IDEAS home Printed from https://ideas.repec.org/a/ces/ifofor/v19y2018i02p59-64.html
   My bibliography  Save this article

The New ifo Business Climate Index for Germany

Author

Listed:
  • Stefan Sauer
  • Klaus Wohlrabe

Abstract

The ifo Business Climate Index is the most important early indicator for developments in the German economy. It aggregates thousands of responses from the companies surveyed in the ifo business surveys on a monthly basis. This article presents the new ifo Business Climate for Germany, which will appear on a monthly basis as of April 2018, replacing the index for German industry and trade that has been published to date. A few major changes have been made to the new business climate index. The most important change is that in addition to manufacturing, construction and both distributions sectors, it now includes the service industry, which has been published separately to date. Moreover, the aggregation procedure has been slightly modified, and finally the base year for index calculation has been adjusted from 2005 to 2015. This article offers an insight into the background to these adjustments and shows that the basic economic forecasts and interpretations remain unchanged.

Suggested Citation

  • Stefan Sauer & Klaus Wohlrabe, 2018. "The New ifo Business Climate Index for Germany," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 19(02), pages 59-64, July.
  • Handle: RePEc:ces:ifofor:v:19:y:2018:i:02:p:59-64
    as

    Download full text from publisher

    File URL: https://www.cesifo.org/DocDL/CESifo-Forum-2018-2-sauer-wohlrabe-ifo%20business-climate-index-june.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Stefan Mittnik & Nikolay Robinzonov & Klaus Wohlrabe, 2013. "The Micro Dynamics of Macro Announcements," CESifo Working Paper Series 4421, CESifo.
    2. 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.
    3. Georg Goldrian, 2004. "Handbuch der umfragebasierten Konjunkturforschung," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 15.
    4. Klaus Wohlrabe & Przemyslaw Wojciechowski, 2014. "Die ifo Konjunkturbefragungen im Dienstleistungssektor – Hintergründe, Erklärungen und Performance," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 67(21), pages 47-53, November.
    5. Klaus Wohlrabe & Timo Wollmershäuser, 2017. "Über die richtige Interpretation des ifo Geschäftsklimas als konjunktureller Frühindikator," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 70(15), pages 42-46, August.
    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. Zeno Enders & Franziska Hünnekes & Gernot Müller, 2022. "Firm Expectations and Economic Activity," Journal of the European Economic Association, European Economic Association, vol. 20(6), pages 2396-2439.
    2. Born, Benjamin & Enders, Zeno & Menkhoff, Manuel & Müller, Gernot & Niemann, Knut, 2022. "Firm Expectations and News: Micro v Macro," CEPR Discussion Papers 17768, C.E.P.R. Discussion Papers.
    3. Przemyslaw Brandt & Katrin Demmelhuber & Klaus Wohlrabe, 2021. "The effect of dispatch methods on a recruiting campaign for a business survey: evidence from Germany," Applied Economics Letters, Taylor & Francis Journals, vol. 28(13), pages 1141-1144, July.
    4. Virla, Leonardo Quero, 2021. "An empirical characterization of volatility dynamics in the DAX," IPE Working Papers 167/2021, Berlin School of Economics and Law, Institute for International Political Economy (IPE).
    5. Leonardo Quero Virla, 2023. "An empirical characterization of volatility in the German stock market," SN Business & Economics, Springer, vol. 3(7), pages 1-19, July.
    6. Robert Lehmann & Magnus Reif, 2021. "Predicting the German Economy: Headline Survey Indices Under Test," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(2), pages 215-232, November.
    7. Robert Lehmann, 2023. "The Forecasting Power of the ifo Business Survey," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(1), pages 43-94, March.
    8. Thomas Licht & Klaus Wohlrabe, 2024. "AI Adoption Among German Firms," CESifo Working Paper Series 11459, CESifo.
    9. Dorine Boumans & Clemens Fuest & Carla Krolage & Klaus Wohlrabe, 2020. "Expected effects of the US tax reform on other countries: global and local survey evidence," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 27(6), pages 1608-1630, December.
    10. Rakovská, Zuzana, 2021. "Composite survey sentiment as a predictor of future market returns: Evidence for German equity indices," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 473-495.
    11. Jonas Hennrich & Stefan Sauer & Klaus Wohlrabe, 2023. "Who Reports the Mood in German Boardrooms? Evidence from the ifo Business Survey," CESifo Working Paper Series 10571, CESifo.
