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Africa > Uganda

You are looking at 1 - 10 of 76 items for :

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Cover IMF Staff Country Reports
Uganda: Staff Report for the 2024 Article IV Consultation—Informational Annex
International Monetary Fund. African Dept.

UGANDA
Keywords:
Rebasing construction price indices; oil resource; market Risk regulation; balance sheet account statistics; SDR million; Government finance statistics; Anti-money laundering and combating the financing of terrorism (AML/CFT); Exchange rate arrangements; Export fluctuations
Cover IMF Staff Country Reports
Uganda: Staff Report for the 2021 Article IV Consultation and First Review Under the Extended Credit Facility Arrangement and Request for Modification of Performance Criteria—Informational Annex
International Monetary Fund. African Dept.

The authorities have reacted to the COVID-19 crisis in an appropriate manner, including through increased spending on health and a rollout of the vaccination program. Nevertheless, the deterioration of socio-economic indicators during the pandemic could create scars that would significantly lower growth if left unaddressed.

Keywords:
government portfolio liability; balance of payments flow; government loan liability; rates of treasury bills; positions vis-à-vis nonresident; Government finance statistics; Producer price indexes; Exchange rate arrangements; Consumer price indexes; External sector statistics
Cover IMF Working Papers
Front Matter
Brandon Buell
,
Reda Cherif
,
Carissa Chen
,
Jiawen Tang
, and
Nils Wendt
Keywords:
model prediction; table of table; Kenya GDP; Google search trend; Google trend search term; Factor models; Time series analysis; Machine learning; Africa
Cover IMF Working Papers
Impact of COVID-19: Nowcasting and Big Data to Track Economic Activity in Sub-Saharan Africa
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.
Keywords:
model prediction; quantile plot; ML model; GDP YoY; data variable; YoY percent change; Factor models; Machine learning; Time series analysis; Spot exchange rates; Mobile banking; Africa; Sub-Saharan Africa
Cover IMF Working Papers
Impact of COVID-19: Nowcasting and Big Data to Track Economic Activity in Sub-Saharan Africa
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.

Keywords:
Actuals machine learning; year-over-year growth; change help; data availability; payment card
Cover IMF Working Papers
Search Externalities in Firm-to-Firm Trade
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.
Keywords:
Firm-to-Firm Trade; VAT Data; Search-and-Matching; Importing; transport cost reduction; buyer-supplier search; search externality; welfare gains from trade; consumer welfare; Imports; Labor market frictions; Search models; Value-added tax; East Africa; Global
Cover IMF Working Papers
Search Externalities in Firm-to-Firm Trade

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.

Keywords:
buyer-supplier relationship; buyer firm; fixed cost; domestic supplier; buyer-supplier-year triplet; Imports; Search models
Cover IMF Staff Country Reports
Republic of South Sudan: Technical Assistance Report-Report on External Sector Statistics Mission
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.
Keywords:
ISCR; CR; center; bill; import invoice; import entry; BSS compiler; BSS staff; balance of payments compiler; goods imports; Imports; External sector statistics; Interest payments; Government debt management; Africa; Fiscal accounting and reporting
Cover IMF Staff Country Reports
Uganda: 2019 Article IV Consultation-Press Release; Staff Report; and Statement by the Executive Director for Uganda
International Monetary Fund. African Dept.
This 2019 Article IV Consultation discusses that Uganda has made impressive development gains and achieved the Millennium Development Goal on halving poverty ahead of schedule. However, going forward, Uganda must create over 600,000 jobs per year to keep up with its growing population, while making further progress on poverty reduction and the Sustainable Development Goals. The authorities’ development strategy centers on infrastructure and a nascent oil sector. If investments proceed as planned, growth could range between 6 and 7 percent over the next five years. It is important to adopt an effective fiscal anchor and strengthen the budget process to become more binding for fiscal outcomes. It is also recommended to support human capital development and make growth more inclusive by improving the efficiency of public services and providing adequate budget allocations for social sectors. The consultation also suggests strengthening implementation and institutions of the governance and anti-corruption framework. Ensure that the Anti-Money Laundering/Countering the Financing of Terrorism regime is brought in line with international standards.
Keywords:
ISCR; CR; exchange rate; government; infrastructure project; Uganda; management practice; debt metrics; DFID balance of payments module 2; Sta mission; oil sector investment; accommodative monetary policy stance; government intervention; Contingent liabilities; Public investment spending; Government debt management; Sub-Saharan Africa; East Africa; Global; Africa
Cover IMF Committee on Balance of Payments Statistics
IMF Committee on Balance of Payments Statistics
Annual Report 2018
International Monetary Fund. Statistics Dept.

Abstract

The 2018 Annual Report of the IMF Committee on Balance of Payments Statistics provides an overview of trends in global balance of payments statistics.

Keywords:
BY; BOP; term id; work program; term; IMF Committee; IE coverage; research agenda