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116
Looking at the results of the just filtered series, the peak following
the trough at the beginning of 1980 is dated at the fourth quarter
of 1981 , with the following trough at the end of 1983. The equiva-
lent peak in the common component is dated at the fourth quar-
ter of 1982, with the following trough only at the end of 1986. No
other filtering method confirms either of these turning points. For
both approaches, HP-filtered data show the same date of the
above-mentioned peak as a trough, whereas the subsequent cy-
cle is dated by both approaches the same way. Again differences
exist at the end of the series.
For reasons of space, observed leads and lags of turning points for
all other series with respect to the reference series are not inter-
preted here. They can be deducted from Table A 8 and com-
pared with the results for just filtered series. Noteworthy seems only
the fact that for turning point analysis based on common compo-
nents, the number of observed extra cycles seems to be higher
than for just filtered series. Obviously, the cleaning for idiosyncratic
cycles did not reduce the number of turning points, but makes the
common cyclicality more visible, so that it becomes easier for the
Bry-Boschan algorithm to locate them.
Considering the case of BK-filtered data, the number of turning
points found is the smallest. This is due to the fact, that it starts dat-
ing very late, at the beginning of 1980. Both other methods, the
first-order differences and the BK filter, have already identified at
least one complete cycle at that time. This interesting fact has al-
ready been observed for just filtered data in Table A 2. In the dy-
namic factor approach as well as for the just filtered data, the first
turning point is a peak in the first quarter of 1980. The following
trough is dated differently. In the case of just filtered data it is lo-
cated at the end of 1981, whereas for the common component it
occurs one year later. The following phase is dated exactly the
same way, whereas the subsequent one harmonises only with re-
spect to the year of occurrence. For the rest of the series, at least
one turning point of a phase is reflected in both calendars. Again,
plenty of differences can be found concerning the number of cy-
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