IDEAS home Printed from https://ideas.repec.org/a/ces/ifosdt/v68y2015i01p32-42.html
   My bibliography  Save this article

Die Saisonbereinigung im ifo Konjunkturtest – Umstellung auf das X-13ARIMA-SEATS-Verfahren

Author

Listed:
  • Stefan Sauer
  • Klaus Wohlrabe

Abstract

Die Saisonbereinigung ist ein elementarer Bestandteil bei der Berechnung der Ergebnisreihen des ifo Konjunkturtests. Ab Januar 2015 erfolgt hier eine Umstellung der Methode vom ASA-II-Verfahren auf das international weit verbreitete X-13ARIMA-SEATS-Verfahren. Der Artikel zeigt das grundlegende Konzept, die im Zuge der Umstellung zum Teil veränderten Eigenschaften der Zeitreihen und die Vorteile der neuen Vorgehensweise auf.

Suggested Citation

  • Stefan Sauer & Klaus Wohlrabe, 2015. "Die Saisonbereinigung im ifo Konjunkturtest – Umstellung auf das X-13ARIMA-SEATS-Verfahren," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 68(01), pages 32-42, January.
  • Handle: RePEc:ces:ifosdt:v:68:y:2015:i:01:p:32-42
    as

    Download full text from publisher

    File URL: https://www.ifo.de/DocDL/ifosd_2015_01_05.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Klaus Abberger & Wolfgang Nierhaus, 2009. "Months for Cyclical Dominance und ifo Geschäftsklima," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 62(07), pages 11-19, April.
    2. Timo Wollmershäuser & Wolfgang Nierhaus & Tim Oliver Berg & Christian Breuer & Teresa Buchen & Christian Grimme & Steffen Henzel & Atanas Hristov & Nikolay Hristov & Michael Kleemann & Wolfgang Meiste, 2014. "ifo Konjunkturprognose 2014/2015: Deutsche Wirtschaft gewinnt allmählich wieder an Schwung," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 67(24), pages 37-81, December.
    3. Klaus Abberger & Klaus Wohlrabe, 2006. "Einige Prognoseeigenschaften des ifo Geschäftsklimas - Ein Überblick über die neuere wissenschaftliche Literatur," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(22), pages 19-26, November.
    4. Steffen Henzel, 2015. "Prognosekraft des ifo Konjunkturtests – Einfluss der neuen Saisonbereinigung mit X-13ARIMA-SEATS," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 68(01), pages 59-63, January.
    5. Hylleberg, S. (ed.), 1992. "Modelling Seasonality," OUP Catalogue, Oxford University Press, number 9780198773184.
    6. Christian Seiler & Klaus Wohlrabe, 2013. "Das ifo Geschäftsklima und die deutsche Konjunktur," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(18), pages 17-21, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Robert Lehmann & Felix Leiss & Simon Litsche & Stefan Sauer & Michael Weber & Annette Weichselberger & Klaus Wohlrabe, 2019. "Mit den ifo-Umfragen regionale Konjunktur verstehen," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 72(09), pages 45-49, May.
    2. Steffen Henzel, 2015. "Prognosekraft des ifo Konjunkturtests – Einfluss der neuen Saisonbereinigung mit X-13ARIMA-SEATS," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 68(01), pages 59-63, January.
    3. Wolfgang Nierhaus & Timo Wollmershäuser, 2016. "ifo Konjunkturumfragen und Konjunkturanalyse: Band II," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 72, October.
    4. Przemyslaw Brandt & Christian Grotemeier & Klaus Wohlrabe, 2017. "BVL-Logistikindikator – Hintergründe, Entwicklungen und Ergebnisse," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 70(20), pages 36-42, October.
    5. Klaus Borger & Stefan Sauer, 2019. "KfW-ifo-Mittelstandsbarometer: Unterkühlte Stimmung im Mittelstand," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 72(18), pages 49-51, September.
    6. Stefan Sauer & Klaus Wohlrabe, 2020. "ifo Handbuch der Konjunkturumfragen," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 88.
    7. Wolfgang Nierhaus & Klaus Abberger, 2015. "ifo Konjunkturampel revisited," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 68(05), pages 27-32, March.

    More about this item

    Keywords

    Saisonbereinigung; Saisonkomponente; ARMA-Modell; Konjunkturprognose; Wirtschaftsprognose;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ces:ifosdt:v:68:y:2015:i:01:p:32-42. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Klaus Wohlrabe). General contact details of provider: http://edirc.repec.org/data/ifooode.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.