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Weekly Economic Activity: Measurement and Informational Content

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  • Philipp Wegmüller
  • Christian Glocker

    (WIFO)

  • Valentino Guggia

Abstract

We construct a composite index to measure real activity of the Swiss economy on a weekly frequency. The index is based on a novel high-frequency data-set capturing economic activity across distinct dimensions over a long-time horizon. An adequate adjustment of raw data prior to deriving the latent factor is crucial for obtaining precise business cycle signals. By means of a real-time evaluation, we highlight the importance of our proposed adjustment procedure: first, our weekly index significantly outperforms a comparable index without adjusted input variables; secondly, the weekly index outperforms established monthly indicators in nowcasting GDP growth. These insights should help improve recently developed high-frequency indicators.

Suggested Citation

  • Philipp Wegmüller & Christian Glocker & Valentino Guggia, 2021. "Weekly Economic Activity: Measurement and Informational Content," WIFO Working Papers 627, WIFO.
  • Handle: RePEc:wfo:wpaper:y:2021:i:627
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    Cited by:

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    2. Daniel J. Lewis & Karel Mertens & James H. Stock & Mihir Trivedi, 2022. "Measuring real activity using a weekly economic index," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(4), pages 667-687, June.
    3. Yang, Jinyu & Dong, Dayong & Liang, Chao, 2024. "Climate policy uncertainty and the U.S. economic cycle," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    4. Martin Brown & Matthias R. Fengler & Jonas Huwyler & Winfried Koeniger & Rafael Lalive & Robert Rohrkemper, 2023. "Monitoring consumption Switzerland: data, background, and use cases," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 159(1), pages 1-16, December.
    5. Sylvia Kaufmann, 2023. "Covid-19 outbreak and beyond: a retrospect on the information content of short-time workers for GDP now- and forecasting," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 159(1), pages 1-10, December.
    6. Marc Burri, 2023. "Do daily lead texts help nowcasting GDP growth?," IRENE Working Papers 23-02, IRENE Institute of Economic Research.
    7. Sylvia Kaufmann, 2022. "Covid-19 outbreak and beyond: A retrospect on the information content of registered short-time workers for GDP now- and forecasting," Working Papers 22.02R, Swiss National Bank, Study Center Gerzensee.
    8. Philipp Wegmüller & Christian Glocker, 2023. "US weekly economic index: Replication and extension," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 977-985, September.
    9. Alina Stundziene & Vaida Pilinkiene & Jurgita Bruneckiene & Andrius Grybauskas & Mantas Lukauskas, 2023. "Nowcasting Economic Activity Using Electricity Market Data: The Case of Lithuania," Economies, MDPI, vol. 11(5), pages 1-21, May.
    10. Laura Felber & Dr. Simon Beyeler, 2023. "Nowcasting economic activity using transaction payments data," Working Papers 2023-01, Swiss National Bank.

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    Keywords

    Business cycle index; Dynamic factor model; High-frequency data; Nowcasting;
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