We combine the factor augmented VAR framework with recently developed estimation and identification procedures for sparse dynamic factor models. Working with a sparse hierarchical prior distribution allows us to discriminate between zero and non-zero factor loadings. The non-zero loadings...

We combine the factor augmented VAR framework with recently developed estimation and identification procedures for sparse dynamic factor models. Working with a sparse hierarchical prior distribution allows us to discriminate between zero and non-zero factor loadings. The non-zero loadings...

We use a time-varying parameter dynamic factor model with stochastic volatility (DFM-TV-SV) estimated using Bayesian methods to disentangle the relative importance of the common component in FHFA house price movements from state-specific shocks, over the quarterly period of 1975Q2 to 2017Q4. We...

This paper estimates monetary policy shocks for Sweden between 1996-2019. I employ the Romer and Romer (2004) (R&R) approach and use annual forecasts of output growth and inflation to estimate monetary policy shocks. I complement the analysis with shocks from a recursive VAR including output,...

This paper develops an estimated New Keynesian model of a commodity-exporting economy for an integrated policy framework, integrating the full range of policies used in practice and featuring a range of nominal and real rigidities, macro-financial linkages, and transmission channels of external...

In this article we estimate a time-varying " natural " rate of interest (TVNRI) for a synthetic euro area over the period 1979Q1-2002Q4 using a small backward-looking macroeconomic model, broadly following a methodology developed by Laubach and Williams (2003) for the United States. The Kalman...

We use a time-varying parameter dynamic factor model with stochastic volatility (DFM-TV-SV) estimated using Bayesian methods to disentangle the relative importance of the common component in FHFA house price movements from state-specific shocks, over the quarterly period of 1975Q2 to 2017Q4. We...

We combine the factor augmented VAR framework with recently developed estimation and identification procedures for sparse dynamic factor models. Working with a sparse hierarchical prior distribution allows us to discriminate between zero and non-zero factor loadings. The non-zero loadings...

Este artículo estudia la interacción entre el ciclo económico y el mercado del crédito. Nuestra evidencia señala que los períodos de expansión económica gatillan en el mediano plazo, primero, aumentos de la cartera vencida, y luego, reducciones del crédito. Interpretamos este fenómeno...

This paper studies the interaction between the business cycle and the credit market. A first result is that the business cycle has procyclical effects on different types of credit (i.e., consumer, commercial and mortgage loans). The results area obtained through the identification of structural...