IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Are Survey Indicators Useful for Monitoring Consumption Growth: Evidence from European Countries

  • N.J. Nahuis

This paper analyses the information content of two potential survey indicators for consumption growth. Most short-term analyses only focus on consumer confidence, which measures confidence of buyers of consumption goods. However, this paper shows that this is optimal for only three of the eight countries in our sample. For the other countries the retail sales indicator, a measure of confidence of sellers of consumption goods, can improve the quality of short-term analyses substantially. For the UK this indicator even outperforms consumer confidence. For the remaining four countries we show that combining consumer sentiment and the retail sales indicator into a composite indicator leads to optimal results.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.dnb.nl/binaries/ms2000-08_tcm46-147296.pdf
Download Restriction: no

Paper provided by Netherlands Central Bank, Monetary and Economic Policy Department in its series MEB Series (discontinued) with number 2000-8.

as
in new window

Length:
Date of creation: Jun 2000
Date of revision:
Handle: RePEc:dnb:mebser:2000-8
Contact details of provider: Postal: Postbus 98, 1000 AB Amsterdam
Web page: http://www.dnb.nl/en/

More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Fuhrer, Jeffrey C, 1988. "On the Information Content of Consumer Survey Expectations," The Review of Economics and Statistics, MIT Press, vol. 70(1), pages 140-44, February.
  2. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-38, July.
  3. Djerf, Kari & Takala, Kari, 1997. "Macroeconomy and Consumer Sentiment: Performance of the Finnish Consumer Barometer after Ten Years," Research Discussion Papers 20/1997, Bank of Finland.
  4. A. Bayar & K. Mc Morrow, 1999. "Determinants of private consumption," European Economy - Economic Papers 135, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:dnb:mebser:2000-8. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Rob Vet)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.