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Middle East and Central Asia > Qatar

You are looking at 1 - 10 of 16 items for :

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Cover IMF Working Papers
Reported Social Unrest Index: August 2023 Update
Mr. Philip Barrett
and
Euihyun Bae
This paper is the second update of the Reported Social Unrest Index (Barrett et al. 2022), outlining developments in global social unrest since March 2022. It shows that the fraction of countries experiencing major social unrest events has been stable. Reasons for social unrest can be broadly categorized as stemming from sdebate over constitutional issues, protests connected to specific policies, and other generalized disorder.
Keywords:
attempts to proxy; fraction of country; copyright page; update of the Reported Social Unrest Index; IMF surveillance; Pension spending; Machine learning; Pension reform; Stock markets; COVID-19; Global
Cover IMF Staff Country Reports
Qatar: 2022 Article IV Consultation-Press Release; and Staff Report
International Monetary Fund. Middle East and Central Asia Dept.
Swift and decisive policy response to the Covid-19 pandemic has helped to mitigate the health and economic impact of the crisis. Fast vaccination rollout has also strengthened the economy’s resilience to new pandemic waves, paving the way for a speedy recovery. As the economy rebounds, a gradual exit from pandemic support measures is underway.
Keywords:
hydrocarbon price; CPI data; money market rate; financial asset; headline inflation; IMF's transparency policy; COVID-19; External sector statistics; Foreign assets; Global; Middle East; North Africa; East Africa
Cover IMF Working Papers
Overcoming Data Sparsity: A Machine Learning Approach to Track the Real-Time Impact of COVID-19 in Sub-Saharan Africa
Karim Barhoumi
,
Seung Mo Choi
,
Tara Iyer
,
Jiakun Li
,
Franck Ouattara
,
Mr. Andrew J Tiffin
, and
Jiaxiong Yao
The COVID-19 crisis has had a tremendous economic impact for all countries. Yet, assessing the full impact of the crisis has been frequently hampered by the delayed publication of official GDP statistics in several emerging market and developing economies. This paper outlines a machine-learning framework that helps track economic activity in real time for these economies. As illustrative examples, the framework is applied to selected sub-Saharan African economies. The framework is able to provide timely information on economic activity more swiftly than official statistics.
Keywords:
Sub-Saharan Africa; Economic Activity; GDP; Machine Learning; Nowcasting; COVID-19; machine learning approach; data sparsity; GDP statistics; crisis in Sub-Saharan Africa; learning framework; Oil prices; Real effective exchange rates; Africa; Global
Cover IMF Working Papers
Nowcasting GDP - A Scalable Approach Using DFM, Machine Learning and Novel Data, Applied to European Economies
Mr. Jean-Francois Dauphin
,
Mr. Kamil Dybczak
,
Morgan Maneely
,
Marzie Taheri Sanjani
,
Mrs. Nujin Suphaphiphat
,
Yifei Wang
, and
Hanqi Zhang
This paper describes recent work to strengthen nowcasting capacity at the IMF’s European department. It motivates and compiles datasets of standard and nontraditional variables, such as Google search and air quality. It applies standard dynamic factor models (DFMs) and several machine learning (ML) algorithms to nowcast GDP growth across a heterogenous group of European economies during normal and crisis times. Most of our methods significantly outperform the AR(1) benchmark model. Our DFMs tend to perform better during normal times while many of the ML methods we used performed strongly at identifying turning points. Our approach is easily applicable to other countries, subject to data availability.
Keywords:
Nowcasting; Factor Model; Machine Learning; Large Data Sets; machine learning algorithm; novel data; approach Using DFM; support vector Machine; data availability; Machine learning; COVID-19; Business cycles; Factor models; Global; Caribbean; Europe
Cover Departmental Papers
Assessing Banking Sector Vulnerabilities in the Gulf Cooperation Council in the Wake of COVID-19
Abdullah Al-Hassan
,
Imen Benmohamed
,
Aidyn Bibolov
,
Giovanni Ugazio
, and
Ms. Tian Zhang
The Gulf Cooperation Council region faced a significant economic toll from the COVID-19 pandemic and oil price shocks in 2020. Policymakers responded to the pandemic with decisive and broad measures to support households and businesses and mitigate the long-term impact on the economy. Financial vulnerabilities have been generally contained, reflecting ongoing policy support and the rebound in economic activity and oil prices, as well as banks entering the COVID-19 crisis with strong capital, liquidity, and profitability. The banking systems remained well-capitalized, but profitability and asset quality were adversely affected. Ongoing COVID-19 policy support could also obscure deterioration in asset quality. Policymakers need to continue to strike a balance between supporting recovery and mitigating risks to financial stability, including ensuring that banks’ buffers are adequate to withstand prolonged pandemic and withdrawal of COVID-related policy support measures. Addressing data gaps would help policymakers to further assess vulnerabilities and mitigate sectoral risks.