    12. 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.
    13. Axel Pols & Stefan Sauer & Klaus Wohlrabe, 2019. "The Bitkom-ifo Digital Index: A New Indicator for the Economic Development of the Digital Economy in Germany," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 20(03), pages 31-32, October.
    14. Fabian Stephany & Leonie Neuhäuser & Niklas Stoehr & Philipp Darius & Ole Teutloff & Fabian Braesemann, 2022. "The CoRisk-Index: a data-mining approach to identify industry-specific risk perceptions related to Covid-19," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-15, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Stefan Sauer & Klaus Wohlrabe, 2018. "Das neue ifo Geschäftsklima Deutschland," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 71(07), pages 54-60, April.
    2. Robert Lehmann, 2023. "The Forecasting Power of the ifo Business Survey," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(1), pages 43-94, March.
    3. 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.
    4. Sabine Rumscheidt, 2017. "Die ifo Konjunkturumfrage im Großhandel – Frühindikator für die wirtschaftliche Entwicklung der Branche?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 70(11), pages 49-54, June.
    5. 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.
    6. Bernhard Kassner & Klaus Wohlrabe, 2018. "Eine Analyse des Antwortverhaltens in der ifo Industrieumfrage," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 71(03), pages 29-34, February.
    7. Klaus Wohlrabe & Przemyslaw Wojciechowski, 2014. "Die ifo Konjunkturbefragungen im Dienstleistungssektor – Hintergründe, Erklärungen und Performance," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 67(21), pages 47-53, November.
    8. Klaus Wohlrabe, 2012. "Prognose des Dienstleistungssektors in Deutschland," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 65(01), pages 31-39, January.
    9. 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.
    10. Stefan Sauer & Klaus Wohlrabe, 2019. "Chef oder Praktikant – wer beantwortet eigentlich die Fragebögen in den ifo Konjunkturumfragen?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 72(03), pages 30-32, February.
    11. Klaus Abberger & Sascha Becker & Barbara Hofmann & Klaus Wohlrabe, 2007. "Mikrodaten im ifo Institut für Wirtschaftsforschung – Bestand, Verwendung und Zugang," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 1(1), pages 27-42, June.
    12. Klaus Abberger & Wolfgang Nierhaus, 2008. "Markov-Switching und ifo Geschäftsklima," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(10), pages 25-30, May.
    13. Sascha O. Becker & Klaus Wohlrabe, 2008. "European Data Watch: Micro Data at the Ifo Institute for Economic Research – The “Ifo Business Survey”, Usage and Access," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 128(2), pages 307-319.
    14. 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.
    15. Baumann, Alexendra & Wohlrabe, Klaus, 2019. "Publikationen von Wirtschaftsforschungsinstituten im deutschsprachigen Raum - Eine bibliometrische Analyse [Publications of Economic Research Insitutes in the German Speaking Area - A bibliometric ," MPRA Paper 92240, University Library of Munich, Germany.
    16. Sauer,Stefan & Klaus Wohlrabe & Stefan Sauer, 2019. "CEO or Intern − Who Actually Answers the Questionnaires in the ifo Business Survey?," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 20(02), pages 29-31, July.
    17. 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.
    18. Steffen Henzel & Robert Lehmann & Klaus Wohlrabe, 2015. "Die Machbarkeit von Kurzfristprognosen für den Freistaat Sachsen," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 22(04), pages 21-25, August.
    19. Klaus Abberger & Gebhard Flaig & Wolfgang Nierhaus, 2007. "ifo Konjunkturumfragen und Konjunkturanalyse : ausgewählte methodische Aufsätze aus dem ifo Schnelldienst," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 33.
    20. Franziska Fobbe & Robert Lehmann, 2016. "Elektromotoren, Energieversorgung und Erziehung: Die Güte der entstehungsseitigen ifo-Kurzfristprognose," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 69(12), pages 58-63, June.

    More about this item

    Keywords

    Konjunktur; Wirtschaftsprognose; Frühindikator; Deutschland; Geschäftsklima;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General

    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:ifofor:v:19:y:2018:i:02:p:59-64. See general information about how to correct material in RePEc.

    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 bibliographic 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.

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

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.