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Persistent link: https://www.econbiz.de/10012030940
A number of recent studies in the economics literature have focused on the usefulness of factor models in the context of prediction using "big data". In this paper, our over-arching question is whether such "big data" are useful for modelling low frequency macroeconomic variables such as...
Persistent link: https://www.econbiz.de/10009766687
Persistent link: https://www.econbiz.de/10010256842
In this paper, we empirically assess the predictive accuracy of a large group of models based on the use of principle components and other shrinkage methods, including Bayesian model averaging and various bagging, boosting, LASSO and related methods Our results suggest that model averaging does...
Persistent link: https://www.econbiz.de/10009130513
Persistent link: https://www.econbiz.de/10014226366
In this paper, we empirically assess the predictive accuracy of a large group of models based on the use of principle components and other shrinkage methods, including Bayesian model averaging and various bagging, boosting, LASSO and related methods Our results suggest that model averaging does...
Persistent link: https://www.econbiz.de/10010282841
A number of recent studies in the economics literature have focused on the usefulness of factor models in the context of prediction using "big data". In this paper, our over-arching question is whether such "big data" are useful for modelling low frequency macroeconomic variables such as...
Persistent link: https://www.econbiz.de/10012974171
A number of recent studies in the economics literature have focused on the usefulness of factor models in the context of prediction using "big data". We add to this literature by analyzing whether "big data" are useful for modelling low frequency macroeconomic variables such as unemployment,...
Persistent link: https://www.econbiz.de/10012996829
We utilize mixed frequency factor-MIDAS models for the purpose of carrying out pastcasting, nowcasting, and forecasting experiments using real-time data. We also introduce a new real-time Korean GDP dataset, which is the focus of our experiments. The methodology that we utilize involves first...
Persistent link: https://www.econbiz.de/10012952732
In this paper, we empirically assess the predictive accuracy of a large group of models based on the use of principle components and other shrinkage methods, including Bayesian model averaging and various bagging, boosting, LASSO and related methods. Our results suggest that model averaging does...
Persistent link: https://www.econbiz.de/10013067938