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Would information on consumer confidence have helped to predict UK household expenditure during the recent economic crisis?

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  • Robert Gausden
  • Mohammad S. Hasan

Abstract

The objective is to investigate whether access to data on consumer confidence would have aided forecasts of the growth of UK household consumption expenditure over the recent period of economic crisis. A disaggregated study is performed on the basis that consideration is given not only to household spending in total but also to expenditure on each of durable goods, semi-durable goods, nondurable goods and services. The empirical analysis demonstrates how modifications which are made to the harmonized indicator of the European Commission are able to enhance predictive accuracy. However, the benefit which is derived from consulting consumer survey data does not extend to an earlier interval over which the behaviour of consumer sentiment was far less volatile.

Suggested Citation

  • Robert Gausden & Mohammad S. Hasan, 2016. "Would information on consumer confidence have helped to predict UK household expenditure during the recent economic crisis?," Applied Economics, Taylor & Francis Journals, vol. 48(18), pages 1695-1709, April.
    • Handle: RePEc:taf:applec:v:48:y:2016:i:18:p:1695-1709
    DOI: 10.1080/00036846.2015.1105926
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    References listed on IDEAS

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    Cited by:

    1. Aneta M. Klopocka & Rumiana Gorska, 2021. "Forecasting Household Saving Rate with Consumer Confidence Indicator and its Components: Panel Data Analysis of 14 European Countries," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 874-898.
    2. Ivana Lolić & Marija Logarušić & Mirjana Čižmešija, 2022. "Recent Revision of the European Consumer Confidence Indicator: Is There any additional Space for Improvement?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 159(3), pages 845-863, February.
    3. Robert Gausden & Mohammad Hasan, 2022. "A reappraisal of Katona’s adaptive theory of consumer behaviour using U.K. data," Manchester School, University of Manchester, vol. 90(2), pages 122-143, March.

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