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Real-time forecasting of German GDP based on a large factor model with monthly and quarterly data
Schumacher, Christian; Breitung, Jörg - In: International journal of forecasting 24 (2008) 3, pp. 386-398
Persistent link: https://www.econbiz.de/10003764088
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Real-time forecasting of GDP based on a large factor model with monthly and quarterly data
Schumacher, Christian (contributor);  … - 2006
This paper discusses a factor model for estimating monthly GDP using a large number of monthly and quarterly time series in real-time. To take into account the different periodicities of the data and missing observations at the end of the sample, the factors are estimated by applying an EM...
Persistent link: https://www.econbiz.de/10003383602
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The Kernel trick for nonlinear factor modeling
Kutateladze, Varlam - In: International journal of forecasting 38 (2022) 1, pp. 165-177
Persistent link: https://www.econbiz.de/10013347745
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In search of leading indicators of economic activity in Germany
Bandholz, Harm; Funke, Michael - 2001
In this paper we present two new composite leading indicators of economicactivity in Germany estimated using a dynamic …
Persistent link: https://www.econbiz.de/10011400394
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Forecasting German key macroeconomic variables using large dataset methods
Pirschel, Inske; Wolters, Maik H. - 2014
We study the forecasting performance of three alternative large scale approaches using a dataset for Germany that …
Persistent link: https://www.econbiz.de/10010357899
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Real-Time Forecasting of GDP Based on a Large Factor Model with Monthly and Quarterly Data
Schumacher, Christian - 2007
This paper discusses a factor model for estimating monthly GDP using a large number of monthly and quarterly time series in real-time. To take into account the different periodicities of the data and missing observations at the end of the sample, the factors are estimated by applying an EM...
Persistent link: https://www.econbiz.de/10012730747
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Predicting Ordinary and Severe Recessions with a Three-State Markov-Switching Dynamic Factor Model. An Application to the German Business Cycle
Carstensen, Kai - 2017
for Germany preselected from a broader set using the Elastic Net soft-thresholding rule. The three states represent …
Persistent link: https://www.econbiz.de/10012955198
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Real-Time Forecasting of GDP Based on a Large Factor Model with Monthly and Quarterly Data
Schumacher, Christian - 2016
This paper discusses a factor model for estimating monthly GDP using a large number of monthly and quarterly time series in real-time. To take into account the different periodicities of the data and missing observations at the end of the sample, the factors are estimated by applying an EM...
Persistent link: https://www.econbiz.de/10012991170
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Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model : an application to the German business cycle
Carstensen, Kai; Heinrich, Markus; Reif, Magnus; … - In: International journal of forecasting 36 (2020) 3, pp. 829-850
Persistent link: https://www.econbiz.de/10012496873
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Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model : an application to the German business cycle
Carstensen, Kai; Heinrich, Markus; Reif, Magnus; … - 2017
for Germany preselected from a broader set using the Elastic Net soft-thresholding rule. The three states represent …
Persistent link: https://www.econbiz.de/10011646914