Africa > Uganda

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Miyoko Asai
,
Qiaoe Chen
,
Mr. Jiro Honda
,
Xingwei Hu
, and
Qianqian Zhang
This paper examines the role of structural fiscal policies to promote female labor force participation and reduce gender gaps in labor markets in 26 OECD countries from 2000 to 2019. As both female labor force participation and many explanatory/control variables clearly exhibit non-stationarity (potentially leading to spurious regression results), we employ a panel vector error-correction model, in contrast with most previous empirical studies on this matter. Our analyses confirm statistically significant positive impacts of government spending on (1) early childcare and education, (2) active labor market programs, and (3) unemployment benefits, all of which would help encourage women to enter the labor force, while (4) an increase in relative tax rate on second earner could have negative impact on female labor force participation.
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relationship estimated from countries where data are available, to estimate quarterly GDP statistics for countries that do not publish such statistics by leveraging the indicators readily available for many countries.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.
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.
International Monetary Fund. Statistics Dept.
This Technical Assistance Mission has been undertaken to support the Bank of South Sudan (BSS) in improving external sector statistics (ESS). The recommendations made during the 2018 mission for the recording of oil exports and transactions with Sudan under the Transitional Financial Agreement were implemented by the BSS. The mission worked toward enhancing the inter-agency cooperation by meeting with selected public sector bodies, providing them with an overview of the balance of payments and the data that the BSS will request from them. Before the end of the mission, requested data from one of the entities, the Civil Aviation Authority was provided. A work program was developed to conduct a visitor expenditure survey and a preliminary International Reserves and Foreign Currency Liquidity template was submitted to IMF’s Statistics Department for review. In order to support progress in the various work areas, the mission recommended a detailed one-year action plan, with the several priority recommendations carrying weight to make headway in improving ESS reliability.
International Monetary Fund. Statistics Dept.