مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

282
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

Forecasting Iran's Economy Inflation with DSGE-VAR Model (Theory and Technique)

Pages

  149-176

Abstract

Inflation is one of the key macroeconomic variables that its precise Forecasting is the goal of policy makers and in particular the central bank. VAR model has a long history as a tool for Forecasting and policy analysis; but the problem with this method is that it uses a little theoretical information about the relationships between variables. In addition, in VAR models, many parameters need to be estimated, some of them may be meaningless. Following this, the idea of hybrid models was introduced. One of the hybrid models is the DSGE-VAR model. This model combines DSGE, which is a structural model and more reliant on theory, with a VAR that provides better fitting data. In this study at the beginning, the theoretical structure and results of the estimation of the DSGE-VAR model for Iran's Economic Data are presented. Further, the Forecasting of this method are compared with other models such as unrestricted VAR and Minnesota VAR. All three models are estimated recursively from the period 1991: 1 to 2012: 4 and then used to forecast Inflation for one to eight-quarters-ahead over an out-of sample from 2011: 1 to 2015: 4. Comparison of the accuracy of Forecasting of the above methods using the RMSE index shows a better performance of the DSGE-VAR approach compared to other models.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    AGHAYAN, BEHNOOSH SADAT, BAHRAMI, JAVID, & JAHANGARD, ESFANDIAR. (2018). Forecasting Iran's Economy Inflation with DSGE-VAR Model (Theory and Technique). JOURNAL OF APPLIED THEORIES OF ECONOMICS, 5(2 ), 149-176. SID. https://sid.ir/paper/392407/en

    Vancouver: Copy

    AGHAYAN BEHNOOSH SADAT, BAHRAMI JAVID, JAHANGARD ESFANDIAR. Forecasting Iran's Economy Inflation with DSGE-VAR Model (Theory and Technique). JOURNAL OF APPLIED THEORIES OF ECONOMICS[Internet]. 2018;5(2 ):149-176. Available from: https://sid.ir/paper/392407/en

    IEEE: Copy

    BEHNOOSH SADAT AGHAYAN, JAVID BAHRAMI, and ESFANDIAR JAHANGARD, “Forecasting Iran's Economy Inflation with DSGE-VAR Model (Theory and Technique),” JOURNAL OF APPLIED THEORIES OF ECONOMICS, vol. 5, no. 2 , pp. 149–176, 2018, [Online]. Available: https://sid.ir/paper/392407/en

    Related Journal Papers

  • No record.
  • Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button