Web-Books
in the Austria-Forum
Austria-Forum
Web-Books
International
The Austrian Business Cycle in the European Context
Page - 167 -
  • User
  • Version
    • full version
    • text only version
  • Language
    • Deutsch - German
    • English

Page - 167 - in The Austrian Business Cycle in the European Context

Image of the Page - 167 -

Image of the Page - 167 - in The Austrian Business Cycle in the European Context

Text of the Page - 167 -

167 locate a peak in-between in the second quarter of 1998. Obvi- ously, this peak is too low to be captured by our Bry-Boschan rou- tine, hence it was ignored. In Figure 9 these differences in the dating calendars are illustrated graphically. Both series show spikes of negative amplitude in the second quarter of 1997 and the first quarter of 1999. Looking at the thin line (representing just BK-filtered data), the trough in 2Q 1997 is deeper than the one observed in 1 Q 1999. For the bold line repre- senting the common component based on BK-filtered data, it is the other way round. Obviously, part of the amplitude in 2Q 1997 has been considered as idiosyncratic. Since the Bry-Boschan rou- tine considers within a close neighbourhood only the turning point with the largest amplitude, we get different dates for the troughs. The peak detected by Artis -Marcellino - Proietti (2004) in 2Q 1998 is too close to the high peak in 2000, which is the reason for the Bry-Boschan routine considering it only as an intermediate turn, al- though it can be observed in both of our series in Figure 9. If we define the business cycle as a domestic phenomenon, but accept influences from the international business cycle, then the dating calendar based on just BK-filtered series is the best choice. For those who regard the business cycle more as an international phenomenon, the dynamic factor model output is superior. If the settings prepared for our Bry-Boschan algorithm were to allow shorter cycles, also the peak described in Artis - Marcellino - Proi- etti (2004) would enter our calendars. Hence it depends on the preferences of the analyst or the economic policymaker, which calendar is most appropriate. In general, the turning points in our study based on BK-filtered data largely correspond to the ones found when using more advanced business cycle extraction methods. Concerning the dates located by our Bry-Boschan routine, it became apparent that studies based on Markov-switching model show rather similar results.
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