Africa > Uganda

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Felix F. Simione
and
Tara S Muehlschlegel
Will mobile money render cash less dominant over time in Africa? Can it promote financial inclusion? We shed light on these questions by exploring individual-level and nationally representative survey data for Uganda, a country in a region that pioneered mobile money in the world. We use the Propensity Score Matching method to robustly compare mobile money users and non-users across a range of indicators that capture individuals’ perceptions about cash, and the extent to which they remit, save, and borrow money. We present the first evidence that mobile money users, compared to non-users, are more likely to perceive cash as risky and less likely to prefer carrying large amounts of cash. We also confirm that mobile money users are more likely to receive and send remittances, save, and borrow. They also save and borrow larger amounts.
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.
International Monetary Fund. African Dept.

Abstract

Sub-Saharan Africa is facing an unprecedented health and economic crisis that threatens to throw the region off its stride, reversing the encouraging development progress of recent years. Furthermore, by exacting a heavy human toll, upending livelihoods, and damaging business and government balance sheets, the crisis threatens to retard the region’s growth prospects in the years to come. Previous crises tended to impact affect countries in the region differentially, but no country will be spared this time.

International Monetary Fund. African Dept.

Abstract

To come when report is received.

The Spring-Summer 2019 issue of the IMF Research Perspectives explores how technology deals with old questions. Articles discuss the ways technological progress and the increased availability of data have helped in some areas, while presenting new challenges for analyzing various matters. The issue also includes an interview with Gita Gopinath, the new director of the IMF Research Department.
Ms. Monique Newiak
and
Tim Willems
We use the Synthetic Control Method to study the effect of IMF advice on economic growth, inflation, and investment. The analysis exploits the existence of IMF programs that do not involve any financing (Policy Support Instruments, “PSIs”). This enables us to focus on the effects of IMF monitoring, advice, and approval (as opposed to direct financial assistance). In addition, countries with non-financial programs are typically not crisis-struck – thereby mitigating the reverse causality problem and facilitating the construction of counterfactuals. Results suggest that treated countries add about 1 percentage point in annual real GDP per capita growth, with inflation being lower by some 3 percentage points per year. While we do not find evidence for an impact on total investment and the resulting capital stock, PSI-treatment does seem to stimulate foreign direct investment.