IDEAS home Printed from https://ideas.repec.org/a/eut/journl/v24y2020i1p267.html
   My bibliography  Save this article

Agricultural Economic Dynamics in a Bayesian DSGE Model for Iran

Author

Listed:
  • Mahdi Khosravi

    (Department of Agricultural Economics, Shahid Bahonar University of Kerman, Kerman, Iran.)

  • Hossein Mehrabi Boshrabadi

    (Department of Agricultural Economics, Shahid Bahonar University of Kerman, Kerman, Iran.)

Abstract

Iran’s economy is suffering from sharp and persistent economic shocks and agriculture plays an undeniable role in its economic growth and development. The aim of this paper is to study the relative contributions of various macroeconomic shocks to generating fluctuations in Iran’s agriculture sector. To do so, a Dynamic Stochastic General Equilibrium (DSGE) model, emphasizing on the agricultural sector, is developed. The model is estimated with Bayesian techniques using 9 macroeconomic variables. The findings indicate that agricultural productivity shock is the main driver of the economic fluctuations in the sector. Monetary shock and, to a lesser extent, government spending, preference and labor supply shocks, however, play an important role in agricultural dynamics. The two other shocks considered (oil revenue and money demand) are of less importance relatively. The historical decomposition shows after 2009, when imposed economic sanctions against Iran increase, the monetary shock becomes one of the main sources in explaining agricultural fluctuations. The results further confirm the symptoms of Dutch Disease (DD) in Iran’s agriculture.

Suggested Citation

  • Mahdi Khosravi & Hossein Mehrabi Boshrabadi, 2020. "Agricultural Economic Dynamics in a Bayesian DSGE Model for Iran," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 24(1), pages 267-297, Winter.
  • Handle: RePEc:eut:journl:v:24:y:2020:i:1:p:267
    as

    Download full text from publisher

    File URL: ftp://80.66.179.253/eut/journl/20201-11.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Nakhli, Seyyed Reza & Rafat, Monireh & Dastjerdi, Rasul Bakhshi & Rafei, Meysam, 2021. "Oil sanctions and their transmission channels in the Iranian economy: A DSGE model," Resources Policy, Elsevier, vol. 70(C).
    2. Nestor Shpak & Ihor Kulyniak & Maryana Gvozd & Jolita Vveinhardt & Natalia Horbal, 2021. "Formulation of Development Strategies for Regional Agricultural Resource Potential: The Ukrainian Case," Resources, MDPI, vol. 10(6), pages 1-30, June.

    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:eut:journl:v:24:y:2020:i:1:p:267. 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: [z.rahimalipour] (email available below). General contact details of provider: https://edirc.repec.org/data/fecutir.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.