[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/902.html
   My bibliography  Save this paper

Does Consumer Confidence Forecast Household Spending?

Author

Listed:
  • Dion, David Pascal
Abstract
The traditional consumption function based on the life cycle permanent income hypothesis (LC-PIH) considers that consumer spending is based on households’ expectations of their future income. However, in short-term forecasting, the traditional economic determinants of consumption do not perform accurately. In addition to these macroeconomic variables, a measure of uncertainty is needed to better assess the short-term dynamics of the consumption function. Such a measure of uncertainty may be given by households’ expectations about their personal financial situation and general economic situation. A measure of these expectations is provided by consumer confidence (measured by the Consumer Confidence Index - CCI). In addition, consumer confidence seems to contain both a forecasting and independent explicative ability to predict consumption. Economic variables do not fully explain confidence, suggesting that its independent explicative power stems from its idiosyncratic features. We discuss in detail these features thanks to a review of the theoretical and empirical literature by discussing the consistency of consumer confidence with the standard consumption theory, analysing the determinants of the CCI and studying the predictive and causal power of the CCI.

Suggested Citation

  • Dion, David Pascal, 2006. "Does Consumer Confidence Forecast Household Spending?," MPRA Paper 902, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:902
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/902/1/MPRA_paper_902.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hatice Gökçe Karasoy Can & Çağlar Yüncüler, 2018. "The Explanatory Power and the Forecast Performance of Consumer Confidence Indices for Private Consumption Growth in Turkey," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(9), pages 2136-2152, July.
    2. Orlando Gomes, 2010. "Consumer confidence, endogenous growth and endogenous cycles," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 37(4), pages 377-404, September.
    3. Mali Chivakul & Bernhard Kassner, 2019. "Can Consumption Growth in China Keep Up as Investment Slows?," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 61(3), pages 381-412, September.
    4. Gomes, Orlando, 2007. "On the stability of endogenous growth models: an evaluation of the agents’ response to output fluctuations," MPRA Paper 2891, University Library of Munich, Germany.
    5. Ramalho, Esmeralda A. & Caleiro, António & Dionfsio, Andreia, 2011. "Explaining consumer confidence in Portugal," Journal of Economic Psychology, Elsevier, vol. 32(1), pages 25-32, February.
    6. Dion, David Pascal, 2006. "Does Consumer Confidence Forecast Household Spending? The Euro Area Case," MPRA Paper 911, University Library of Munich, Germany.

    More about this item

    Keywords

    Consumer confidence; consumption function; forecasting;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:902. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.