IDEAS home Printed from https://ideas.repec.org/p/ces/ceswps/_9666.html
   My bibliography  Save this paper

Beyond the Business Climate: Regular and Supplementary Questions in the ifo Business Survey

Author

Listed:
  • Katrin Demmelhuber
  • Stefan Sauer
  • Klaus Wohlrabe

Abstract

In the monthly ifo Business Survey around 9,000 German companies answer questions about their current business situation, expectations and plans for the near future as well as on other business variables. This paper provides an overview of all regular questions (monthly, quarterly, bi-annually, annually). Furthermore, a special focus lies on detailed information about all supplementary questions since 2009. This overview can be used as a guide for future research projects. The ifo Institute provides the data via two channels: On one side, researchers can work with the firm-level microdata of all survey questions at the LMU-ifo Economics & Business Data Center (EBDC). On the other side, data sets of aggregated time-series for all regularly surveyed variables can be obtained from the ifo Center for Macroeconomics and Surveys.

Suggested Citation

  • Katrin Demmelhuber & Stefan Sauer & Klaus Wohlrabe, 2022. "Beyond the Business Climate: Regular and Supplementary Questions in the ifo Business Survey," CESifo Working Paper Series 9666, CESifo.
    • Handle: RePEc:ces:ceswps:_9666
    as

    Download full text from publisher

    File URL: https://www.cesifo.org/DocDL/cesifo1_wp9666.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Klaus Abberger & Christa Hainz & André Kunkel, 2009. "Kreditvergabepolitik der Banken: Warum leiden große Unternehmen besonders?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 62(14), pages 32-34, July.
    2. Ruediger Bachmann & Kai Carstensen & Stefan Lautenbacher & Martin Schneider, 2021. "Uncertainty and Change: Survey Evidence of Firms' Subjective Beliefs," NBER Working Papers 29430, National Bureau of Economic Research, Inc.
    3. Wolfgang Nierhaus & Klaus Abberger, 2014. "Zur Prognose von konjunkturellen Wendepunkten: Dreimal-Regelversus Markov-Switching," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 67(16), pages 21-25, August.
    4. 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.
    5. Alipour, Jean-Victor & Fadinger, Harald & Schymik, Jan, 2021. "My home is my castle – The benefits of working from home during a pandemic crisis," Journal of Public Economics, Elsevier, vol. 196(C).
    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. Magdolna Hiersemenzel & Stefan Sauer & Klaus Wohlrabe, 2022. "On the Representativeness of the ifo Business Survey," CESifo Working Paper Series 9863, CESifo.
    2. Demmelhuber Katrin & Sauer Stefan & Wohlrabe Klaus, 2023. "Beyond the Business Climate: Supplementary Questions in the ifo Business Survey," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 243(2), pages 169-182, April.

    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. 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.
    2. 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, July.
    3. Demmelhuber Katrin & Sauer Stefan & Wohlrabe Klaus, 2023. "Beyond the Business Climate: Supplementary Questions in the ifo Business Survey," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 243(2), pages 169-182, April.
    4. Piotr Lewandowski & Katarzyna Lipowska & Mateusz Smoter, 2022. "Working from home during a pandemic – a discrete choice experiment in Poland," IBS Working Papers 03/2022, Instytut Badan Strukturalnych.
    5. Veronika Harantová & Ambróz Hájnik & Alica Kalašová & Tomasz Figlus, 2022. "The Effect of the COVID-19 Pandemic on Traffic Flow Characteristics, Emissions Production and Fuel Consumption at a Selected Intersection in Slovakia," Energies, MDPI, vol. 15(6), pages 1-21, March.
    6. Chen, Cheng & Senga, Tatsuro & Sun, Chang & Zhang, Hongyong, 2023. "Uncertainty, imperfect information, and expectation formation over the firm’s life cycle," Journal of Monetary Economics, Elsevier, vol. 140(C), pages 60-77.
    7. Elstner, Steffen & Grimme, Christian & Kecht, Valentin & Lehmann, Robert, 2022. "The diffusion of technological progress in ICT," European Economic Review, Elsevier, vol. 149(C).
    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. 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.
    10. Klaus Wohlrabe, 2011. "Konstruktion von Indikatoren zur Analyse der wirtschaftlichen Aktivität in den Dienstleistungsbereichen," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 55, July.
    11. Link, Sebastian & Peichl, Andreas & Roth, Christopher & Wohlfart, Johannes, 2023. "Attention to the Macroeconomy," CEPR Discussion Papers 18699, C.E.P.R. Discussion Papers.
    12. Coskun, Sena & Dauth, Wolfgang & Gartner, Hermann & Stops, Michael & Weber, Enzo, 2024. "Working from Home Increases Work-Home Distances," IZA Discussion Papers 16855, Institute of Labor Economics (IZA).
    13. Toshihiro Okubo, 2024. "Non‐routine tasks and ICT tools in telework," LABOUR, CEIS, vol. 38(2), pages 177-202, June.
    14. Efrem Castelnuovo, 2022. "Uncertainty Before and During COVID-19: A Survey," "Marco Fanno" Working Papers 0279, Dipartimento di Scienze Economiche "Marco Fanno".
    15. Seiler, Christian & Heumann, Christian, 2013. "Microdata imputations and macrodata implications: Evidence from the Ifo Business Survey," Economic Modelling, Elsevier, vol. 35(C), pages 722-733.
    16. Cevat Giray Aksoy & Jose Maria Barrero & Nicholas Bloom & Steven J. Davis & Mathias Dolls & Pablo Zarate, 2022. "Working from Home Around the World," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 53(2 (Fall)), pages 281-360.
    17. Anthonin Levelu & Alexander-Nikolai Sandkamp, 2022. "A Lockdown a Day Keeps the Doctor Away: The Global Effectiveness of Non-Pharmaceutical Interventions in Mitigating the Covid-19 Pandemic," CESifo Working Paper Series 10023, CESifo.
    18. Alipour, Jean-Victor & Falck, Oliver & Schüller, Simone, 2023. "Germany’s capacity to work from home," European Economic Review, Elsevier, vol. 151(C).
    19. Piotr Lewandowski & Katarzyna Lipowska & Mateusz Smoter, 2022. "Mismatch in preferences for working from home – evidence from discrete choice experiments with workers and employers," IBS Working Papers 05/2022, Instytut Badan Strukturalnych.
    20. Brotherhood, Luiz & Jerbashian, Vahagn, 2023. "Firm behavior during an epidemic," Journal of Economic Dynamics and Control, Elsevier, vol. 147(C).

    More about this item

    Keywords

    Business Survey; survey methodology; business climate; business cycle; microdata; questionnaire; time series; forecasting;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

    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:ceswps:_9666. 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/cesifde.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.