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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.
Ms. Grace B Li
,
Mr. Stephen A. O'Connell
,
Mr. Christopher S Adam
,
Mr. Andrew Berg
, and
Mr. Peter J Montiel
VAR methods suggest that the monetary transmission mechanism may be weak and unreliable in low-income countries (LICs). But are structural VARs identified via short-run restrictions capable of detecting a transmission mechanism when one exists, under research conditions typical of these countries? Using small DSGEs as data-generating processes, we assess the impact on VAR-based inference of short data samples, measurement error, high-frequency supply shocks, and other features of the LIC environment. The impact of these features on finite-sample bias appears to be relatively modest when identification is valid—a strong caveat, especially in LICs. However, many of these features undermine the precision of estimated impulse responses to monetary policy shocks, and cumulatively they suggest that “insignificant” results can be expected even when the underlying transmission mechanism is strong.
Mr. Paulo Drummond
,
Mr. S. K Wajid
, and
Mr. Oral Williams

Abstract

The countries in the East African Community (EAC) are among the fastest growing economies in sub-Saharan Africa. The EAC countries are making significant progress toward financial integration, including harmonization of supervisory arrangements and practices and the modernization of monetary policy frameworks. This book focuses on regional integration in the EAC and argues that the establishment of a time table for the eliminating the sensitive-products list and establishing a supranational legal framework for resolving trade disputes are important reforms that should foster regional integration.

Mr. Hamid R Davoodi
,
S. V. S. Dixit
, and
Gabor Pinter
Do changes in monetary policy affect inflation and output in the East African Community (EAC)? We find that (i) Monetary Transmission Mechanism (MTM) tends to be generally weak when using standard statistical inferences, but somewhat strong when using non-standard inference methods; (ii) when MTM is present, the precise transmission channels and their importance differ across countries; and (iii) reserve money and the policy rate, two frequently used instruments of monetary policy, sometimes move in directions that exert offsetting expansionary and contractionary effects on inflation—posing challenges to harmonization of monetary policies across the EAC and transition to a future East African Monetary Union. The paper offers some suggestions for strengthening the MTM in the EAC.