IDEAS home Printed from
   My bibliography  Save this article

Alternative Methods Of Estimating Output Gap For Turkey


  • Saraçoğlu, Bedriye

    (Gazi University)

  • Yiğit, Özlem

    (Turkey Statistical Institute)

  • Koçak, Necmettin Alpay

    (Turkey Statistical Institute)


Output gap is defined as the difference between the potential output and actual output. There are several approaches used in the literature to estimate output gap. With this study it is aimed to obtain alternative output gap estimations for Turkish Economy, considering the constraints of approaches that are used in the literature. With this aim, output gap is estimated using two methods such as (1) Structural VAR (Sutructural Vector Autoregressive Model-SVAR) approach proposed in Blanchard and Quah (1989), and (2) Modified Hodrick Prescott Filter based on ARIMA model proposed in Kaiser ve Maravall (2005). These methods are compared to the most frequently used HP filter method in the literature. The output gap estimations are compared in terms of their actual inflation prediction power considering that output gap estimation is an essential input in structuring price stability policy. As a result it can be asserted that output gap estimated by SVAR method produces more successful results in predicting actual inflation.

Suggested Citation

  • Saraçoğlu, Bedriye & Yiğit, Özlem & Koçak, Necmettin Alpay, 2014. "Alternative Methods Of Estimating Output Gap For Turkey," Business and Economics Research Journal, Uludag University, Faculty of Economics and Administrative Sciences, vol. 5(3), pages 43-65, July.
  • Handle: RePEc:ris:buecrj:0157

    Download full text from publisher

    File URL:
    File Function: Full text
    Download Restriction: no

    More about this item


    Output gap; Phillips curve; inflation forecast; modified HP filter; SVAR;
    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
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles


    Access and download statistics


    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:ris:buecrj:0157. 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: Adem Anbar (email available below). General contact details of provider: .

    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.