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Middle East and Central Asia > Qatar

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Cover IMF Staff Country Reports
Qatar: 2023 Article IV Consultation-Press Release; and Staff Report
International Monetary Fund. Middle East and Central Asia Dept.
The 2023 Article IV Consultation highlights that Qatar’s decade-long efforts to diversify the economy culminated into the successful hosting of the 2022 FIFA World Cup. Banks are well capitalized, liquid, and profitable, with the capital adequacy ratio and return on equity at 19 and 14.6 percent, respectively, in the second quarter of 2023. Banks’ nonresident deposits fell by more than one-third from the recent peak, partially replaced by higher public sector domestic deposits, reducing vulnerabilities amid tight global financial conditions. Structural reforms continue to progress, including to enhance protection and mobility of expatriate labor, improve the business environment, promote public–private partnerships, and further attract private investment through the residency program and broadened foreign ownership provisions. The pension scheme has been expanded to more Qataris in the private sector to promote private sector employment. If downside risks materialize, Qatar has strong policy buffers to mitigate the negative impact. On the upside, accelerated reform efforts guided by Third National Development Strategy could further promote diversification and boost potential growth.
Keywords:
LNG production expansion; money market rate; financial asset; IMF staff calculation; labor market dynamics; policy buffer; Fiscal stance; Anti-money laundering and combating the financing of terrorism (AML/CFT); Public sector; Global; Middle East; North Africa; East Africa
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
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 IMF Working Papers
UnFEAR: Unsupervised Feature Extraction Clustering with an Application to Crisis Regimes Classification
Mr. Jorge A Chan-Lau
We introduce unFEAR, Unsupervised Feature Extraction Clustering, to identify economic crisis regimes. Given labeled crisis and non-crisis episodes and the corresponding features values, unFEAR uses unsupervised representation learning and a novel mode contrastive autoencoder to group episodes into time-invariant non-overlapping clusters, each of which could be identified with a different regime. The likelihood that a country may experience an econmic crisis could be set equal to its cluster crisis frequency. Moreover, unFEAR could serve as a first step towards developing cluster-specific crisis prediction models tailored to each crisis regime.
Keywords:
clustering; unsupervised feature extraction; autoencoder; deep learning; biased label problem; crisis prediction; WP; crisis frequency; crisis observation; crisis risk; crisis data points; machine learning; Early warning systems; Global
Cover IMF Staff Country Reports
Qatar: 2019 Article IV Consultation-Press Release; Staff Report
International Monetary Fund. Middle East and Central Asia Dept.
This 2019 Article IV Consultation discusses that stronger real gross domestic product (GDP) growth is envisaged in the near term, with a recovery in hydrocarbon output. Medium-term growth will be buoyed by increased gas production and non-hydrocarbon growth. Expenditure consolidation would help to sustain fiscal and external surpluses. Ample liquidity will enable credit growth to support non-hydrocarbon GDP. Trade and geopolitical tensions could undermine investor confidence and weaken fiscal and external positions. The policy priorities are fiscal consolidation, strengthened fiscal policy frameworks, enhanced resiliency of the financial sector, financial inclusion, and a diversified economy. The financial sector remains sound, underpinned by strong profitability and capital. Strengthening the regulatory and supervisory frameworks would help to bolster financial stability. Attention to women’s empowerment by introducing legislation emphasizing equality in remuneration and avoiding gender-based discrimination would support inclusive growth.
Keywords:
ISCR; CR; Qatar; GDP; IMF staff estimate; central bank; economy; hydrocarbon price; headline inflation; financial asset; Qatar's economy; QCB website; Oil prices; Fiscal stance; Global; Middle East; North Africa; East Africa
Cover IMF Staff Country Reports
Indonesia: Technical Assistance Report – Residential Property Price Statistics Capacity Development Mission
International Monetary Fund. Statistics Dept.
Technical Assistance Report – Residential Property Price Statistics Capacity Development Mission
Keywords:
ISCR; CR; price index; residential property price index; commercial property price index; mortgage data; rent price index; sales-price indexes; bank Indonesia CPPI; big data project; Price indexes; Land prices; Big data; Real estate prices; Real sector statistics
Cover IMF Staff Country Reports
Qatar: 2018 Article IV Consultation-Press Release; Staff Report; and Statement by the Executive Director for Qatar
International Monetary Fund. Middle East and Central Asia Dept.
