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The Real-Time Predictive Content of the KOF Economic Barometer

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  • Boriss Siliverstovs

Abstract

We investigate whether the KOF Economic Barometer - a leading indicator released by the KOF Swiss Economic Institute - is useful for short-term prediction of quarterly year-on-year real GDP growth in Switzerland. Using a real-time data set consisting of historical vintages of GDP data and the leading indicator we find that the model augemented with the KOF Barometer produces more accurate forecasts of the Swiss GDP than purely autoregressive models and consensus forecasts.

Suggested Citation

  • 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.
    • Handle: RePEc:ses:arsjes:2011-iii-4
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    References listed on IDEAS

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    Cited by:

    1. Kaufmann, Daniel & Scheufele, Rolf, 2017. "Business tendency surveys and macroeconomic fluctuations," International Journal of Forecasting, Elsevier, vol. 33(4), pages 878-893.
    2. 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.
    3. Andreas Brunhart, 2015. "The Swiss Business Cycle and the Lead of Small Neighbor Liechtenstein," Arbeitspapiere 51, Liechtenstein-Institut.
    4. 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.
    5. 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.
    6. Abberger, Klaus & Graff, Michael & Siliverstovs, Boriss & Sturm, Jan-Egbert, 2018. "Using rule-based updating procedures to improve the performance of composite indicators," Economic Modelling, Elsevier, vol. 68(C), pages 127-144.

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    More about this item

    Keywords

    Leading indicators; forecasting; Switzerland;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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