This paper presents a MIDAS type mixed frequency VAR forecasting model. First, we propose a general and compact mixed … frequency VAR framework using a stacked vector approach. Second, we integrate the mixed frequency VAR with a MIDAS type Almon … the resulting non-linear MIDAS type mixed frequency VAR into a linear equation system that can be easily estimated. A …

This paper presents a MIDAS type mixed frequency VAR forecasting model. First, we propose a general and compact mixed … frequency VAR framework using a stacked vector approach. Second, we integrate the mixed frequency VAR with a MIDAS type Almon … the resulting non-linear MIDAS type mixed frequency VAR into a linear equation system that can be easily estimated. An out …

This paper presents a MIDAS type mixed frequency VAR forecasting model. First, we propose a general and compact mixed … frequency VAR framework using a stacked vector approach. Second, we integrate the mixed frequency VAR with a MIDAS type Almon … the resulting non-linear MIDAS type mixed frequency VAR into a linear equation system that can be easily estimated. A …

, MIxed DAta Sampling (MIDAS) models, mixed frequency VARs, and mixed frequency factor models. We also consider alternative …

notably with the pandemic. In a VAR, allowing the errors to have a distribution with fatter tails than the Gaussian one equips … the model to better deal with the COVID-19 shock. A standard Gaussian VAR can still be used for producing conditional …

estimate a non causal VAR with Brazilian typical data and compare its forecasts to a regular causal VAR, using the same data … determination of the effects fiscal policy, as the non causal VAR has shown substantially better predictive ability than the regular … causal VAR for that dataset. …

VAR operates with artificial series obtained from a DSGE model. The results indicate that the out-of-sample forecasting … quantitative macroeconomics. However, DSGE models were not considered as a forecasting tool until very recently. The objective of … this paper is twofold. First, we compare the forecasting ability of a canonical DSGE model for the Spanish economy with …

notably with the pandemic. In a VAR, allowing the errors to have a distribution with fatter tails than the Gaussian one equips … the model to better deal with the COVID-19 shock. A standard Gaussian VAR can still be used for producing conditional …

causal VAR with Brazilian typical data and compare its forecasts to a regular causal VAR, using the same data found to be non … fiscal policy, as the non causal VAR has shown substantially better predictive ability than the regular causal VAR for that …