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109
communication sector, idiosyncratic cycles seem to play a role in
both countries 111.
In order to check for leads and lags of the observed time series,
not only cross-correlations and mean delays are informative, but
this can be done on the basis of turning points, too. In this regard,
it is very helpful to calculate indicators which can give an over-
view about such properties. This approach is not only promising
when comparing the results with the ones based on cross-
correlations and coherences in view of their robustness, but has
the additional advantage that leading and lagging features can
also be analysed for peaks and troughs separately. Tables A 3 a to
c show for all series their leading and lagging properties of turning
points, further classified by peaks and troughs. As averages give
equal weights to all values, even if they can be considered as out-
liers, also the median lag is reported.
Table A 3 a shows this kind of statistics for the first-order-difference
case. The turning points found in the first-order-differenced series
of construction industry (autF) show an average lag of 0.6 quarters
vis-a-vis those found in the reference series (autGVAex) with the
same sign. Distinguishing between peaks and troughs, peaks show
an average lag of 3.2 quarters and troughs a lead of 2 quarters
compared with those of the reference series. As these averages
can be strongly biased by a single outlier, it is deemed appropri-
ate to calculate a median statistic as well. Whereas the median
lag of all turning points is two quarters, sign and size of medians
broken down by peaks and troughs are similar to the case of av-
erages. A different pattern of leads and lags for peaks and troughs
is difficult to explain on theoretical grounds. These differences are
especially pronounced in the case of first-order-differenced and
111 Interestingly, GDP of Austria and Germany, like the GDP of the rest of the Euro
area (eurGDPex) show one cycle less than the reference series, but total Euro Area
GDP two cycles less. which is not a consistent result.
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