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cording to the cross-correlation criteria. Compared with BK-filtered
data, only for some series where short-lived shocks (like weather
conditions for instance) play a more important role, differences
can be observed. Concerning the highest cross-correlations ob-
served for various leads and lags, differences between the HP-
and the BK-filtered data are minor, whereas they are substantial
when compared with the first-order-differenced data.
Results of coherence estimates are quite in line with theory. Co-
movement with the reference series for Austria is largest for the in-
dustrial sector (autCDE) and smallest for financial intermediations
services and real estate, renting and business activities (autJK).
Furthermore, there is a high degree of comovement between the
Austrian and the German business cycle, represented by the cy-
clical variation of gerG V Aex (
excluding agriculture and forestry),
which is higher than compared with the euro area cycle
(eurGDPex) and is consistent over all three filtering methods.
The calculation of shifts according to the mean delay statistics
displayed much shorter leads and lags than with the maximum
cross-correlation criterion. However, the signs of the shifts seem to
be rather similar in the case of HP- and BK-filtered data, but not
with first-order-differenced data.
The Bry-Boschan dating procedure provides different information
for all three filtering methods. Not one single turning point (even if
one allows for some minor shift) is the same for the first-order-
difference and the HP-filter case. Only the number of turning
points was nearly the same in both cases, but much higher in the
case of BK-filtered data. Interestingly, for both methods showing
rather erratic movements in their filtered results, fewer turning
points have been detected than for the BK-filtered data. The turn-
ing point detection criteria of the Bry-Boschan procedure proba-
bly discard a lot of possible points if they are not identified with
certainty.
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