IDEAS home Printed from https://ideas.repec.org/a/iif/iifjrn/v25y2010i293p9-31.html
   My bibliography  Save this article

An analysis of two leading indicators of economic growth in Turkey: Monthly manufacturing industry output and CNBC-e consumption indices

Author

Listed:
  • Erhan ASLANOĞLU

    (Marmara Üniversitesi)

  • Sadullah ÇELİK

    (Marmara Üniversitesi)

Abstract

This study aims to test the predictive power of two monthly indicators for economic growth in Turkish economy for the recent period. The indicators to be tested are CNBC-e Consumption Index and Manufacturing Industry Output Index. CNBC-e Consumption Index can be expected to be the early indicator of consumption expenditures in Turkey which is composing more than 70 percent of total expenditures for this country. On the other hand, manufacturing industry is like a core of the total output, making up almost a quarter of total value added in Turkey. Hence, manufacturing output can be expected to be highly correlated with GDP. This paper will test how reliable these two indicators are in their early predictions of the rate of economic growth. Our findings imply that both indexes can significantly predict the economic growth in Turkey.

Suggested Citation

  • Erhan ASLANOĞLU & Sadullah ÇELİK, 2010. "An analysis of two leading indicators of economic growth in Turkey: Monthly manufacturing industry output and CNBC-e consumption indices," Iktisat Isletme ve Finans, Bilgesel Yayincilik, vol. 25(293), pages 9-31.
  • Handle: RePEc:iif:iifjrn:v:25:y:2010:i:293:p:9-31
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Keywords

    CNBC-e Consumption Index; Manufacturing Industry Production Index; Gross Domestic Product; Cointegration.;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth

    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:iif:iifjrn:v:25:y:2010:i:293:p:9-31. 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: Ali Bilge (email available below). General contact details of provider: http://iif.com.tr .

    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.