Macroeconomic Management

Background The continuously evolving policy landscape provides a challenge for macroeconomic management and stability in developing and emerging countries. This changing environment makes it difficult to effectively conduct sound monetary policy and therefore requires, among others, skills to make informed choices of monetary policy frameworks and instruments that address emerging issues and support macroeconomic stability.

Background Machine learning (ML) techniques are increasingly being explored for macroeconomic forecasting and nowcasting, offering enhanced predictive accuracy, flexibility in model design, and the ability to handle large datasets. Algorithms such as Random Forests, Artificial Neural Networks (ANNs), and Long Short-Term Memory (LSTM) networks have demonstrated superior performance in capturing complex nonlinear patterns in high-frequency

Background During the Phase VI period (2022–2026), MEFMI prioritised compilation of high frequency data to assist in economic modelling and forecasting, especially in crisis periods. High-frequency data paints a more detailed picture of the economic impact of the pandemic and breadth of the recovery. Seasonal adjustment serves to facilitate an understanding of the development of

Background Evidence-based economic policy remains at the helm of the agenda of most developing countries and the MEFMI region is no exception. To support this agenda, there is a need for consistent, accurate, comprehensive macroeconomic data supported by a proper System of National Accounts, Balance of Payments and International Investment Position Manual, and the Government

Background The rapid growth of financial technology (fintech) across Africa is transforming the financial sector, offering innovative alternatives to traditional financial services. Fintech platforms are enhancing financial inclusion, lowering transaction costs, and expanding access to credit. These developments have the potential to reshape key macroeconomic relationships, including the effectiveness and transmission mechanisms of monetary policy.

Background There is a need for reliable data to support planning, budgeting, and evaluation of activities essential for prudent economic management. To be useful, such data must be accurate, timely, disaggregated, and widely accessible. Robust statistical systems that support policy development and enhance accountability enable stakeholders to freely exchange high-quality data, ensuring that funding and