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chanical forecast feature which allows de-trending even at the
endpoints50. The HP filter calculates the trend component and
identifies the cyclical component as the difference between the
original series and the trend component51 • The end-point problem
is therefore concentrated on changes in the trend component.
This makes the HP filter very attractive for practical purposes, but
the end-point problem is solved at the cost of the accuracy of the
filter. Especially at the end points, the filter works imprecisely in that
it shows a stronger leakage. This means that some frequencies be-
longing to the trend can pass, whereas fluctuations of cyclical na-
ture (especially those of low frequency order) are filtered out.
Cogley - Nason ( 1995) and Canova ( 1998) pointed out that de-
spite the HP filter's ability to de-trend difference stationary time se-
ries, it distorts the frequency spectrum so that business cycle ex-
traction could be problematic.
3.2.4.5 The Baxter-King filter
Band-pass filters are understood as frequency filters, which give -
in their ideal representation - zero weight to the frequency band
to be filtered out and unit weight to the rest52. Baxter -King (1995)
proposed such a filter for business cycle filtering, which is an opti-
mal linear approximation to an ideal band-pass filter. They con-
structed a band-pass filter by starting from a low-pass filter, which
allows all frequencies w (below or equal a certain threshold .Q?) to
pass. This requires that all frequencies get a unit weight p if they
are above this threshold and zero otherwise:
50 See Baxter -King ( 1995).
51 See Kranendonk - Bonenl<omp - Verbruggen (2004).
52 In a wider sense, high-pass filters, which filter out all frequencies below a certain
frequency threshold (e.g. the trend) as well as low-poss filters, which let pass only
frequencies below a certain threshold, can be regarded as band-pass filters. But
what is meant here are only the filters which capture the band between two
thresholds not belonging to extreme ends.
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