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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.
This Selected Issues paper analyzes Kenya’s success in boosting financial inclusion. Kenya has become a regional and global leader in mobilizing new technologies to advance financial inclusion, poverty reduction, and growth. The rapid progress of financial inclusion in Kenya has been a result of a friendly environment for the absorption of information technology, dynamic local banks, and open and stable regulations. Advances in financial inclusion over the past 10 years have allowed Kenyans to reap many of the benefits of financial access at a much faster pace than the typical cycle of financial deepening in low- and middle-income countries. Mobile financial services have lowered the transaction cost of remittances, allowing Kenyan households to smooth consumption in the face of shocks and significantly reducing poverty.