IDEAS home Printed from https://ideas.repec.org/a/kof/anskof/v8y2014i2p51-62.html
   My bibliography  Save this article

Metaumfrage im Dienstleistungssektor

Author

Abstract

The KOF Swiss Economic Institute has been investigating the development of the Swiss Economy for more than 75 years. To come up with a timely display of the economic situation, KOF continues to survey companies on a regular quarterly or monthly basis. Several economic indicators like the KOF Business Situation, the KOF employment indicator and the KOF Economic Barometer are computed based on survey data. In the summer of 2013 KOF conducted a feedback survey to learn more about the data generating process behind survey data and to improve the understanding of companies’ workflow to handle regular surveys. The survey was conducted among firms of the service sector and focused on measurement of capacity utilization, response burden and drivers of the assessment of the current business situation respectively expectations. Turnover and profit situation are the most important drivers of companies assessment of the business situation. Capacity utilization is mostly driven by staff related factors. The response burden caused by business tendency surveys is considered moderate on average.

Suggested Citation

  • Klaus Abberger & Matthias Bannert & Andreas Dibiasi, 2014. "Metaumfrage im Dienstleistungssektor," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, vol. 8(2), pages 51-62, June.
  • Handle: RePEc:kof:anskof:v:8:y:2014:i:2:p:51-62
    DOI: 10.3929/ethz-a-005427569
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.3929/ethz-a-005427569
    Download Restriction: no

    File URL: https://libkey.io/10.3929/ethz-a-005427569?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Kaufmann, Daniel & Scheufele, Rolf, 2017. "Business tendency surveys and macroeconomic fluctuations," International Journal of Forecasting, Elsevier, vol. 33(4), pages 878-893.
    2. Boriss Siliverstovs, 2011. "The Real-Time Predictive Content of the KOF Economic Barometer," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 147(III), pages 353-375, September.
    3. Klaus Abberger & Manuel Birnbrich & Christian Seiler, 2009. "Survey of the survey in distribution - a meta-survey on the Ifo Business Survey," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 62(21), pages 34-41, November.
    4. Boriss Siliverstovs, 2009. "Evaluating short-run forecasting properties of the KOF employment indicator for Switzerland in real time," KOF Working papers 09-226, KOF Swiss Economic Institute, ETH Zurich.
    5. 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.
    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. Matthias Bannert & Andreas Dibiasi, 2014. "Unveiling Participant Level Determinants of Unit Non-Response in Business Tendency Surveys," KOF Working papers 14-363, KOF Swiss Economic Institute, ETH Zurich.
    2. 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.
    3. Binding, Garret & Dibiasi, Andreas, 2017. "Exchange rate uncertainty and firm investment plans evidence from Swiss survey data," Journal of Macroeconomics, Elsevier, vol. 51(C), pages 1-27.

    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. James R. Hines & Niklas Potrafke & Marina Riem & Christoph Schinke, 2019. "Inter vivos transfers of ownership in family firms," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 26(2), pages 225-256, April.
    2. Matthias Bannert & Andreas Dibiasi, 2014. "Unveiling Participant Level Determinants of Unit Non-Response in Business Tendency Surveys," KOF Working papers 14-363, KOF Swiss Economic Institute, ETH Zurich.
    3. Stefan Sauer & Christian Seiler, 2014. "Business Survey in Focus: Assessment of Inventories in Distribution," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 67(04), pages 41-44, February.
    4. Stefan Sauer, 2011. "Retailing and motor-vehicle trade: larger investment budgets," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 64(17), pages 45-49, September.
    5. Marc Burri & Daniel Kaufmann, 2020. "A daily fever curve for the Swiss economy," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 156(1), pages 1-11, December.
    6. Bialowolski, Piotr & Kuszewski, Tomasz & Witkowski, Bartosz, 2015. "Bayesian averaging vs. dynamic factor models for forecasting economic aggregates with tendency survey data," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 9, pages 1-37.
    7. 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.
    8. Stefan Sauer, 2011. "Wholesaling: Increasing sales and buoyant investment dynamics," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 64(15), pages 32-35, August.
    9. Alain Galli & Christian Hepenstrick & Rolf Scheufele, 2019. "Mixed-Frequency Models for Tracking Short-Term Economic Developments in Switzerland," International Journal of Central Banking, International Journal of Central Banking, vol. 15(2), pages 151-178, June.
    10. Schenkelberg, Heike, 2011. "Why are Prices Sticky? Evidence from Business Survey Data," Discussion Papers in Economics 12158, University of Munich, Department of Economics.
    11. Klepsch, Catharina & Elsas, Ralf, 2016. "How and when do firms adjust their investments toward targets?," VfS Annual Conference 2016 (Augsburg): Demographic Change 145486, Verein für Socialpolitik / German Economic Association.
    12. Klaus Abberger & Michael Graff & Boriss Siliverstovs & Jan-Egbert Sturm, 2014. "The KOF Economic Barometer, Version 2014," KOF Working papers 14-353, KOF Swiss Economic Institute, ETH Zurich.
    13. 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.
    14. Kaufmann, Daniel & Scheufele, Rolf, 2017. "Business tendency surveys and macroeconomic fluctuations," International Journal of Forecasting, Elsevier, vol. 33(4), pages 878-893.
    15. 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.
    16. Oscar Claveria, 2018. "“A new metric of consensus for Likert scales”," IREA Working Papers 201821, University of Barcelona, Research Institute of Applied Economics, revised Oct 2018.
    17. Christian Seiler, 2012. "The Data Sets of the LMU-ifo Economics & Business Data Center – A Guide for Researchers," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 132(4), pages 609-618.
    18. Stefan Sauer, 2013. "Business Survey in Focus: Special Survey on Sales Constraints in Retailing," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(03), pages 44-45, February.
    19. Das, Abhiman & Lahiri, Kajal & Zhao, Yongchen, 2019. "Inflation expectations in India: Learning from household tendency surveys," International Journal of Forecasting, Elsevier, vol. 35(3), pages 980-993.
    20. Andreas Brunhart, 2017. "Are Microstates Necessarily Led by Their Bigger Neighbors’ Business Cycle? The Case of Liechtenstein and Switzerland," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 13(1), pages 29-52, May.

    More about this item

    Keywords

    Business Tendency Survey; Service Sector; Switzerland; Meta-information;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • L80 - Industrial Organization - - Industry Studies: Services - - - 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:kof:anskof:v:8:y:2014:i:2:p:51-62. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/koethch.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.