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144
ing in a recession is 0.61 over the whole sample period, which is
somewhat smaller than the cross-correlation of our filtered series.
The authors reported that for Austria the average growth during a
recession is -0.5 percent (compared with the previous month) and
0.11 percent for expansions. This would imply a fall in industrial
production at an annualised growth rate of -5.8 percent during
recessions and a rise of 1.3 percent in expansions. For Germany,
an average growth rate during recessions of -0.44 percent is re-
ported, which would imply that these fluctuations are lower than in
Austria. The asymmetry of growth rates for expansions and reces-
sions can be assigned to the authors' classical definition of the
business cycle. As a consequence expansions also include trend
growth biasing their growth rates downwards. Furthermore, the
average time of being in a recession is rather short, with 2 quarters
(7 .5 months).
In order to arrive at explicit dates for the European business cycle,
a multivariate Markov-switching model was set up considering in-
dustrial production and GDP, based on the same set of individual
countries. For both variables the authors found only three cycles
over the whole time span. Again, this is a consequence of the au-
thors' resorting to the classical definition of the business cycle. The
first cycle they found in GDP series starts with a peak in the first
quarter of 1974 and has a trough in the second quarter of 1975. As
this cycle is outside our time range, it can not be compared with
the present study. The next peak is dated at 1
Q 1980 and is re-
flected by entire HP- and BK-filtered series: only our dynamic factor
model approach dates it one quarter earlier for BK-filtered series.
The following trough for the European business cycle, as reported
by Artis - Krolzig - Toro (2004) is in 4Q 1982. This time, all our meth-
ods - again apart from the ones based on first-order differences -
date this turning point for exactly the same quarter. The next turn-
ing point found by the authors is a peak in 2Q 1992. Again, our fist-
order differences give a false signal, whereas the just HP- and BK-
filtered series date this peak one quarter earlier in 1
Q 1992, and the
same goes for the dynamic factor model results based on HP-
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