The severe repercussions of the latest financial crisis highlighted the crucial role of the financial sector in the propagation of economic and financial shocks. In this paper we analyse the role of financial market frictions in business cycle fluctuations and in the transmission of monetary...

This paper develops a macroeconomic model of the interaction between consumer debt and firm debt over the business cycle. I incorporate interest rate spreads generated by firm and household loan default risk into a real business cycle model. I estimate the model on US aggregate data. This allows...

This paper assesses various capital and labor adjustment costs functions estimating a general equilibrium framework with Bayesian methods using US aggregate data. The estimation finds that the adjustment costs are convex in both capital and labor and allowing for their joint interaction is...

After the recent banking crisis in 2008, financial market conditions have turned out to be a relevant factor for economic fluctuations. This paper provides a quantitative assessment of the impact of financial frictions on the U.S. business cycle. The analysis compares the original Smets and...

Using Bayesian methods, I estimate a DSGE model where a recession is initiated by losses suffered by banks and exacerbated by their inability to extend credit to the real sector. The event triggering the recession has the workings of a redistribution shock: a small sector of the economy --...

We estimate the output gap that is consistent with a fully specified DSGE model. Given the structural parameters estimated using Bayesian methods, we estimate the output gap that is defined as a deviation of output from its flexible-price equilibrium. Our output gap illustrates the U.S. business...

This paper uses a dynamic stochastic general equilibrium model with credit market imperfections to estimate the role of credit market shocks and monetary policy in us business cycles. The estimated model captures much of the historical narrative regarding the conduct of monetary policy and...

We provide a novel methodology for estimating time-varying weights in linear prediction pools, which we call Dynamic Pools, and use it to investigate the relative forecasting performance of DSGE models with and without financial frictions for output growth and inflation from 1992 to 2011. We...

We provide a novel methodology for estimating time-varying weights in linear prediction pools, which we call dynamic pools, and use it to investigate the relative forecasting performance of dynamic stochastic general equilibrium (DSGE) models, with and without financial frictions, for output...

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...