Training Program Course

Model-Based Monetary Policy Analysis and Forecasting (MPAF)

This course provides rigorous training on the use of simple Dynamic New Keynesian (DNK) models to conduct monetary policy analysis and forecasting. It emphasizes the analysis of monetary policy responses to macroeconomic imbalances and shocks. Participants are provided with the tools necessary to develop or extend the canonical model to fit their own monetary policy framework and selected features of their country's economy. Country case studies are used to reinforce participants' understanding and to help them compare and assess a variety of possible experiences.
Target Audience
Mid-level to senior officials responsible for monetary policy decision making and staff doing macroeconomic analysis and forecasting or operating macroeconomic models.
Qualifications
Participants are expected to have an advanced degree in economics or equivalent experience. Participants are expected to be comfortable using quantitative software such as Matlab/Octave, although specific knowledge of these is not required.
Course Objectives
Upon completion of this course, participants should be able to:
Customize a simple model of an economy that embodies the monetary policy transmission mechanism and the shocks this economy may face.
Acquire and apply tools used in modern central banks to conduct monetary policy analysis and forecasting using small semi-structural models.
Use the small semi-structural model to develop consistent medium-term projections for key macro variables, e.g., output, inflation, interest rate, and exchange rate.
Identify risks to the baseline forecast and build alternative scenarios that assume certain risks may materialize.
Start building a simple model for monetary policy analysis and forecasting using their own country data when they return home.
Syllabus
Upcoming Offering
| Start date | End date | Location | Delivery Method | Session No. | Primary & (Interpretation) language | Apply |
|---|---|---|---|---|---|---|
| December 8, 2025 | December 19, 2025 | Singapore, Singapore | Blended Training | ST 25.33 | English | Deadline passed |
| March 9, 2026 | March 20, 2026 | Shenzhen, China | In-person Training | CT 26.02 | English | Apply online by January 4, 2026 |
| November 2, 2026 | November 13, 2026 | Vienna, Austria | Blended Training | JV 26.35 | English | Apply online by July 26, 2026 |


