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Composite global indicators from survey data: the Global Economic Barometers

Author

Listed:
  • Klaus Abberger

    (ETH Zürich
    CESifo)

  • Michael Graff

    (ETH Zürich)

  • Oliver Müller

    (ETH Zürich)

  • Jan-Egbert Sturm

    (ETH Zürich
    CESifo)

Abstract

This paper presents a coincident and a leading composite monthly indicator for the world business cycle—the Global Economic Barometers. Both target the world’s output growth rate and consist of economic tendency surveys results from many countries around the world. The calculation of these indicators comprises two main stages. The first consists of a variable selection procedure, in which a pre-set correlation threshold and the targeted leads to the reference series are used as selection criteria. In the second stage, the selected variables are combined and transformed into the respective composite indicators, computed as the first partial least squares factor with the reference series as response variable. We analyse the characteristics of the two new indicators in a pseudo real-time setting and demonstrate that both are useful additions to the small number of indicators for the global business cycle published so far. Finally, yet importantly, the Barometers were quick to plunge in the beginning of March 2020 and have since then given a reliable real-time reflection of the economic consequences of the Covid-19 pandemic.

Suggested Citation

  • Klaus Abberger & Michael Graff & Oliver Müller & Jan-Egbert Sturm, 2022. "Composite global indicators from survey data: the Global Economic Barometers," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 158(3), pages 917-945, August.
    • Handle: RePEc:spr:weltar:v:158:y:2022:i:3:d:10.1007_s10290-021-00449-8
    DOI: 10.1007/s10290-021-00449-8
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    References listed on IDEAS

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    Cited by:

    1. Klaus Abberger & Michael Graff & Oliver Müller & Boriss Siliverstovs, 2023. "Imputing Monthly Values for Quarterly Time Series: An Application Performed with Swiss Business Cycle Data," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(3), pages 241-273, November.
    2. Jordi Pons-Novell & Montserrat Guillen, 2022. "The Autonomous Capacity of the Elderly Population in Spain for Shopping and Preparing Meals," IJERPH, MDPI, vol. 19(22), pages 1-16, November.

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    More about this item

    Keywords

    Business cycles; Composite indicators; Covid-19 pandemic; Leading indicators; Coincident indicators; Partial least squares; Real-time simulations; World economy;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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