IDEAS home Printed from https://ideas.repec.org/p/eoe/escoed/escoe-dp-2023-11.html

Can sectoral out and trade data improve early estimates of consumption and investment? A preliminary investigation

Author

Listed:
  • Macqueen, Rory
  • Galvão, Ana Beatriz
  • Wright, Stephen

Abstract

Input-output tables, currently published by the ONS with a lag of at least four years (and distinctly longer in earlier data), provide an accounting relation that decomposes final expenditure components into the contribution of sectoral outputs and imports. In this paper, we report on a preliminary investigation into whether past values of the associated weighting matrices can be used to nowcast real growth of Consumers’ Expenditure and Gross Fixed Capital Formation (GFCF) from timely data on quarterly growth rates of sectoral GVA and aggregate imports. For 2010-2019, we find a stark, puzzling, contrast. The nowcasts for GFCF predict roughly as well as the ONS’s first estimates of GFCF when considered as forecasts of the latest data, but the nowcasts have close to zero predictive value for consumption: the implied predictions are excessively volatile and almost uncorrelated with actual consumption growth on the latest data. We conduct a preliminary investigation of the source of these nowcast errors. Further restrictions on the nowcasting system and exploitation of other existing datasets to improve nowcast accuracy are proposed.

Suggested Citation

  • Macqueen, Rory & Galvão, Ana Beatriz & Wright, Stephen, 2023. "Can sectoral out and trade data improve early estimates of consumption and investment? A preliminary investigation," Discussion Papers escoe-dp-2023-11, Economic Statistics Centre of Excellence.
  • Handle: RePEc:eoe:escoed:escoe-dp-2023-11
    as

    Download full text from publisher

    File URL: https://www.repository-escoe.com/id/eprint/20/1/ESCoE%20DP%202023-11.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models

    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:eoe:escoed:escoe-dp-2023-11. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Communications Manager (email available below). General contact details of provider: https://edirc.repec.org/data/escoeuk.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.