Skip to content

An assessment of the contribution of consumer confidence towards household spending decisions using UK data

Research output: Contribution to journalArticle

The European Commission’s consumer confidence indicator (CCI) is assembled from responses to four questions about individual and general economic prospects which form part of the EU’s Consumer Survey. However, concerns may be raised about whether the four components should be constrained to exerting the same influence in a forecasting model of household consumption. Also, in this context, it would seem to be appropriate to permit a role to other information that is obtained from the EU survey. Consequently, in this paper, different regression functions are specified in order to assess whether there is any gain to be achieved in predictive accuracy from adopting a more flexible approach towards using the data from the EU questionnaire. With an emphasis upon parsimony, an econometric analysis is performed in conjunction with UK quarterly data on household consumption expenditure. For two categories of spending, it is discovered that the quality of forecasts benefits from having undertaken disaggregation involving survey data beyond those which contribute towards the calculation of the CCI. Indeed, the respective consumption variables (relating to non-durable goods and durable goods excluding vehicles) are seen to be associated with relatively volatile behaviour over the forecast interval, 2008 – 2013.
Original languageEnglish
Number of pages17
JournalApplied Economics
Early online date11 Aug 2017
DOIs
Publication statusEarly online - 11 Aug 2017

Documents

  • An assessment of the contribution of consumer confidence

    Rights statement: This is an Accepted Manuscript of an article published by Taylor & Francis in Applied Economics on 11.08.2017, available online: http://www.tandfonline.com/10.1080/00036846.2017.1363859.

    Accepted author manuscript (Post-print), 617 KB, PDF document

Related information

Relations Get citation (various referencing formats)

ID: 7583222