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In the dynamic stochastic general equilibrium (DSGE) literature there has been an increasing aware- ness on the role … that the banking sector can play in macroeconomic activity. We present a DSGE model with financial intermediation as in … crucial in any attempted empirical analysis. Since DSGE modelling usually fails to take into account inherent nonlinearities …
Persistent link: https://www.econbiz.de/10011518833
Persistent link: https://www.econbiz.de/10011705507
This paper examines whether the presence of parameter instabilities in dynamic stochastic general equilibrium (DSGE …) models affects their forecasting performance. We apply this analysis to medium-scale DSGE models with and without financial …
Persistent link: https://www.econbiz.de/10011349997
methodology of constructing Dynamic Stochastic General Equilibrium (DSGE) consistent prior distributions for Bayesian Vector … Ravenna (2007) regarding structural VAR (SVAR) models and the normal prior density of the DSGE parameter vector. In line with … used to rank competing DSGE theories that aim to explain the same observed data (Geweke, 2005). Finally, motivated by the …
Persistent link: https://www.econbiz.de/10010339762
stochastic general equilibrium (DSGE) model. We use the DSGE model priors to determine the moments of an independent Normal …-Wishart prior for the VAR parameters. Two hyper-parameters control the tightness of the DSGE-implied priors on the autoregressive … maximize the marginal likelihood of the Bayesian VAR provides a method for isolating subsets of DSGE parameter priors that are …
Persistent link: https://www.econbiz.de/10011886093
We introduce a Combined Density Nowcasting (CDN) approach to Dynamic Factor Models (DFM) that in a coherent way accounts for time-varying uncertainty of several model and data features in order to provide more accurate and complete density nowcasts. The combination weights are latent random...
Persistent link: https://www.econbiz.de/10010465155
We introduce a Combined Density Nowcasting (CDN) approach to Dynamic Factor Models (DFM) that in a coherent way accounts for time-varying uncertainty of several model and data features in order to provide more accurate and complete density nowcasts. The combination weights are latent random...
Persistent link: https://www.econbiz.de/10013023300
We introduce a Combined Density Nowcasting (CDN) approach to Dynamic Factor Models (DFM) that in a coherent way accounts for time-varying uncertainty of several model and data features in order to provide more accurate and complete density nowcasts. The combination weights are latent random...
Persistent link: https://www.econbiz.de/10013040417
This paper examines the forecasting performance of DSGE models with and without banking intermediation for the US …
Persistent link: https://www.econbiz.de/10013028387
Persistent link: https://www.econbiz.de/10011372826