Page - 75 - in The Austrian Business Cycle in the European Context
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where Ij, is the concordance indicator between time seriesj and
the reference series r, both of length n, and si, and s" being 1 if
they are in expansion or 0 if in contraction. It is defined over the
interval [ 1, 0] where 1 indicates total pro-cyclicality and 0 perfect
counter-cyclicality. If both are exactly pro-cyclical this concor-
dance indicator is 1 and 0 if they are perfectly counter-cyclical.
This indicator allows no classification of leading and lagging prop-
erties of turning points but just of their simultaneous behaviour, if
the time series are not shifted in time.
7.5 Standard deviation of the cycle
There are also statistics which concentrate on the size of up- and
downturns, as this can be important for economic policy purposes.
The simplest statistic in this area is probably the standard deviation
of the business cycle component. This measure is constructed as
(41) O'=
n
with ji, being the mean of the observed series, n the number of
observations and Yr1 the observation itself.
Vijselaar - Albers (2001) used this kind of method to show the ex-
posure of several countries to the euro area cycle. They reported
for three different periods the standard deviations of HP-filtered
time-series for manufacturing production and GDP. This can be
regarded as a simple but crude measure, as it is not clear whether
these variations stem from a common or an idiosyncratic cycle, or
even from a variation erroneously passing the filter.
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