IDEAS home Printed from https://ideas.repec.org/a/mnb/bullet/v5y2010i1p6-19.html
   My bibliography  Save this article

Household consumption expenditures and the consumer confidence index

Author

Listed:
  • Katalin Bodnár

    (Magyar Nemzeti Bank (central bank of Hungary))

Abstract

Household consumption constitutes two thirds of GDP in Hungary. Accordingly, in addition to influencing expected economic growth, consumption plays a prominent role in shaping pricing behaviour. Consequently, understanding and forecasting the consumption processes as precisely as possible can be of key importance to the operations of the central bank. The consumer confidence index, which has the earliest release date of all indicators measuring the consumption behaviour of households, may help achieve this goal. In this article, I examine what the confidence index measures, what makes it closely related to developments in consumption, and to what extent it can be used in forecasting those developments. It is found that the confidence index is reasonably good at explaining variables such as household income, the economic situation of the country, unemployment and developments in inflation, but that it tends to track these variables, rather than forecast them. However, questions related to these variables are incapable of fully grasping consumption decisions. Use of composite indicators derived from the questions with the best explanatory power may contribute to the explanation of certain subindicators, but even this fails to significantly improve the precision of short-term forecasts. In addition to the current economic situation, the index also reflects the effect of political cycles.

Suggested Citation

  • Katalin Bodnár, 2010. "Household consumption expenditures and the consumer confidence index," MNB Bulletin (discontinued), Magyar Nemzeti Bank (Central Bank of Hungary), vol. 5(1), pages 6-19, March.
  • Handle: RePEc:mnb:bullet:v:5:y:2010:i:1:p:6-19
    as

    Download full text from publisher

    File URL: http://www.mnb.hu/letoltes/bodnar-en.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Marija Kuzmanovic & Peter Sanfey, 2013. "Can Consumer Confidence Data Predict Real Variables? Evidence from Croatia," Croatian Economic Survey, The Institute of Economics, Zagreb, vol. 15(1), pages 5-24, April.
    2. Marija Kuzmanovic & Peter Sanfey, 2012. "Can consumer confidence data predict real variables? Evidence from Croatia," Working Papers 151, European Bank for Reconstruction and Development, Office of the Chief Economist.

    More about this item

    Keywords

    consumption; forecasting; consumer confidence indicator.;
    All these keywords.

    JEL classification:

    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications

    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:mnb:bullet:v:5:y:2010:i:1:p:6-19. 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: Maja Bajcsy (email available below). General contact details of provider: https://edirc.repec.org/data/mnbgvhu.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.