Web-Books
in the Austria-Forum
Austria-Forum
Web-Books
International
The Austrian Business Cycle in the European Context
Page - 139 -
  • User
  • Version
    • full version
    • text only version
  • Language
    • Deutsch - German
    • English

Page - 139 - in The Austrian Business Cycle in the European Context

Image of the Page - 139 -

Image of the Page - 139 - in The Austrian Business Cycle in the European Context

Text of the Page - 139 -

139 later in our study. The common component shows the peak for gerCDE one quarter and for gross value added 4 quarters later. The cycle showing a trough in 1 Q 1996 and a peak in 1 Q 1998 in the study of Artis - Marcellino - Proietti (2004) is not mirrored in our se- ries. Only the just HP-filtered series dates the trough exactly but misses therefore the next peak and the subsequent trough. Probably this missing cycle can be explained by its low amplitude. The trough shown for Germany in the first quarter of 1999 is con- firmed by our just HP-filtered series, but it is dated one quarter later for manufacturing (gerCDE) and gross value added excluding ag- riculture and forestry (gerGVAex). In our dynamic factor model approach, only the BK-filtered series succeeded in dating this turn- ing point in the same quarter. Most interesting for our study are the turning points found by Artis - Marcellino - Proietti (2004) for Austria. In their study, the first trough is dated for the second quarter of 1994. This trough seems to be a false signal. None of our approaches confirms it, they date it rather around the one found by the authors for Germany and the euro area in the third or fourth quarter of 1993. The following peak of the reference study in 2Q 1995 is confirmed especially well in our BK-filtered data. The dynamic factor model dates the peak of BK- filtered gross value added of the manufacturing sector (autCDE) one quarter earlier, the just BK filter approach dates it one quarter later. The next trough dated by Artis - Marcellino - Proietti (2004) for the first quarter of 1997 has been found only by our just BK- filtered series· and the HP-filtered common component and is dated for the industrial sector at the same quarter. The following upper turning point in the second quarter of 1998 has not been in- dicated by any of our series. The trough shown by the reference study for the first quarter of 1999 is only reflected by the series which did not succeed in show-
back to the  book The Austrian Business Cycle in the European Context"
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

  1. Zusammenfassung V
  2. Abstract IX
  3. List of figures and tables XV
  4. List of abbreviations XVII
  5. List of variables XIX
  6. 1. Research motivation and overview 1
  7. 2. The data 7
  8. 3. Methods of extracting business cycle characteristics 13
    1. 3. 1 Defining the business cycle 13
      1. 3. 1 . 1 The classical business cycle definition 13
      2. 3.1.2 The deviation cycle definition 15
    2. 3.2 Isolation of business cycle frequencies 16
      1. 3.2. l Outliers 18
      2. 3.2.2 Calendar effects 20
      3. 3.2.3 Seasonal variations 21
      4. 3.2.4 The trend 23
  9. 4. Identifying the business cycle 41
    1. 4.1 Construction of composite economic indices 42
      1. 4. l . l The empirical NBER approach 42
      2. 4.1 .2 Index models 44
    2. 4.2 Univariate determination of the business cycle 52
  10. 5. Analysing cyclical comovements
    1. 5. 1 Time domain statistics for analysing comovements 55
    2. 5.2 Frequency domain statistics for analysing comovements 56
      1. 5.2.1 Coherence 57
      2. 5.2.2 Phase spectra and mean delay 58
      3. 5.2.3 Dynamic correlation 58
      4. 5.2.4 Cohesion 59
  11. 6. Dating the business cycle 61
    1. 6.1 The expert approaches 63
    2. 6.2 The Bry-Boschan routine 65
    3. 6.3 Hidden Markovian-switching processes 67
    4. 6.4 Threshold autoregressive models 69
  12. 7. Analysis of turning points 71
    1. 7.1 Mean and average leads and lags 71
    2. 7.2 Contingency tab/es for turning points 72
    3. 7.3 The intrinsic lead and lag classification of dynamic factor models 74
    4. 7.4 Concordance indicator 74
    5. 7.5 Standard deviation of the cycle 75
    6. 7.6 Mean absolute deviation 76
    7. 7.7 Triangle approximation 76
  13. 8. Results 79
    1. 8.1 Isolation of business cycle frequencies 79
      1. 8.1.1 First-order differences 79
      2. 8.1.2 The HP filter 80
      3. 8.1.3 The BK filter 80
    2. 8.2 Determination of the reference business cycle 85
      1. 8.2.1 Ad-hoc selection of the business cycle reference series 86
      2. 8.2.2 Determination of the business cycle by a dynamic factor model approach 97
    3. 8.3 Dating the business cycle 104
      1. 8.3.1 Dating the business cycle in the ad-hoc selection framework 104
      2. 8.3.2 Dating the business cycle in the dynamic factor model framework 115
  14. 9. Comparing results with earlier studies on the Austrian business cycle 125
    1. 9.1 Comparing the results with the study by Altissimo et al. (2001) 126
    2. 9.2 Comparing the results with the study by Monch -Uhlig (2004) 128
    3. 9.3 Comparing the results with the study by Cheung -Westermann (1999) 130
    4. 9.4 Comparing the results with the study by Brandner -Neusser (1992) 131
    5. 9.5 Comparing the results with the study by Forni - Hallin -Lippi -Reich/in (2000) 132
    6. 9.6 Comparing the results with the study by Breitung -Eickmeier (2005) 134
    7. 9.7 Comparing the results with the study by Artis - Marcellino - Proietti (2004) 134
    8. 9.8 Comparing the results with the study by Vijselaar -Albers (2001) 140
    9. 9.9 Comparing the results with the study by Artis - Zhang (1999) 142
    10. 9.10 Comparing the results with the study by Dickerson -Gibson -Tsakalotos (1998) 142
    11. 9.11 Comparing the results with the study by Artis - Krolzig - Toro (2004) 143
    12. 9.12 Comparing the results with the dating calendar of the CEPR 146
    13. 9.13 Comparing the results with the study by Breuss ( 1984) 151
    14. 9.14 Comparing the results with the study by Hahn - Walterskirchen ( 1992) 153
    15. 9.15 Comparison of the results of different dating procedures 154
    16. 9 .15.1 Turning point dates of the Austrian business cycle 155
    17. 9 .15.2 Turning point dates of the euro area business cycle 156
  15. 10. Concludlng remarks 161
  16. References 169
  17. Annex 177
Web-Books
Library
Privacy
Imprint
Austria-Forum
Austria-Forum
Web-Books
The Austrian Business Cycle in the European Context