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lows for changes in the trend behaviour over time as long as the
changes are not too frequentss.
An advantage over the HP filter is that the BK filter cancels out
higher frequencies above the cyclical variations, too, whereas the
former - acting as a pure high-pass filter - still gives an erratic but
de-trended output. This can be seen again in Figure 2. The BK filter
cancels out lower frequencies dedicated to the trend frequencies
below 1t/3. This allows the filter to be applied theoretically even to
non-seasonally-adjusted series.
A further advantage is that the loss of frequency information due
to data aggregation seems to be less of a problem for band-pass
filters than for the HP filter. Aadland (2005) has shown that aggre-
gated high-pass filtered data (e.g. by the HP filter) can lead to
spurious cycles at the business cycle frequencies, if the disaggre-
gated data carried strong variations in the high frequency area.
This is due to the so-called "aliasing"-problem which arises when
high frequency data are observed at lower frequencies.
As the BK filter is symmetric like the HP filter, it causes no phase shift.
A convenient feature of the BK filter is its transparency. The user
can explicitly fix the upper and lower level of the band to be fil-
tered; thereby defining what should be understood as the business
cycle. Furthermore, the degree of approximation to the ideal
band-pass version can be chosen. This can be done by sacrificing
observations towards either end point in order to make the filter
work more exactly, i.e. to reduce its leakage. The problem of
leakage arises with the approximation of the filter. As it is not pos-
sible in practice to work with infinitely long time series, shorter filters
have to be applied. This has two consequences: First, frequencies
can pass which should be filtered out and some are mistakenly fil-
tered out which should pass; and second, frequencies are super-
imposed at the borders of the frequency band, which appears as
55 See Canova (1998).
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