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The multivariate analysis of a panel of economic and financial time series with mixed frequencies is a challenging problem. The standard solution is to analyze the mix of monthly and quarterly time series jointly by means of a multivariate dynamic model with a monthly time index: artificial...
Persistent link: https://www.econbiz.de/10011256800
short-term forecasting models. These empirical findings have been established for different macroeconomic data sets and … specification is most effective in its forecasting performance. Furthermore, the forecast performances of the different … extended empirical out-of-sample forecasting competition for quarterly growth of gross domestic product in the euro area and …
Persistent link: https://www.econbiz.de/10011257503
The multivariate analysis of a panel of economic and financial time series with mixed frequencies is a challenging problem. The standard solution is to analyze the mix of monthly and quarterly time series jointly by means of a multivariate dynamic model with a monthly time index: artificial...
Persistent link: https://www.econbiz.de/10010491332
short-term forecasting models. These empirical findings have been established for different macroeconomic data sets and … specification is most effective in its forecasting performance. Furthermore, the forecast performances of the different … extended empirical out-of-sample forecasting competition for quarterly growth of gross domestic product in the euro area and …
Persistent link: https://www.econbiz.de/10010491343
The multivariate analysis of a panel of economic and financial time series with mixed frequencies is a challenging problem. The standard solution is to analyze the mix of monthly and quarterly time series jointly by means of a multivariate dynamic model with a monthly time index: artificial...
Persistent link: https://www.econbiz.de/10010391543
short-term forecasting models. These empirical findings have been established for different macroeconomic data sets and … specification is most effective in its forecasting performance. Furthermore, the forecast performances of the different … extended empirical out-of-sample forecasting competition for quarterly growth of gross domestic product in the euro area and …
Persistent link: https://www.econbiz.de/10010395082
We introduce a new model for time-varying spatial dependence. The model extends the well-known static spatial lag model. All parameters can be estimated conveniently by maximum likelihood. We establish the theoretical properties of the model and show that the maximum likelihood estimator for the...
Persistent link: https://www.econbiz.de/10011257308
This discussion paper resulted in an article in the <I>International Journal of Forecasting</I> (2014). Volume 30 …, pages 572-584.<P> We explore a new approach to the forecasting of macroeconomic variables based on a dynamic factor state … nowcasting and forecasting purposes. Given a dynamic factor model as the data generation process, we provide Monte Carlo evidence …
Persistent link: https://www.econbiz.de/10011257430
We explore a new approach to the forecasting of macroeconomic variables based on a dynamic factor state space analysis … forecasting purposes. Given a dynamic factor model as the data generation process, we provide Monte Carlo evidence for the finite … unbalanced panel contain quarterly and monthly variables. The forecasting accuracy is measured against a set of benchmark models …
Persistent link: https://www.econbiz.de/10010326452
We introduce a new model for time-varying spatial dependence. The model extends the well-known static spatial lag model. All parameters can be estimated conveniently by maximum likelihood. We establish the theoretical properties of the model and show that the maximum likelihood estimator for the...
Persistent link: https://www.econbiz.de/10010491331