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cycles should lead to a reduction of cycles and hence to longer
cycles and phases. The reduction of variation probably allowed
the Bry-Boschan routine to detect more turning points than in the
case of just filtered series. This leads to a reduction of the length of
cycles and phases, as can be seen in Table A 10 a. Now the cycle
length is reduced to around 17 quarters, from around 23 quarters
for just filtered series. However, this is not a general feature of the
dynamic factor model output, as it is the other way round for the
Austrian construction sector (autF) and for German manufacturing
production (gerCDE).
The same puzzle arises when focussing on symmetries of business
cycle phases. Regarding the common component, cycle phases
are now more symmetric for the reference series than they were
for the just filtered series. The time span of downswings (from a
peak to a trough) and upswings (from a trough to a peak) is now
close to nine quarters for both phases, whereas it differed substan-
tially (7 quarters against 13 quarters) for the just filtered reference
series. For other series like the Austrian construction sector (autf)
and German manufacturing production (gerCDE), it is exactly the
other way round: they now show more asymmetries in their cycli-
cal behaviour.
Both facts point to a rather arbitrary dating of the cycle in the
case of first-order differences. Transformation by the dynamic fac-
tor model leads to unsystematic changes of the properties of cy-
cles when dated with the Bry-Boschan procedure. Thus, first-order
differences again turn out to be an inappropriate method for the
extraction of the cycle.
The same problem shows up for HP-filtered series, albeit at a
smaller scale. Again, the high-frequency part included in these se-
ries leads to an unstable dating of turning points, which is reflected
by the differences concerning the length of the cycle. Ta-
ble A 1
O b shows a change in the length when compared with the
just filtered series given in Table A 4 b. Only for few series, the dates
of the common components turning points show a similar cycle
The Austrian Business Cycle in the European Context
Forschungsergebnisse der Wirtschaftsuniversitat Wien
- Titel
- The Austrian Business Cycle in the European Context
- Autor
- Marcus Scheiblecker
- Verlag
- PETER LANG - lnternationaler Verlag der Wissenschaften
- Ort
- Frankfurt
- Datum
- 2008
- Sprache
- englisch
- Lizenz
- CC BY 4.0
- ISBN
- 978-3-631-75458-0
- Abmessungen
- 14.8 x 21.0 cm
- Seiten
- 236
- Schlagwörter
- Economy, Wirtschaft, WIFO, Vienna
- Kategorien
- International
- Recht und Politik
Inhaltsverzeichnis
- 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