This 2018 Article IV Consultation highlights that Qatar’s growth performance remains resilient. The direct economic and financial impact of the diplomatic rift between Qatar and some countries in the region has been manageable. Nonhydrocarbon real GDP growth is estimated to have moderated to about 4 percent in 2017 owing to on-going fiscal consolidation and the effect of the diplomatic rift. Headline inflation remains subdued, primarily owing to lower rental prices. The near-term growth outlook is broadly positive. Overall, GDP growth of 2.6 percent is projected for 2018. Inflation is expected to peak at 3.9 percent in 2018 before easing to 2.2 percent in the medium term. The underlying fiscal position continues to improve.
Keywords:
ISCR; CR; GDP; near-term growth outlook; GDDS summary table II data coverage; growth; Non-hydrocarbon real GDP growth; private sector engagement; growth performance; real estate price index; liquidity profile; hydrocarbon price; Commercial banks; Credit; Fiscal stance; Global; Middle East; North Africa; East Africa
Cover Policy Papers
Overarching Strategy on Data and Statistics at the Fund in the Digital Age
International Monetary Fund. Strategy, Policy, &amp
and
Review Department
The first data and statistics strategy for the Fund comes at a critical time. A fast-changing data landscape, new data needs for evolving surveillance priorities, and persisting data weaknesses across the membership pose challenges and opportunities for the Fund and its members. The challenges emerging from the digital revolution include an unprecedented amount of new data and measurement questions on growth, productivity, inflation, and welfare. Newly available granular and high-frequency (big) data offer the potential for more timely detection of vulnerabilities. In the wake of the crisis, Fund surveillance requires greater cross-country data comparability; staff and authorities face the complexity of integrating new data sources and closing data gaps, while working to address the weaknesses noted by the IEO Report (Behind the Scenes with Data at the IMF) in 2016. The overarching strategy is to move toward an ecosystem of data and statistics that enables the Fund and its members to better meet the evolving data needs in a digital world. It integrates Fund-wide work streams on data provision to the Fund for surveillance purposes, international statistical standards, capacity development, and data management under a common institutional objective. It seeks seamless access and sharing of data within the Fund, enabling cloud-based data dissemination to support data provision by member countries (e.g., the “global data commons”), closing data gaps with new sources including Big Data, and improving assessments of data adequacy for surveillance to help better prioritize capacity development. The Fund also will work with policymakers to understand the implications of the digital economy and digital data for the macroeconomic statistics, including new measures of welfare beyond GDP.
Keywords:
PP; director; data landscape; consumer sentiment; Fund staff estimate; data commons; data weakness; big data experiment; Big data; Data dissemination; Special Data Dissemination Standard (SDDS); Global
Cover Staff Discussion Notes
Big Data: Potential, Challenges and Statistical Implications
Cornelia Hammer
,
Ms. Diane C Kostroch
, and
Mr. Gabriel Quiros-Romero
Big data are part of a paradigm shift that is significantly transforming statistical agencies, processes, and data analysis. While administrative and satellite data are already well established, the statistical community is now experimenting with structured and unstructured human-sourced, process-mediated, and machine-generated big data. The proposed SDN sets out a typology of big data for statistics and highlights that opportunities to exploit big data for official statistics will vary across countries and statistical domains. To illustrate the former, examples from a diverse set of countries are presented. To provide a balanced assessment on big data, the proposed SDN also discusses the key challenges that come with proprietary data from the private sector with regard to accessibility, representativeness, and sustainability. It concludes by discussing the implications for the statistical community going forward.
Keywords:
SDN; big data data source; strategy action plan; innovation challenge; big data application; big data classification; big data project; IMF big data; private sector; project inventory; Big Data; Macroeconomic and Financial Statistics; Official Statistics; Data Quality; Surveillance; statistics big data strategy action plan; big data data analysis; big data network; big data revolution; big data use; Social networks; Financial statistics; Global
Cover IMF Staff Country Reports
Qatar: 2016 Article IV Consultation-Press Release; Staff Report; and Statement by the Executive Director for Qatar
International Monetary Fund. Middle East and Central Asia Dept.
This 2016 Article IV Consultation highlights the adverse impact of lower hydrocarbon prices on the macroeconomic performance of Qatar. Growth has slowed despite still-resilient nonhydrocarbon activity. Real GDP growth of 2.7 percent is estimated for 2016. Inflation remained low despite subsidy cuts, averaging about 2.7 percent in 2016. Growth is expected to slow in the medium term as public investment growth tapers off and hydrocarbon output continues to slow. Further subsidy cuts, a moderate recovery in global commodity prices, and the introduction of a value-added tax are expected to improve the fiscal and external balances gradually over the near to medium term.
Keywords:
ISCR; CR; authority; Qatari authorities; IMF staff estimate; hydrocarbon price; banking system liquidity; exhaustible hydrocarbon wealth; Public investment spending; Oil prices; Government debt management; Global; Middle East; North Africa; East Africa