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This Paper proposes a new forecasting method that exploits information from a large panel of time series. The method is …
Persistent link: https://www.econbiz.de/10010328558
This Paper proposes a new forecasting method that exploits information from a large panel of time series. The method is …
Persistent link: https://www.econbiz.de/10005661541
Persistent link: https://www.econbiz.de/10014266817
Persistent link: https://www.econbiz.de/10013206017
The authors replicate and extend the Monte Carlo experiment presented in Doz, Giannone and Reichlin (A Quasi-Maximum Likelihood Approach For Large, Approximate Dynamic Factor Models, Review of Economics and Statistics, 2012) on alternative (time-domain based) methods for extracting dynamic...
Persistent link: https://www.econbiz.de/10012221951
In this paper, the authors comment on the Monte Carlo results of the paper by Lucchetti and Veneti (A replication of "A quasi-maximum likelihood approach for large, approximate dynamic factor models" (Review of Economics and Statistics), 2020)) that studies and compares the performance of the...
Persistent link: https://www.econbiz.de/10012208913
The authors replicate and extend the Monte Carlo experiment presented in Doz et al. (2012) on alternative (time-domain based) methods for extracting dynamic factors from large datasets; they employ open source software and consider a larger number of replications and a wider set of scenarios....
Persistent link: https://www.econbiz.de/10012173815
This paper presents a revised version of the DIW Economic Barometer, the business cycle index of the German Institute for Economic Research (DIW Berlin). As in earlier versions, we put forward a factor model on a monthly frequency to filter the latent state of the aggregate economy. In the new...
Persistent link: https://www.econbiz.de/10010417490
Persistent link: https://www.econbiz.de/10013274271
Persistent link: https://www.econbiz.de/10013274304