TARGET GROUP | Mid-level to senior officials responsible for monetary policy decision making and staff doing macroeconomic analysis and forecasting or operating macroeconomic models.
Participants are expected to have an advanced degree in economics or equivalent experience. It is strongly recommended that applicants have completed the Monetary Policy (MP) course or the online Monetary Policy Analysis and Forecasting (MPAFx) course. Participants are expected to be comfortable using quantitative software such as EViews and Matlab/Octave, although specific knowledge of these is not required.
BLENDED COURSE REQUIREMENTS | The course will run in a blended format, consisting of two compulsory parts. Selected participants will first complete on their own time three mandatory short online learning segments during October 2-13, 2023. In-person portion of the course will be held at JVI in Vienna during October 23 – November 3, 2023. Completing both the online and in-person parts of the course will be required for successful completion of the course in order to receive the course certificate.
DESCRIPTION | This course, presented by the IMF’s Institute for Capacity Development, provides rigorous training on the use of simple Dynamic New Keynesian (DNK) models to conduct monetary policy analysis and forecasting. It emphasizes 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 participant understanding and to help them compare and assess a variety of possible experiences.
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 the small semi-structural model.
• Conduct nowcasting and near-term forecasting using estimation-based econometric techniques supported by expert judgment.
• Use the small semi-structural model to develop consistent medium-term quarterly projections of key macro variables e.g. output, inflation, interest rate, and exchange rate.
• Identify risks in the baseline forecast and draw up medium-term projections for alternative scenarios that assume that the risks materialize.
• Start building a simple model for monetary policy analysis using their own national data when they return home.