireland (2016, 2018), as well as the block triangular specification advanced by Keating et al. (2019). An examination of the U.K. economy reveals that structures that consider a short-term interest rate to be the monetary policy indicator generate unremitting price puzzles. In contrast, we find sensible economic responses in various specifications that treat our Divisia measure as the indicator variable.

This paper studies the role of monetary policy for the dynamics of US mortgage debt, which accounts for the largest part of household debt. A time-varying parameter vector autoregressive (VAR) model allows us to study the variation in the sensitivity of mortgage debt to monetary policy. We find that an identically sized policy shock became less effective over time. We use a dynamic stochastic general equilibrium model to show that a fall in the share of adjustable rate mortgages (ARMs) can replicate this finding. Calibrating the model to the drop in the ARM share since the 1980s yields a decline in the sensitivity of housing debt to monetary policy which is quantitatively similar to the VAR results. A sacrifice ratio for mortgage debt reveals that a policy tightening directed toward reducing household debt became more expensive in terms of a loss in employment. Counterfactuals show that this result cannot be attributed to changes in monetary policy itself.

This article proposes to insert a bank capital channel (BCC) in the theoretical framework proposed by Bernanke et al. (1999) (BGG), in order 1) to evaluate the mean features of the BCC and 2) to assess the benefits of a countercyclical prudential measure. In a costly state verification framework, banks are charged a financing premium on their external funds which depends on the structure of their balance sheets and which then fluctuates in a counter-cyclical way. This premium is lastly passed on to firms' credit conditions. Simulations confirm that shocks are more amplified than in the BGG model, and confirm the importance of the financial context for macroeconomic volatility. Given the effects of this channel and the ineffectiveness of monetary policy in a capital crunch context, the model finally allows a conclusive evaluation of the advantages associated with a preemptive and counter-cyclical prudential measure in a DSGE model to be made.

This paper uses a variant of the IMF's Global Economy Model (GEM) to examine the macroeconomic impact of the rise in energy prices since the end of 2003 in the Euro Area, the United Kingdom and the United Sates. The analysis illustrates how the impact varies across these countries based on their level of energy use and energy production. In addition, the analysis uses Euro Area simulations to consider how the macroeconomic implications depend on the factors driving higher energy prices. If labour supply or tradable sector productivity increases in emerging Asian economies are an important factor driving energy price increases, then industrial countries receive some positive terms-of-trade effects coming through non-energy tradable goods that offset some of the negative implications of permanently higher real energy prices. The stronger are the industrial countries' trade links with emerging Asia, the larger will be the offsets.