We build a business cycle model characterized by endogenous firm dynamics, where banks may prefer debt renegotiation, i.e. non-performing exposures, to outright borrowers' default. Debt renegotiations per se do not have adverse effects in the event of financial crisis episodes, but a large share...

We develop a new model of cycles and crises in emerging markets, featuring an occasionally binding borrowing constraint and stochastic volatility, and estimate it with quarterly data for Mexico since 1981. We propose an endogenous regime‐switching formulation of the occasionally binding...

We offer a contribution to the analysis of optimal monetary policy. The standard approach to determine what policy rule a central bank should follow is to take a single structural model and minimize the unconditional volatilities of inflation and real activity. In this paper, we propose monetary...

The standard approach to solving linear DSGE models is to apply the QZ method. It is a one-shot algorithm that leaves the researcher with little alternative than to seek a different algorithm should the result be numerically unsatisfactory. We develop an iterative implementation of QZ that...

I develop a methodology for Bayesian estimation of globally solved, non-linear macroeconomic models. A novel feature of my method is the use of a mixture density network to approximate the distribution of initial states. I use the methodology to estimate a medium-scale, two-agent New Keynesian...

There has been a long-running debate in international macroeconomics about whether there is purchasing power parity (PPP) in the data. But while the literature has been dominated by reduced-form evidence focusing on the real exchange rate dynamics including its long-run behaviour, little...

In Japan, the inflation rate declined to near-zero, whereas the monetary policy faced a zero lower bound (ZLB) in the 1990s. We examine whether trend inflation had fallen to near-zero prior to the ZLB. To achieve this, we estimate Japanese pre-2000 trend inflation developing a Markov-switching...

We construct a New-Keynesian E-DSGE model with energy disaggregation and financial intermediaries to show how energy-related fiscal and macroprudential policies interact in affecting the euro area macroeconomy and carbon emissions. When a shock to the price of fossil resources propagates through...

Purpose This study aims to elucidate the dynamics of monetary and fiscal policy interactions in Brazil, focusing on the impacts of positive shocks in government consumption and interest rates. By comparing rational and behavioral agent responses, it clarifies how these frameworks influence gross...

This paper examines the implications of fuel subsidy removal in an oil-producing economy, focusing on the central bank's response to volatile oil prices. Using a Markov-switching dynamic stochastic general equilibrium model, we analyze the welfare effects of this policy change under different...

This paper examines the influence of financial constraints on the transmission of monetary policy shocks across heterogeneous firms. To this end, we develop a Dynamic Stochastic General Equilibrium (DSGE) model incorporating firm heterogeneity, nominal rigidity, and financial frictions....

I prove that in any linearized general equilibrium model with existence and uniqueness of equilibrium, any present response to a future shock always becomes weaker the further away the shock is. There is no forward guidance puzzle in any sensible general equilibrium model if forward guidance is...

Leaning against the wind of credit booms is a monetary policy that is tighter than what is consistent with standard inflation targeting. This way the central bank tries to address excessive household debt. While the merits of such policy have been analysed, I argue that there are two dimensions...

Fiscal multipliers provide a way of quantifying the GDP gain for a given (discretionary) fiscal policy intervention. I compute government consumption multipliers for New Zealand, in normal times and when monetary policy is constrained at the effective lower bound, using an estimated...

We develop a two-country DSGE model with financial frictions to study the transition from a steady-state without CBDC to one in which the home country issues a CBDC. The CBDC provides households with a liquid, convenient and storage-cost-free means of payments which reduces the market power of...

In this short paper we review the intellectual history of indirect inference as a methodology in its progress from an informal method for evaluating early models of representative agents to formally testing DSGE models of the economy; and we have considered the issues that can arise in carrying...

Consumer credit spreads significantly impact consumption and asset dynamics, affecting indebted households' spending behavior and the income sensitivity of consumption. Analyzing Danish data, we find that elevated credit spreads reduce consumption of indebted households. Our results suggest that...

This paper studies large sample classical and Bayesian inference in a prototypical linear DSGE model and demonstrates that inference on the structural parameters based on a Gaussian likelihood is unaffected by departures from Gaussianity of the structural shocks. This surprising result is due to...

The evidence suggests that monetary policy transmission is asymmetric over the business cycle. Interacting financing frictions with a preference for liquidity provides an explanation for this fact. Our mechanism generates monetary asymmetries in a model that jointly reproduces a set of asset...

We evaluate how the euro area economy would have performed since mid-2021 under alternative monetary policy strategies. We use the ECB's workhorse estimated DSGE model and contrast actual policy conduct against alternative strategies which differ in their "lower-for-longer" commitment as well as...

We explore the natural rate of interest, shortly r ∗ , in emerging economies. If economic growth originates from convergence, then growth, say, from technological progress will be lower than we find in the data and, hence, r ∗ will be lower. Ignoring convergence upwardly biases our estimates...