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89
Less clear-cut is, from visual inspection, the leading property of
one of the series compared with the other. Concerning the length
of the phases - i.e. the time span between peaks and following
troughs - again visual inspection can not reveal any differences.
In order to evaluate the leading or lagging properties of all other
filtered time series with respect to the Austrian business cycle,
some descriptive statistics have been calculated. Tables A 1 a to c
in the annex show the cross-correlations, the coherences, the av-
erage spectra and the mean delay for all observed time series in
relation to the reference series according to all three methods of
cycle extraction. Cross-correlations are calculated as given by
(22) in chapter 5. For four leads and lags, correlations have been
calculated for the filtered time series with rmax showing the maxi-
mum cross-correlation.
8.2.1.1 Robustness of cross-correlation statistics
r0 shows the cross-correlation between a specific series and the
reference series at zero lag, i.e. the coincident cross-correlation.
The values can range from 1 (perfect cross-correlation at a spe-
cific lead or lag) to 0. By construction, they are symmetric and
only defined for positive values. The column labelled tmax shows
the lead (positive figures) or lag (negative figures) at which the
highest cross-correlation has been observed. In most cases ,max is
observed at lag zero, which indicates that this series is coincident
with the reference series1os.
Not surprisingly, for all three filtering methods cross-correlations are
higher the closer the definition of the series comes to the refer-
ence series. Gross value added (this time including agriculture and
105 The reader is reminded of the fact that Croux - Forni - Reich/in ( 1999) had
proven that simple static cross-correlation of band-pass filtered data is the same as
dynamic correlation over the same frequency band. For this reason, dynamic cor-
relation is not presented in the following.
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