IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this article

Inflation Targeting and Nominal GDP Targeting in Monetary Rules for Iran Economy

Listed author(s):
  • Bayat, Neda

    ()

    (Ph.D. Candidate in Economics, Allameh Tabatabai University)

  • Bahrami, Javid

    ()

    (Assistant Professor of Economics, Allameh Tabatabai University)

  • Mohammadi, Teymour

    ()

    (Associate Professor of Economics, Allameh Tabatabai University)

Registered author(s):

    At present, conducting monetary policies to achieve the central bank's goals is an important problem among policymakers. However most of central banks have used inflation targeting regime, there is a challenging discussion that it should be replaced with nominal GDP targeting. This paper simulates two alternative monetary policy rules, Taylor rule and money growth rate rule, in new Keynesian stochastic dynamic general equilibrium models for Iran economy (1988–2014). Further, it compares the monetary policy regimes: inflation targeting and nominal GDP targeting for each rule. However, neither of these rules has been applied to Iran monetary policy yet, the parameters of the rules are determined in which the moments of simulations approximately equal to the moments of real economy. Analyzing the moments of simulated parameters and comparing them with the real world’s data demonstrate that the presented models are properly matched with both theoretical principles and Iran economy. The results show that interest rate is proper than the money growth rate for affecting the economic real sector variables. Also, in case of applying Taylor rule for monetary policy, NGDP targeting creates more stability on these variables and Inflation targeting creates more stability on inflation.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL: http://ecoj.tabrizu.ac.ir/article_6102_d21328dce616a5f477e2da6212ea0def.pdf
    File Function: Full text
    Download Restriction: no

    Article provided by Faculty of Economics, Management and Business, University of Tabriz in its journal Quarterly Journal of Applied Theories of Economics.

    Volume (Year): 4 (2017)
    Issue (Month): 1 (May)
    Pages: 29-58

    as
    in new window

    Handle: RePEc:ris:qjatoe:0065
    Contact details of provider: Web page: http://www.ecoj.tabrizu.ac.ir/

    More information through EDIRC

    No references listed on IDEAS
    You can help add them by filling out this form.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:ris:qjatoe:0065. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sakineh Sojoodi)

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

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

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.