Keywords:
COVID-19; banking performance; corporates performance; sovereign-banks-economy nexus; bank asset quality; oil price shock; policy support; assessing banking sector vulnerability; C. bank assets quality; Financial statements; Commercial banks; Loans; Credit; Global; Middle East
Cover IMF Working Papers
Using the Google Places API and Google Trends Data to Develop High Frequency Indicators of Economic Activity
Mr. Paul A Austin
,
Mr. Marco Marini
,
Alberto Sanchez
,
Chima Simpson-Bell
, and
James Tebrake
As the pandemic heigthened policymakers’ demand for more frequent and timely indicators to assess economic activities, traditional data collection and compilation methods to produce official indicators are falling short—triggering stronger interest in real time data to provide early signals of turning points in economic activity. In this paper, we examine how data extracted from the Google Places API and Google Trends can be used to develop high frequency indicators aligned to the statistical concepts, classifications, and definitions used in producing official measures. The approach is illustrated by use of Google data-derived indicators that predict well the GDP trajectories of selected countries during the early stage of COVID-19. To this end, we developed a methodological toolkit for national compilers interested in using Google data to enhance the timeliness and frequency of economic indicators.
Keywords:
Reopening; COVID-19; High-Frequency Data; Business Register.; Google Trends data; Google data; high-frequency data; high frequency indicator; reopening Indicator; APIs; Big data; Manufacturing; Africa; Global
Cover Policy Papers
Economic Prospects and Policy Challenges for the GCC Countries - 2021
International Monetary Fund
GCC policymakers moved quickly to mitigate the health and economic impacts of twin COVID-19 and oil price shocks. Infection rates have declined across the GCC to well below previous peaks, though countries have experienced successive waves of the virus, and economic recoveries have begun to take hold. Nevertheless, GCC policymakers must navigate a challenging and uncertain landscape. The pandemic continues to cloud the global outlook as countries are in different phases of recovery, with varied growth prospects and policy space
Keywords:
oil market development; oil growth; oil balance; climate change impact; GCC economy; Oil prices; COVID-19; Oil consumption; Climate change; Global; Fiscal stance
Cover Policy Papers
2021 Comprehensive Surveillance Review— Background Paper on Traction
International Monetary Fund. Strategy, Policy, & Review Department
This paper presents traction as a multidimensional concept and discusses a comprehensive and complementary set of approaches to attempt to measure it based on the Fund’s value added to policy dialogue and formulation and public debate in member countries.
Keywords:
article IV advice; fund policy advice; fund advice; policy dialogue; IMF's transparency policy; COVID-19; Income; Financial Sector Assessment Program; Financial sector stability; Machine learning; Global
Cover IMF Staff Country Reports
Rwanda: Third Review Under the Policy Coordination Instrument-Press Release; Staff Report; and Statement by the Executive Director and Staff Representative for Rwanda
International Monetary Fund. African Dept.
The COVID-19 pandemic is having an adverse impact on Rwanda’s economy, despite a sizeable policy response. Output in 2020 is projected to contract by 0.2 percent, compared to an 8 percent increase expected pre-pandemic. The government’s early actions helped contain the spread of the virus and mitigate its economic impact, supported by financing from Rwanda’s development partners, including from the IMF under the RCF. With the number of infections contained, the authorities are gradually easing up containment measures.
Keywords:
ISCR; CR; IT system; assessment of a reform target; staff appraisal; real-time assessment; interest rate
Cover Policy Papers
Economic Prospects and Policy Challenges for the GCC Countries
International Monetary Fund. Middle East and Central Asia Dept.
The COVID-19 pandemic is having far-reaching consequences for the global economy. Measures to contain the spread of the virus have led to sharp declines in economic activity across the globe, particularly in 2020Q2. The hardest hit sectors have been those requiring intensive human contact, such as tourism, transportation, services, and construction, while, in general, IT-intensive activities have fared better. The economic contraction is most significant in advanced economies. The GCC countries face a double impact from the coronavirus and lower oil prices. GCC authorities have implemented a range of appropriate measures to mitigate the economic damage, including fiscal packages, relaxation of monetary and macroprudential rules, and the injection of liquidity into the banking system, and there are recent signs of improvement. Low oil prices have caused a sharp deterioration of external and fiscal balances, and fiscal strains are evident in countries with higher debt levels.
Keywords:
PP; GCC country; IMF staff calculation; GCC authorities; labor market; GCC economy; GCC inflation; central bank; COVID-19; Oil prices; Fiscal consolidation; Oil; Global