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Consumer sentiment and consumer spending: decomposing the Granger causal relationship in the time domain

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  • Sarah Gelper
  • Aurelie Lemmens
  • Christophe Croux

Abstract

It 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.

Suggested Citation

  • Sarah Gelper & Aurelie Lemmens & Christophe Croux, 2007. "Consumer sentiment and consumer spending: decomposing the Granger causal relationship in the time domain," Applied Economics, Taylor & Francis Journals, vol. 39(1), pages 1-11.
  • Handle: RePEc:taf:applec:v:39:y:2007:i:1:p:1-11
    DOI: 10.1080/00036840500427791
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    References listed on IDEAS

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    7. Lemmens, A. & Croux, C. & Dekimpe, M.G., 2005. "On the Predictive Content of Production Surveys : a Pan-European Study," Other publications TiSEM adab9f0e-7dfd-4dc4-bd92-b, Tilburg University, School of Economics and Management.
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    Cited by:

    1. Douglas Lamdin, 2008. "Does Consumer Sentiment Foretell Revolving Credit Use?," Journal of Family and Economic Issues, Springer, vol. 29(2), pages 279-288, June.
    2. Lux, Thomas, 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 (IfW).
    3. 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.
    4. Alessandro Attanasio & Maurizio Maravalle & Giulia Fioravanti, 2012. "Examining Granger causality between atmospheric parameters and radon," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 62(2), pages 723-731, June.
    5. Atsuo Utaka, 2014. "Consumer Confidence and the Japanese Economy -Comparison of Pre- and Post-Bubble Period-," Economics Bulletin, AccessEcon, vol. 34(2), pages 1165-1173.
    6. repec:spr:soinre:v:135:y:2018:i:1:d:10.1007_s11205-016-1490-3 is not listed on IDEAS
    7. Yap, Ghialy & Allen, David, 2011. "Investigating other leading indicators influencing Australian domestic tourism demand," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(7), pages 1365-1374.
    8. Dudek, SÅ‚awomir, 2008. "Consumer Survey Data and short-term forecasting of households consumption expenditures in Poland," MPRA Paper 19818, University Library of Munich, Germany.
    9. Ece Oral & Turknur Brand, 2014. "Consumer Tendency Survey of Turkey : A Disaggregated Analysis," Working Papers 1432, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    10. Hassan Gholipour Fereidouni & Reza Tajaddini, 2017. "Housing Wealth, Financial Wealth and Consumption Expenditure: The Role of Consumer Confidence," The Journal of Real Estate Finance and Economics, Springer, vol. 54(2), pages 216-236, February.
    11. repec:eco:journ1:2017-05-50 is not listed on IDEAS
    12. Thomas Lux & Jaba Ghonghadze, 2011. "Modeling the Dynamics of EU Economic Sentiment Indicators: An Interaction-Based Approach," Post-Print hal-00711445, HAL.
    13. repec:eee:touman:v:47:y:2015:i:c:p:213-223 is not listed on IDEAS
    14. Sarah Gelper & Christophe Croux, 2010. "On the Construction of the European Economic Sentiment Indicator," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(1), pages 47-62, February.
    15. Mohd Haniff, NorAzza & Masih, Mansur, 2016. "Does consumer sentiment predict consumer spending in Malaysia? an autoregressive distributed lag (ARDL) approach," MPRA Paper 69769, University Library of Munich, Germany.
    16. Thomas Lux, 2009. "Rational Forecasts or Social Opinion Dynamics? Identification of Interaction Effects in a Business Climate Survey," Post-Print hal-00720175, HAL.
    17. Stephen Bruestle & W. Mark Crain, 2015. "A mean-variance approach to forecasting with the consumer confidence index," Applied Economics, Taylor & Francis Journals, vol. 47(23), pages 2430-2444, May.
    18. 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.
    19. Mateus, Cesario & Chinthalapati, Raju & Mateus, Irina B., 2017. "Intraday industry-specific spillover effect in European equity markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 63(C), pages 278-298.
    20. Ghonghadze, Jaba & Lux, Thomas, 2009. "Modeling the dynamics of EU economic sentiment indicators: an interaction-based approach," Kiel Working Papers 1487, Kiel Institute for the World Economy (IfW).

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