Course Overview

This advanced program equips central bank economists, macro‑modelers, and policy analysts with the tools to build, use, and interpret model‑based frameworks for monetary policy analysis and forecasting. It reflects the methodologies used by the World Bank, IMF, and leading central banks.

The course covers semi‑structural models, gap models, DSGE frameworks, time‑series forecasting, and scenario‑based policy simulations, enabling participants to support evidence‑based monetary policy decisions.

2. Learning Objectives

Participants will be able to:

• Understand the theoretical foundations of model‑based monetary policy.

• Build and calibrate semi‑structural and structural macroeconomic models.

• Use forecasting tools to project inflation, output, interest rates, and exchange rates.

• Conduct scenario analysis and policy simulations.

• Integrate model outputs into monetary policy decision‑making.

• Apply World Bank and IMF frameworks for macro‑financial forecasting.

• Produce model‑based policy briefs and forecasting reports.

3. Target Audience

• Central bank research and monetary‑policy departments

• Macroeconomic modelling and forecasting units

• Ministry of Finance macro‑fiscal teams

• Financial‑sector regulators

• World Bank–funded macro‑economic reform teams

• Academic researchers and policy consultants

4. Detailed Course Outline

Module 1: Foundations of Model‑Based Monetary Policy

• Role of models in modern monetary policy

• World Bank and IMF approaches to macro‑modelling

• Inflation targeting and policy frameworks

• Transmission mechanisms of monetary policy

• Case studies from emerging and developing economies

Module 2: Semi‑Structural Models for Policy Analysis

• Output gap, inflation gap, and interest‑rate gap models

• Phillips Curve and IS Curve frameworks

• Monetary policy reaction functions (Taylor‑type rules)

• Calibration and estimation techniques

• Using semi‑structural models for short‑term forecasting

Module 3: Structural Models & DSGE Frameworks

• Introduction to Dynamic Stochastic General Equilibrium (DSGE) models

• Micro‑foundations of consumption, investment, and price setting

• Shocks: supply, demand, monetary, external

• Model calibration vs. Bayesian estimation

• Policy simulations using DSGE models

Module 4: Time‑Series Models for Forecasting

• ARIMA, VAR, BVAR, and VECM models

• Forecasting inflation, GDP, interest rates, and exchange rates

• Nowcasting techniques and high‑frequency indicators

• Model evaluation and forecast accuracy

• Combining model‑based and judgment‑based forecasts

Module 5: Monetary Policy Transmission & Shock Analysis

• Interest‑rate, credit, exchange‑rate, and expectations channels

• Domestic vs. external shocks

• Scenario analysis and stress testing

• Policy trade‑offs in open economies

• Interpreting model‑based impulse‑response functions

Module 6: Forecasting Systems & Policy Analysis Tools

• Building integrated forecasting and policy analysis systems (FPAS)

• Data management and model integration

• Forecast rounds and policy cycles

• Communicating model results to policymakers

• World Bank and IMF FPAS case studies

Module 7: Exchange Rate Dynamics & External Sector Modelling

• Exchange‑rate pass‑through

• Balance of payments forecasting

• External shocks: commodity prices, global interest rates

• Modelling capital flows and risk premiums

• Policy implications for small open economies

Module 8: Monetary Policy Design & Evaluation

• Optimal policy rules vs. discretionary policy

• Inflation‑forecast targeting

• Policy consistency and credibility

• Evaluating alternative policy paths

• Designing model‑based policy recommendations

Module 9: MPAF in World Bank & IMF Programs

• Use of models in Article IV consultations

• World Bank macro‑financial diagnostics

• Forecasting in Development Policy Operations (DPOs)

• Integrating MPAF into macro‑fiscal frameworks

• Lessons from global reform programs

Module 10: Practical Exercises & Capstone Project

• Building a semi‑structural model using sample data

• Estimating a VAR/BVAR for inflation and output

• Conducting a monetary‑policy shock simulation

• Preparing a model‑based forecast round

• Capstone: Develop a Model‑Based Monetary Policy & Forecasting Framework for a simulated central bank

5. Training Methodology

• Expert‑led lectures and guided discussions

• Hands‑on modelling and forecasting exercises

• Case studies from World Bank, IMF, and central banks

• Group work and scenario‑based simulations

• Practical sessions using Excel, EViews, R, or Python

• Capstone project with peer and instructor feedback

6. Deliverables & Outputs

Participants will receive:

• A Model‑Based Monetary Policy Toolkit (frameworks, templates, datasets)

• Semi‑structural and DSGE model templates

• Forecasting and scenario‑analysis tools

• Capstone project report and presentation

• Certificate of Completion from Regewall Training Institute