Consumer sentiment and consumer spending: decomposing the Granger causal relationship in the time domain
AbstractIt is often believed that the consumer sentiment index has predictive power for future consumption levels. While Granger causality tests have already been used to test for this, no attempt has been made yet to quantify the predictive power of the consumer sentiment index over different time horizons. In this article, we decompose the Granger causality at different time lags, by looking at a sequence of nested prediction models. Since the consumer sentiment index turns out to be cointegrated with real consumption, we resort to error correcting models. Four consumption series are studied, namely total real consumption, real consumption of durables, non-durables and services. Among other findings, we show that the consumer sentiment index Granger causes future consumption with an average time lag of 4-5 months. Furthermore, it is found that the consumer sentiment index has more incremental predictive power for consumption of services than for consumption of durables or non-durables, and that the index is not only useful as a predictor at the very short term, but keeps predictive power at larger time horizons.
Download InfoIf 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.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Taylor and Francis Journals in its journal Applied Economics.
Volume (Year): 39 (2007)
Issue (Month): 1 ()
Contact details of provider:
Web page: http://www.tandf.co.uk/journals/routledge/00036846.html
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.:
- Kumar, V. & Leone, Robert P. & Gaskins, John N., 1995. "Aggregate and disaggregate sector forecasting using consumer confidence measures," International Journal of Forecasting, Elsevier, vol. 11(3), pages 361-377, September.
- Batchelor, Roy & Dua, Pami, 1998. "Improving macro-economic forecasts: The role of consumer confidence," International Journal of Forecasting, Elsevier, vol. 14(1), pages 71-81, March.
- Lemmens, A. & Croux, C. & Dekimpe, M.G., 2004.
"On The Predictive Content Of Production Surveys: A Pan-European Study,"
ERS-2004-017-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni.
- Lemmens, Aurelie & Croux, Christophe & Dekimpe, Marnik G., 2005. "On the predictive content of production surveys: A pan-European study," International Journal of Forecasting, Elsevier, vol. 21(2), pages 363-375.
- Charles Delorme & David Kamerschen & Lisa Ford Voeks, 2001. "Consumer confidence and rational expectations in the United States compared with the United Kingdom," Applied Economics, Taylor and Francis Journals, vol. 33(7), pages 863-869.
- Lemmens, Aurélie & Croux, Christophe & Dekimpe, Marnik, 2005. "On the predictive content of production surveys: A pan-European study," Open Access publications from Katholieke Universiteit Leuven urn:hdl:123456789/101089, Katholieke Universiteit Leuven.
- Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501, September.
- Qiao, Zhuo & McAleer, Michael & Wong, Wing-Keung, 2009. "Linear and nonlinear causality between changes in consumption and consumer attitudes," Economics Letters, Elsevier, vol. 102(3), pages 161-164, March.
- Lux, Thomas, 2009.
"Rational forecasts or social opinion dynamics? Identification of interaction effects in a business climate survey,"
Journal of Economic Behavior & Organization,
Elsevier, vol. 72(2), pages 638-655, November.
- Lux, Thomas, 2008. "Rational forecasts or social opinion dynamics? Identification of interaction effects in a business climate survey," Economics Working Papers 2008,07, Christian-Albrechts-University of Kiel, Department of Economics.
- Thomas Lux, 2008. "Rational Forecasts or Social Opinion Dynamics? Identification of Interaction Effects in a Business Climate Survey," Kiel Working Papers 1424, Kiel Institute for the World Economy.
- Thomas Lux, 2007. "Rational Forecasts or Social Opinion Dynamics? Identification of Interaction Effects in a Business Climate Survey," Working Papers wp07-11, Warwick Business School, Financial Econometrics Research Centre.
- Douglas Lamdin, 2008. "Does Consumer Sentiment Foretell Revolving Credit Use?," Journal of Family and Economic Issues, Springer, vol. 29(2), pages 279-288, June.
- Dudek, Sławomir, 2008. "Consumer Survey Data and short-term forecasting of households consumption expenditures in Poland," MPRA Paper 19818, University Library of Munich, Germany.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael McNulty).
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.