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Middle East and Central Asia > Qatar

You are looking at 1 - 4 of 4 items for :

  • Type: Journal Issue x
  • Finance; Statistics x
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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 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: 2008 Article IV Consultation: Staff Report; Staff Statement; and Public Information Notice on the Executive Board Discussion;
International Monetary Fund
Qatar’s macroeconomic performance was strong in 2008, notwithstanding the global financial crisis. This 2008 Article IV Consultation discusses that overall real GDP growth is estimated at 16 percent in 2008, driven by expansions in the production of oil, liquefied natural gas, and condensates. Executive Directors have welcomed the authorities’ intention to moderate fiscal expansion and broaden the non-oil revenue base over the medium term. They have supported the emphasis on building capacity in infrastructure and easing supply bottlenecks while containing government current expenditure to reduce inflation.
Keywords:
ISCR; CR; oil price baseline assumption; surplus; rate; draft accord; real gross domestic product; rent inflation; Qatari riyal; Qatar's economy; exchange rate; Inflation; Oil prices; Commercial banks; Balance of payments statistics; Global
Cover IMF Working Papers
Providing official Statistics for the Common Market and Monetary Union in the Gulf Cooperation Council (GCC) Countries: A Case for "Gulfstat"
Abdulrahman K Al-Mansouri
and
Ms. Claudia H Dziobek
The six member states of the Gulf Cooperation Council (GCC)-Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and United Arab Emirates (UAE)-have laid out a path to a common market by 2007 and monetary union by 2010, based on economic convergence. To monitor convergence and support economic and monetary policy, comparable economic data for member countries and data for the region as a whole will be essential. What is the most efficient way to produce these data? The authors survey the statistical institutions in the GCC countries and present the case for creating "Gulfstat"-a regional statistical agency to operate within a "Gulf States System of Statistics." Valuable lessons can be learned from regional statistical organization in Africa and the European Union-Afristat and Eurostat.
Keywords:
WP; Eurostat; GCC country; country; process; authority; Data Quality; Regional Economic Integration; Gulf Cooperation Council; governance structure; common market; ROSC country report; GCC authorities; GCC member states; EU information requirement; Government finance statistics; Monetary unions; Data dissemination; Data collection; Sub-Saharan Africa; Europe; Global