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tion concept shows a lead in time vis-a-vis the one interpreted in
the classical way. Furthermore, it has to be kept in mind that ap-
plying the classical approach yields fewer and shorter contraction
phases than the deviation method as documented in Harding -
Pagan (2002). This may lead to a substantially different business
cycle stabilisation policy. Especially the lead property makes de-
viation cycle approaches more appropriate for economic policy
issues. For all those reasons, the following analysis concentrates
exclusively on the deviation cycle approach.
3.2 Isolation of business cycle frequencies
Following Zarnowitz ( 1992), economic time series measuring output
may be represented in the following form2a
(1) Y, = X, +C, +S, +e,
where x, represents the trend component, c, the business cycle
variation and s, other components like seasonal, working day or
weather effects. e, represents an error term capturing all residuals
like special events and measurement errors. In earlier approaches,
all components have been modelled as being deterministic,
whereas modern ones understand all or some of them as stochas-
tic processes29.
28 Frequently this model is specified in logarithms where the underlying model is
multiplicative r, = X, • c, • s, • e, .
29 Examples for this kind of models are structural time series models following the
approach of Harvey ( 1989) where the trend is modelled as a stochastic process.
Also the method of using just growth rates (out of first order differencing process)
which implies random walk behaviour of the trend component can be regarded
as a stochastic approach.
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