Showing 1 - 10 of 210
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/10011124200
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/10011272583
-of-sample forecasting exercise, focusing on the last recession, we show that univariate Markov-switching models applied to surveys and a …
Persistent link: https://www.econbiz.de/10011277154
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/10010491381
provides the most reasonable definition of business cycles. The forecasting exercise, where the models are augmented with …
Persistent link: https://www.econbiz.de/10012143840
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/10012143855
-of-sample forecasting exercise, focusing on the last recession, we show that univariate Markov-switching models applied to surveys and a …
Persistent link: https://www.econbiz.de/10012143865
provides the most reasonable definition of business cycles. The forecasting exercise, where the models are augmented with …
Persistent link: https://www.econbiz.de/10010835410
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
from the weather forecasting literature known as `ensemble modelling'. In this approach, uncertainty about model … provide two examples of this modelling strategy: (i) forecasting inflation with a disaggregate ensemble; and (ii) forecasting …
Persistent link: https://www.econbiz.de/10004976646