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The Austrian Business Cycle in the European Context
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149 for the euro area with those gathered solely on the basis of the rule of using two quarters of negative growth rates 125. According to Table 4, euro area GDP since 1976 exhibited four pe- riods of quarter-to-quarter negative growth rates based on sea- sonally adjusted series. The first recession starts in the second quar- ter of 1977 with a growth rate only slightly below stagnation, which is probably the reason, why this is not reflected by the CEPR dating calendar. Compared with the present study, this turning point shows up only in our two series of first-order differences, with a turn- ing point two quarters later in 4Q 1977. All our other approaches do not mirror that trough. In 2Q 1980, growth rates were negative for three consecutive quarters. Again, only our first-order differences show this trough, but date it one quarter earlier in 1 Q 1980. Con- trary to this, the CEPR as well as all our other approaches show a peak instead in 1 Q 1980 or at the end of 1979, respectively. The next episode of negative growth rates started 2Q 1982, with a rate close to stagnation. The CEPR dates this trough in 3Q 1982 and all our approaches - apart from first-order differences, which fail again - date this by 4Q 1982. When using the growth rate concept for locating turning points, this method should show some leading property, which can actually be observed in this case. Observing the next and last trough, represented by the series of five consecu- tive quarters of negative growth starting in 2Q 1992, this property becomes apparent, too. Our dating based on BK-filtered series, as well as the CEPR dating committee dates this in 3Q 1993, our HP- filtered series in 4Q 1993. Obviously, the CEPR does not strictly adhere to the negative growth rate rule for dating troughs. It probably uses additional in- formation leading to a slight shift in the dates of the turning points into the past. Furthermore, different vintages of the GDP growth 125 A similar dating calendar, but for Austrian GDP, can be found in Scheiblecker (2002).
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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

  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
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