The Euro area as a whole has experienced a marked downward trend in inflation over the past decades and, concomitantly, a protracted period of depressed activity. Can permanent and gradual shifts in monetary policy be held responsible for these dynamics? To answer this question, we embed...

In this paper I estimate a New Keynesian Model with sticky prices for the Romanian economy for the period 1991-2002, using quarterly data. The estimation was made in Dynare using the Bayesian approach. The degree of the price stickiness is moderate. The model makes good predictions in terms of...

We propose an event-study research design to identify the nature and propagation of large unusual shocks in DSGE models and apply it to study the macroeconomic effects of the Covid shock. The initial outbreak is represented as the onset of a new shock process where the shock loads on wedges...

The business cycle is alive and well, and real variables respond to it more or less as they always did. Witness the Great Recession. In ation, in contrast, has gone quiescent. This paper studies the sources of this disconnect using VARs and an estimated DSGE model. It finds that the disconnect...

We estimate the approximate nonlinear solution of a small DSGE model on euro area data, using the conditional particle filter to compute the model likelihood. Our results are consistent with previous findings, based on simulated data, suggesting that this approach delivers sharper inference...

This paper proposes an optimal strategy for stabilizing macroeconomic policy to address jointly the effects of changes in the prices of food, minerals and energy (oil). Our approach differs from the general literature, which analyzes the effects of a commodity boom and therefore the solutions in...

We estimate the approximate nonlinear solution of a small DSGE model on euro area data, using the conditional particle filter to compute the model likelihood. Our results are consistent with previous findings, based on simulated data, suggesting that this approach delivers sharper inference...

We estimate the approximate nonlinear solution of a small DSGE model on euro area data, using the conditional particle filter to compute the model likelihood. Our results are consistent with previous findings, based on simulated data, suggesting that this approach delivers sharper inference...