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What Is Behind the ifo Business Climate? Evidence from a Meta-Survey

Author

Listed:
  • Stefan Sauer
  • Klaus Wohlrabe

Abstract

The ifo Business Climate Index is considered as one of the most important leading indicators for the German economy. It is based on a monthly survey of about 9,000 companies located in Germany and composed of two main questions from the monthly questionnaire: the assessment of the current business situation and the business expectations for the next six months. The terms 'business situation' and 'business expectations' are formulated deliberately vague and not explicitly defined. Thus, each survey participant can consider its own main driving factors. But what are these underlying factors? Do they differ between sectors or by firm size? To answer these questions, we conducted a meta-survey among all survey participants. The results suggest, that especially internal company factors, such as the profit situation, demand, and turnover, are crucial. Generally, using a principal component analysis we show, that these factors can be decomposed into three components: (1) the overall financial situation, (2) the demand and order situation, and (3) external influences. Our findings provide some insights concerning the high predictive power of the ifo Business Climate Index and its components. Furthermore, the identified factors might also be useful for business cycle analyses in practice.

Suggested Citation

  • Stefan Sauer & Klaus Wohlrabe, 2024. "What Is Behind the ifo Business Climate? Evidence from a Meta-Survey," CESifo Working Paper Series 11482, CESifo.
  • Handle: RePEc:ces:ceswps:_11482
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    References listed on IDEAS

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    1. Link, Sebastian & Peichl, Andreas & Roth, Christopher & Wohlfart, Johannes, 2023. "Information frictions among firms and households," Journal of Monetary Economics, Elsevier, vol. 135(C), pages 99-115.
    2. 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.
    3. Garnitz, Johanna & Lehmann, Robert & Wohlrabe, Klaus, 2019. "Forecasting GDP all over the world using leading indicators based on comprehensive survey data," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 51(54), pages 5802-5816.
    4. 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.
    5. R?diger Bachmann & Steffen Elstner & Eric R. Sims, 2013. "Uncertainty and Economic Activity: Evidence from Business Survey Data," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(2), pages 217-249, April.
    6. Henry Kaiser, 1958. "The varimax criterion for analytic rotation in factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 23(3), pages 187-200, September.
    7. Gabe J. Bondt, 2019. "A PMI-Based Real GDP Tracker for the Euro Area," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 15(2), pages 147-170, December.
    8. Link, Sebastian, 2024. "The price and employment response of firms to the introduction of minimum wages," Journal of Public Economics, Elsevier, vol. 239(C).
    9. Raïsa Basselier & David Antonio Liedo & Geert Langenus, 2018. "Nowcasting Real Economic Activity in the Euro Area: Assessing the Impact of Qualitative Surveys," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 14(1), pages 1-46, April.
    10. Dovern, Jonas & Müller, Lena Sophia & Wohlrabe, Klaus, 2023. "Local information and firm expectations about aggregates," Journal of Monetary Economics, Elsevier, vol. 138(C), pages 1-13.
    11. Alessandro Girardi & Christian Gayer & Andreas Reuter, 2016. "The Role of Survey Data in Nowcasting Euro Area GDP Growth," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 35(5), pages 400-418, August.
    12. Klaus Abberger & Stefan Sauer & Christian Seiler, 2011. "Der Test des Tests im ifo Konjunkturtest Handel," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 52, July.
    13. 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.
    14. repec:ces:ifofor:v::y:2018:i::p: is not listed on IDEAS
    15. Claveria, Oscar & Pons, Ernest & Ramos, Raul, 2007. "Business and consumer expectations and macroeconomic forecasts," International Journal of Forecasting, Elsevier, vol. 23(1), pages 47-69.
    16. 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.
    17. Buchheim, Lukas & Dovern, Jonas & Krolage, Carla & Link, Sebastian, 2022. "Sentiment and firm behavior during the COVID-19 pandemic," Journal of Economic Behavior & Organization, Elsevier, vol. 195(C), pages 186-198.
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    More about this item

    Keywords

    ifo Business Climate; business expectations; business situation; meta-survey;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • L20 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - General

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