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the series. In a graphical representation of a time series they are
marking a one-time spike in the plot32•
Level shifts are innovations which mark a break in the time series,
shifting the successive mean by a constant value. They appear as
an upward or downward step in the time series.
Transitory components are outliers lasting only for a limited time
and vanishing thereafter. They are either fading out in successive
time periods (decay) or they evolve slowly over time and vanish
suddenly (ramp).
Some of these outliers can be explained by variables outside this
model. Ignored working day variables or weather conditions - in-
fluencing the economic output - are examples. Furthermore,
every unusual strong movement in the history of a time series may
appear as an outlier. In this special case here, this goes for sharp
recessions, too. It is a difficult task to detect outliers and one has to
define first of all what should be considered an outlier and by
which value it has to be replaced.
For the present study, outlier detection has been carried out by
modelling all time series as seasonal ARIMA models with regression
effects (sometimes also called Reg-SARIMA models for short),
which took care of the varying number of working days of differ-
ent countries by regressing on them. Several steps of estimation
are carried out in order to check whether an elimination of the
significant outliers (in this study dummy variables with a t-value
higher then 3.8) improves the following model33• A purely me-
32 It has to be borne in mind that in a first-order differenced time series an additive
outlier marks a spike with a counter-reaction in the next period. If no counter-
reaction follows, it appears as a level shift in the original series.
33 This procedure was assisted by the software package TRAMO developed by
Gomez - Marava/1 ( 19921. It is widely used also in business cycle studies like for ex-
ample in Artis -Krolzig -Toro (2004), Artis -Marcellino -Proietti (2004) and Altissimo
eta/. (2001}.
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