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length. This is the case for the reference series, the German manu-
facturing production gerCDE and the euro area GDP (eurGDPex).
Again, no systematic change of the cycle length shows up when
idiosyncratic parts of the series are extracted.
For BK-filtered data, the extraction and dating of the common
component did not lead to a substantial change in the length of
cycles or phases. The reduced number of turning points in the
common component of the reference series led to cycles becom-
ing longer by around 3 quarters. Especially the phases of downturn
(from a peak to a trough) are extended (+3 quarters), whereas for
upturns only one quarter was added.
For the rest of the BK-filtered data, the picture hardly changed. In
many cases, the cycle and phase lengths did not change at all.
This leads to the conclusion that for the underlying data set idio-
syncratic cycles are mainly a phenomenon outside the business
cycle frequency band. In that case, the extraction of idiosyncratic
cycles does not lead to a change in the dating calendar, but
rather the different amplitude of just filtered series and common
components changes the pattern of local minima and maxima.
8.3.2.1 Conclusions for the dynamic-factor-model-determined
reference cycle approach
Before comparing all findings with those of other studies on the
Austrian business cycle, results from this chapter are summarised.
As expected, the fact that the first-order-difference filter superim-
poses high-frequency variations leads to a rather erratic output of
the filtered series. Visual inspection does not reveal any regularity
of business cycle variations. Cross-correlation statistics between
the reference series and all other series are lowest for first-order dif-
ference, as included superimposed high-frequency cycles seem
to be of idiosyncratic nature. The same goes for cross-correlations
of common components extracted by the dynamic factor model
approach. As a consequence, all other statistics checking for
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