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If the cycle is defined in the classical way, as depicted by the
trended bold line in the upper part of Figure 4, then point A repre-
sents one of the upper turning points occurring at time t A as it con-
stitutes a local minimum. Following the deviations approach and
observing only turning points of the extracted business cycle com-
ponent, point B marks the upper turning point at time ts. This point
is derived by analysing only the stationary, bold line in the lower
part of the figure, which should represent the business cycle ac-
cording to the deviations approach. It can easily be seen - as it is
a well-known fact - that the turning points according to the cycli-
cal deviations approach (bold line in the lower part) lead the ones
of the classical definition (bold line in the upper part)B5•
If instead the focus of interest lies on growth rates (growth rate cy-
cle approach), the result is again different turning points. The dot-
ted line in the lower part of Figure 4 represents the growth rates of
the series. When interpreting the business cycle as a sine function
(like it is done here with the bold line in the lower part), growth
rates follow a cosine function as this is its first derivative. This series
of growth rates is illustrated by the dotted line in the lower part of
Figure 4 (for graphical reasons it has been linearly transformed). It
reaches its peaks earlier (e.g. at time tc) than the others86, which is
in part due to its asymmetric construction.
As for their importance, turning points have been given special
names. In the classical approach, the lower turning points are
called troughs, which are followed by a phase of recovery leading
into a period of expansion whose end is marked by the upper turn-
ing point, the peak. Thereafter, a contraction takes place followed
85 The length of the lead is related positively to trend growth and negatively to the
amplitude of the series. The higher trend growth, the more it is capable of delaying
the downward-sloping effect of the cycle on the whole series.
86 If a high frequency error term is included, the leading property of growth rates
cannot be exploited for an earlier indication of turning points. This is especially true
as it has been shown that taking first-order differences superimpose high frequency
error terms.
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