Solving the Canonical Quarterly Projection Model Using EViews
Sam Ouliaris and
Celine Rochon
No 2026/003, IMF Technical Notes and Manuals from International Monetary Fund
Abstract:
The Quarterly Projection Model (QPM) is one of the IMF’s standard frameworks for monetary policy analysis and forms a core component of a forward‑looking Forecasting and Policy Analysis System (FPAS). Traditionally, the QPM is solved using simulation tools available in MATLAB. This technical note demonstrates how the canonical QPM can instead be implemented using the EViews econometric package, with the aim of reducing the technical barriers to applying the model in practice. The note is intended for policy analysts and economists who wish to adapt the QPM to country‑specific settings without requiring advanced proficiency in the EViews programming language. The approach is illustrated using a notional “Country Z,” but the methodology can be readily adapted to real‑world country applications. Users need only to assemble the required data and make targeted modifications to existing EViews code, such as selecting the appropriate exchange‑rate regime equations and calibrating key model constants. In addition to solving the QPM for its baseline projection, the technical note shows how to construct and analyze alternative scenarios. These scenarios may involve multiple exogenous shocks and constraints on selected endogenous variables, enabling users to assess the dynamic response of the economy and the speed and path of its return to the baseline.
Keywords: forecasting; monetary policy analysis; quarterly projection model; time series analysis; real exchange rates (search for similar items in EconPapers)
Pages: 67
Date: 2026-04-06
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.imf.org/external/pubs/cat/longres.aspx?sk=573519 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:imf:imftnm:2026/003
Ordering information: This working paper can be ordered from
http://www.imf.org/external/pubs/pubs/ord_info.htm
Access Statistics for this paper
More papers in IMF Technical Notes and Manuals from International Monetary Fund International Monetary Fund, Washington, DC USA. Contact information at EDIRC.
Bibliographic data for series maintained by Akshay Modi ().