IDEAS home Printed from https://ideas.repec.org/p/imf/imfwpa/2022-118.html
   My bibliography  Save this paper

The Ararat Fiscal Strategy Model: A Structural Framework for Fiscal Policy Analysis in Armenia

Author

Listed:
  • Victoria Babajanyan
  • Daniel Baksa
  • Mr. Martin Fukac
  • Eduard Hakobyan
  • Arshaluys Harutyunyan
  • Narek Karapetyan
  • Babken Pashinyan
  • Garik Petrosyan
  • Luis-Felipe Zanna

Abstract

This paper presents an overview of the Ararat Fiscal Strategy Model (AFSM), which is a structural, New-Keynesian, DSGE, small open economy model with a rich fiscal block that includes several expenditure and revenue instruments, and types of debt. The AFSM is now a formal part of the Ministry of Finance analytical toolkit to do macroeconomic fiscal policy scenario analysis, which feeds into policy discussions, budget planning, and the Medium-Term Expenditure Framework. The model was applied to assses the macroeconomic impact of the “first wave” of the Covid-19 pandemic on the Armenian economy, including the mitigating effects of policy responses. AFSM simulations revealed a potential severe impact in 2020, with declines in GDP and consumption of 12.9 and 11.7 percent, respectively, and a cumulative loss of GDP of 38 percent for the period 2020-2023. They also highlighted a significant fiscal outlook deterioration that would increase public debt-to-GDP ratios by 18.8 percentage points over 2020-23. The package of counter-cyclical fiscal measures of 3.6 percent of GDP, however, was estimated to cushion the 2020 GDP decline by almost 2 percentage points, as well as protect jobs. A second AFSM application related to the 2018 public investment under-execution showed the importance of improving the efficiency of public investment to have positive macroeconomic and fiscal effects.

Suggested Citation

  • Victoria Babajanyan & Daniel Baksa & Mr. Martin Fukac & Eduard Hakobyan & Arshaluys Harutyunyan & Narek Karapetyan & Babken Pashinyan & Garik Petrosyan & Luis-Felipe Zanna, 2022. "The Ararat Fiscal Strategy Model: A Structural Framework for Fiscal Policy Analysis in Armenia," IMF Working Papers 2022/118, International Monetary Fund.
  • Handle: RePEc:imf:imfwpa:2022/118
    as

    Download full text from publisher

    File URL: http://www.imf.org/external/pubs/cat/longres.aspx?sk=519522
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Anton I. Votinov & Victoria A. Gribova & Samvel S. Lazaryan, 2023. "Analysis of the Transmission Mechanism of Public Investments: The Case of the DSGE Model," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 5, pages 8-26, October.

    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:imf:imfwpa:2022/118. 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: Akshay Modi (email available below). General contact details of provider: https://edirc.repec.org/data/imfffus.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.