Africa > Uganda

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International Monetary Fund
and
World Bank
The outlook for Low-Income Countries (LICs) is gradually improving, but they face persistent macroeconomic vulnerabilities, including liquidity challenges due to high debt service. There is significant heterogeneity among LICs: the poorest and most fragile countries have faced deep scarring from the pandemic, while those with diversified economies and Frontier Markets are faring better. Achieving inclusive growth and building resilience are essential for LICs to converge with more advanced economies and meet the Sustainable Development Goals (SDGs). Building resilience will also be critical in the context of a more shock-prone world. This requires both decisive domestic actions, including expanding and better targeting Social Safety Nets (SSNs), and substantial external support, including adequate financing, policy advice, capacity development and, where needed, debt relief. The Fund is further stepping up its support through targeted policy advice, capacity building, and financing.
Omer Faruk Akbal
,
Mr. Seung M Choi
,
Mr. Futoshi Narita
, and
Jiaxiong Yao
Quarterly GDP statistics facilitate timely economic assessment, but the availability of such data are limited for more than 60 developing economies, including about 20 countries in sub-Saharan Africa as well as more than two-thirds of fragile and conflict-affected states. To address this limited data availablity, this paper proposes a panel approach that utilizes a statistical relationship estimated from countries where data are available, to estimate quarterly GDP statistics for countries that do not publish such statistics by leveraging the indicators readily available for many countries. This framework demonstrates potential, especially when applied for similar country groups, and could provide valuable real-time insights into economic conditions supported by empirical evidence.
International Monetary Fund. Monetary and Capital Markets Department
This paper reports to the Executive Board on the outcomes of the Central Bank Transparency Code (CBT) pilot reviews. The pilot CBT reviews helped central banks evaluate their transparency practices and strengthen dialogue with external stakeholders. The CBT pilots provided valuable information on the resources required for the reviews going forward. Staff will continue to offer CBT reviews to the rest of the membership. The staff will report back to the Board in FY2026 on the progress of the CBT reviews and an update to the Code following five years of implementation.
Brandon Buell
,
Reda Cherif
,
Carissa Chen
,
Jiawen Tang
, and
Nils Wendt
The COVID-19 pandemic underscores the critical need for detailed, timely information on its evolving economic impacts, particularly for Sub-Saharan Africa (SSA) where data availability and lack of generalizable nowcasting methodologies limit efforts for coordinated policy responses. This paper presents a suite of high frequency and granular country-level indicator tools that can be used to nowcast GDP and track changes in economic activity for countries in SSA. We make two main contributions: (1) demonstration of the predictive power of alternative data variables such as Google search trends and mobile payments, and (2) implementation of two types of modelling methodologies, machine learning and parametric factor models, that have flexibility to incorporate mixed-frequency data variables. We present nowcast results for 2019Q4 and 2020Q1 GDP for Kenya, Nigeria, South Africa, Uganda, and Ghana, and argue that our factor model methodology can be generalized to nowcast and forecast GDP for other SSA countries with limited data availability and shorter timeframes.
I develop a model of firm-to-firm search and matching to show that the impact of falling trade costs on firm sourcing decisions and consumer welfare depends on the relative size of search externalities in domestic and international markets. These externalities can be positive if firms share information about potential matches, or negative if the market is congested. Using unique firm-to-firm transaction-level data from Uganda, I document empirical evidence consistent with positive externalities in international markets and negative externalities in domestic markets. I then build a dynamic quantitative version of the model and show that, in Uganda, a 25% reduction in trade costs led to a 3.7% increase in consumer welfare, 12% of which was due to search externalities.