Economic theories are often encoded in equilibrium models that cannot be directly estimated because they lack features that, while inessential to the theoretical mechanism that is central to the specific theory, would be essential to fit the data well. We propose an econometric approach that...

We present the estimated large-scale three-region DSGE model GEAR picturing Germany, the Euro Area and the Rest of the world. Compared to existing models of this type, GEAR incorporates a comprehensive fiscal block, involuntary unemployment and a complex international structure. We use the model...

This paper presents a novel Bayesian method for estimating dynamic stochastic general equilibrium (DSGE) models subject to a constrained posterior distribution of the implied Sharpe ratio. We apply our methodology to a DSGE model with habit formation in consumption and leisure, using an estimate...

We build a two-country version of the DSGE model in Gali & Monacelli (2005), which extends for a small open economy the new Keynesain model used as tool for monetary policy analysis in closed economies. A distinctive feature of the model is that the terms of trade enters directly into the new...

This paper builds a small size dynamic stochastic general equilibrium (DSGE) model with government, aiming to replicate key features of the Brazilian economy. I first calibrate and then I use Bayesian methods to estimate the model for Brazil, with 20 years of quarterly aggregate data. Contrary...

We assess to what extent wage inflation policies in Germany could contribute to an economic rebalancing in the euro area and the rest of the world. We find that a rise in nominal wage inflation has positive short-run effects on inflation and output in Germany and the rest of the euro area. The...

We analyze an estimated stochastic general equilibrium model that replicates key macroeconomic and financial stylized facts during the Great Moderation of 1983-2007. Our model predicts a sizeable and volatile nominal term premium - comparable to recent reduced-form empirical estimates - with...

We estimate a DSGE model for Brazil that includes both anticipated and unanticipated fiscal shocks. The model contains a relatively detailed public sector, which allows us to investigate the effects of anticipation for a much wider array of fiscal instruments than previously considered in the...

We apply Bayesian Model Averaging and a frequentistic model space analysis to assess the pricing-determinants of credit default swaps (CDS). Our study focuses on the complete model space of plausible models covering most of the variables and specifications used elsewhere in the literature,...