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  • Search: subject:"Turning-Point Detection"
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Year of publication
Subject
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Economic cycle 4 Euro area IPI 3 Business cycle 2 Dynamische Wirtschaftstheorie 2 Economic crisis 2 Economic dynamics 2 Economic forecast 2 Estimation 2 Factor analysis 2 Faktorenanalyse 2 Financial crisis 2 Finanzkrise 2 Forecasting model 2 Frühindikator 2 Great Moderation 2 Great Recession 2 Konjunktur 2 Leading indicator 2 Macroeconomic Forecasting 2 Markov chain 2 Markov-Kette 2 Markov-Switching Dynamic Factor Model (MS-DFM) 2 Prognoseverfahren 2 Schätzung 2 Threshold model 2 Time series analysis 2 Turning point detection Threshold model 2 Turning-Point Detection 2 Volatility 2 Volatilität 2 Wirtschaftskrise 2 Wirtschaftsprognose 2 Zeitreihenanalyse 2 Euro-zone IPI 1 Turning point detection 1 turning point detection 1
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Online availability
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Free 4 Undetermined 2
Type of publication
All
Book / Working Paper 5 Article 1
Type of publication (narrower categories)
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Arbeitspapier 2 Graue Literatur 2 Non-commercial literature 2 Working Paper 2 Amtsdruckschrift 1 Government document 1
Language
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English 3 Undetermined 3
Author
All
Ferrara, Laurent 6 Doz, Catherine 2 Guegan, Dominique 2 Guégan, Dominique 2 Pionnier, Pierre-Alain 2
Institution
All
HAL 2 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
Published in...
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Post-Print / HAL 2 Journal of Business Cycle Measurement and Analysis 1 MPRA Paper 1 OECD statistics working paper 1 Working paper 1
Source
All
RePEc 4 ECONIS (ZBW) 2
Showing 1 - 6 of 6
Cover Image
Business cycle dynamics after the Great Recession : an extended Markov-Switching Dynamic Factor Model
Doz, Catherine; Ferrara, Laurent; Pionnier, Pierre-Alain - 2020
Persistent link: https://www.econbiz.de/10012244551
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Business cycle dynamics after the Great Recession : an extended Markov-Switching dynamic factor model
Doz, Catherine; Ferrara, Laurent; Pionnier, Pierre-Alain - 2020
The Great Recession and the subsequent period of subdued GDP growth in most advanced economies have highlighted the need for macroeconomic forecasters to account for sudden and deep recessions, periods of higher macroeconomic volatility, and fluctuations in trend GDP growth. In this paper, we...
Persistent link: https://www.econbiz.de/10012227436
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Real-time detection of the business cycle using SETAR models
Ferrara, Laurent; Guegan, Dominique - HAL - 2006
We consider a threshold time series model in order to take into account some stylized facts of the business cycle such as asymmetries in the phases. Our aim is to point out some thresholds under (over) which a signal of turning point could be given. First, we introduce the various threshold...
Persistent link: https://www.econbiz.de/10010750606
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Detection of the industrial business cycle using SETAR models
Ferrara, Laurent; Guégan, Dominique - Volkswirtschaftliche Fakultät, … - 2005
In this paper, we consider a threshold time series model in order to take into account certain stylized facts of the industrial business cycle, such as asymmetries in the phases of the cycle. Our aim is to point out some thresholds under (over) which a signal of turning point could be given....
Persistent link: https://www.econbiz.de/10005790344
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Cover Image
Detection of the Industrial Business Cycle using SETAR models
Guegan, Dominique; Ferrara, Laurent - HAL - 2005
We consider a threshold time series model in order to take into account some stylized facts of the industrial business cycle such as asymmetries in the phase of the cycle. Our aim is to point out some thresholds under (over) which a signal of turning point could be given. First, we introduce the...
Persistent link: https://www.econbiz.de/10008793306
Saved in:
Cover Image
Detection of the Industrial Business Cycle using SETAR Models
Ferrara, Laurent; Guégan, Dominique - In: Journal of Business Cycle Measurement and Analysis 2005 (2005) 3, pp. 353-371
In this paper, we consider a threshold time series model in order to take into account certain stylized facts of the business cycle, such as asymmetries in the phases of the cycle. Our aim is to point out some thresholds under (over) which a signal of turning point could be given in real-time....
Persistent link: https://www.econbiz.de/10008492378
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