Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model : an application to the German business cycle
Year of publication: |
2020
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Authors: | Carstensen, Kai ; Heinrich, Markus ; Reif, Magnus ; Wolters, Maik H. |
Published in: |
International journal of forecasting. - Amsterdam [u.a.] : Elsevier, ISSN 0169-2070, ZDB-ID 283943-X. - Vol. 36.2020, 3, p. 829-850
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Subject: | Markov-switching dynamic factor model | Great Recession | Turning points | GDP nowcasting | GDP forecasting | Konjunktur | Business cycle | Prognoseverfahren | Forecasting model | Markov-Kette | Markov chain | Frühindikator | Leading indicator | Deutschland | Germany | Bruttoinlandsprodukt | Gross domestic product | Faktorenanalyse | Factor analysis | Wirtschaftsprognose | Economic forecast | Nationaleinkommen | National income | Schätzung | Estimation | Zeitreihenanalyse | Time series analysis | Wirtschaftsindikator | Economic indicator |
Description of contents: | Description [doi.org] |
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Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model
Carstensen, Kai, (2019)
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Macroeconomics, nonlinearities, and the business cycle
Reif, Magnus, (2019)
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Carstensen, Kai, (2017)
- More ...
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Carstensen, Kai, (2017)
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Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model
Carstensen, Kai, (2019)
-
Carstensen, Kai, (2017)
- More ...