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The Austrian Business Cycle in the European Context

SCHEIBLECKER, Marcus - Personal Name;

Dating business cycle turning points is still an important task for economic policy decisions. This study does this for the Austrian economy for the period between 1976 and 2005, using only quarterly national accounts data of Austria, Germany and the euro area. Three different filtering methods are applied: first-order differences, the Hodrick-Prescott filter, and the Baxter-King filter. To all of them, two different methods of determining the business cycle are applied: the ad-hoc determination of the business cycle and a dynamic factor model, taking into account the common variations of Austria, the euro area and the German business cycle movements. The results of both methods are dated by the Bry-Boschan algorithm in order to locate peaks and troughs of the cycle. The results are interpreted and compared to already exiting studies on the euro area and the Austrian business cycle.


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Detail Information
Series Title
-
Call Number
650
Publisher
: ., 2018
Collation
-
Language
English
ISBN/ISSN
9783631576076
Classification
650
Content Type
-
Media Type
computer
Carrier Type
online resource
Edition
-
Subject(s)
Business & Economics
Specific Detail Info
-
Statement of Responsibility
Marcus Scheiblecker
Other Information
Cataloger
rat
Source
https://openresearchlibrary.org/content/97576b70-1b9a-4f98-8ddc-5f54167941d0
Other version/related

No other version available

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  • The Austrian Business Cycle in the European Context
    Dating business cycle turning points is still an important task for economic policy decisions. This study does this for the Austrian economy for the period between 1976 and 2005, using only quarterly national accounts data of Austria, Germany and the euro area. Three different filtering methods are applied: first-order differences, the Hodrick-Prescott filter, and the Baxter-King filter. To all of them, two different methods of determining the business cycle are applied: the ad-hoc determination of the business cycle and a dynamic factor model, taking into account the common variations of Austria, the euro area and the German business cycle movements. The results of both methods are dated by the Bry-Boschan algorithm in order to locate peaks and troughs of the cycle. The results are interpreted and compared to already exiting studies on the euro area and the Austrian business cycle.
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