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An additional, less smoothed, series is calculated by further short-
ening to MA order according to a parameter called QCD (quar-
ters of cyclical dominance). This QCD yields the minimum delay for
which the average of absolute deviations of growth in the
Spencer cycle is larger than that in the irregular component. This
series is again checked for common turning points with the series
as calculated before, subject to the same requirements for cycle
length and the alternation of signs. As this last short filter is able to
move close to the end of the series - while for the longer filters syn-
thetic extrapolations had to be made - turning points found in the
last or first two observations are dropped.
Versions of the Bry-Boschan routine used for dating the quarterly
US-GDP time series have been quite successful in tracking the turn-
ing points as published by the NBER92•
6.3 Hidden Markovian-switching processes
Studies resorting to the method proposed by Hamilton ( 1989) try to
represent the business cycle component by a Markov-switching
autoregressive model. Here, the series examined is to be repre-
sented by a stochastic process that can switch between a con-
tractive and an expansionary regime93• In its most general form,
not only the mean µ is allowed to vary between both states, but
also the AR parameters efJ of order p and the variance of the error
term (with assumed zero mean) e, .
(31} z, = µ,1 + f ;,, z,_; +e:1
i=I
92 Examples for this kind of studies ore King - Plosser (1994) and Harding - Pagan
(2003).
93 In Artis - Krolzig - Toro (2004) a third regime is considered for some countries, in
order to capture the effect of a break in trend growth in the second half of the
seventies.
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