Page - XII - in The Austrian Business Cycle in the European Context
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XII
5.2 Frequency domain statistics for analysing
comovements 56
5.2.1 Coherence 57
5.2.2 Phase spectra and mean delay 58
5.2.3 Dynamic correlation 58
5.2.4 Cohesion 59
6. Dating the business cycle 61
6.1 The expert approaches 63
6.2 The Bry-Boschan routine 65
6.3 Hidden Markovian-switching processes 67
6.4 Threshold autoregressive models 69
7. Analysis of turning points 71
7.1 Mean and average leads and lags 71
7.2 Contingency tab/es for turning points 72
7.3 The intrinsic lead and lag classification of
dynamic factor models 74
7.4 Concordance indicator 74
7.5 Standard deviation of the cycle 75
7.6 Mean absolute deviation 76
7.7 Triangle approximation 76
8. Results 79
8.1 Isolation of business cycle frequencies 79
8.1.1 First-order differences 79
8.1.2 The HP filter 80
8.1.3 The BK filter 80
8.2 Determination of the reference business cycle 85
8.2.1 Ad-hoc selection of the business cycle
reference series 86
8.2.2 Determination of the business cycle by
a dynamic factor model approach 97
The Austrian Business Cycle in the European Context
Forschungsergebnisse der Wirtschaftsuniversitat Wien
- Title
- The Austrian Business Cycle in the European Context
- Author
- Marcus Scheiblecker
- Publisher
- PETER LANG - lnternationaler Verlag der Wissenschaften
- Location
- Frankfurt
- Date
- 2008
- Language
- English
- License
- CC BY 4.0
- ISBN
- 978-3-631-75458-0
- Size
- 14.8 x 21.0 cm
- Pages
- 236
- Keywords
- Economy, Wirtschaft, WIFO, Vienna
- Categories
- International
- Recht und Politik
Table of contents
- Zusammenfassung V
- Abstract IX
- List of figures and tables XV
- List of abbreviations XVII
- List of variables XIX
- 1. Research motivation and overview 1
- 2. The data 7
- 3. Methods of extracting business cycle characteristics 13
- 4. Identifying the business cycle 41
- 5. Analysing cyclical comovements
- 6. Dating the business cycle 61
- 7. Analysis of turning points 71
- 8. Results 79
- 9. Comparing results with earlier studies on the Austrian business cycle 125
- 9.1 Comparing the results with the study by Altissimo et al. (2001) 126
- 9.2 Comparing the results with the study by Monch -Uhlig (2004) 128
- 9.3 Comparing the results with the study by Cheung -Westermann (1999) 130
- 9.4 Comparing the results with the study by Brandner -Neusser (1992) 131
- 9.5 Comparing the results with the study by Forni - Hallin -Lippi -Reich/in (2000) 132
- 9.6 Comparing the results with the study by Breitung -Eickmeier (2005) 134
- 9.7 Comparing the results with the study by Artis - Marcellino - Proietti (2004) 134
- 9.8 Comparing the results with the study by Vijselaar -Albers (2001) 140
- 9.9 Comparing the results with the study by Artis - Zhang (1999) 142
- 9.10 Comparing the results with the study by Dickerson -Gibson -Tsakalotos (1998) 142
- 9.11 Comparing the results with the study by Artis - Krolzig - Toro (2004) 143
- 9.12 Comparing the results with the dating calendar of the CEPR 146
- 9.13 Comparing the results with the study by Breuss ( 1984) 151
- 9.14 Comparing the results with the study by Hahn - Walterskirchen ( 1992) 153
- 9.15 Comparison of the results of different dating procedures 154
- 9 .15.1 Turning point dates of the Austrian business cycle 155
- 9 .15.2 Turning point dates of the euro area business cycle 156
- 10. Concludlng remarks 161
- References 169
- Annex 177