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53
cle, if not lagging78, which distorts the exact dating of the business
cycle.
In view of such considerations, the gross value added in real terms
excluding agriculture (GVAex) was chosen as the reference series,
instead of GDP. This means that the business cycle frequencies
discovered in this aggregate are assumed to be the most suitable
measure of the business cycle for Austria, and dating results for all
other series are interpreted in relation to this reference series. A
large number of studies use the industrial production index as an
ad-hoc basis for measuring the business cycle. Whereas this ap-
proach has the major advantage of offering long time series at a
monthly frequency, this is not the kind of business cycle Burns -
Mitchell ( 1946) had in mind. According to their definition, the busi-
ness cycle shows up in aggregate economic activity and not only
in industrial production.
The univariate ad-hoc determination of the time series which car-
ries most of the business cycle variations is probably the most
widely used approach. Studies based on modelling techniques
rely heavily on this kind of business cycle determination. There are
several studies using multivariate models in business cycle analy-
sis79, but they are only multivariate in looking at several countries to
extract the business cycle by measuring common trends or com-
mon cycles directly. But for all of these countries, one type of time
series is chosen ad-hoc as being most appropriate for business cy-
cle analysis.
78 National accounts regulations and recommendations require the recording of
tax revenues for GDP purposes not on a cash basis, but to adjust them at an ac-
crual basis. If this is done properly, such kind of taxes are at best coincident as a
lead seems to be rather implausible for them. In practice however, lagged cash
revenues are used which potentially shift included business cycle variations in time.
79 Examples are the multivariate unobserved component model proposed by Artis
-Marcellino - Proietti (2004) or Cheung - Westerman (1999), who estimated in a
multivariate manner the common trend for the industrial production of Austria and
Germany.
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