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International Monetary Fund. Statistics Dept.
A technical assistance (TA) mission was conducted during July 9–13, 2018 to assist the General Statistics Office of Vietnam (GSO) with the development of a residential property price index (RPPI). This was the first mission conducted to Vietnam under the auspices of the multi-annual STA Data for Decisions (D4D) trust fund. The main objective of TA provided to Vietnam under the D4D will be to assist the GSO to develop an RPPI. The GSO recently launched two initiatives to collect potential source data for the RPPI since taxation data are unreliable in respect of reported transaction prices, and the State Bank of Vietnam (SBV) does not collect loan level mortgage data.
International Monetary Fund
The paper presents an update on the status of the standard template to collect data on government revenues from natural resources, originally presented to the Executive Board in January 2014. The paper discusses: (i) the field-testing of the standard template in six countries, which confirmed the feasibility of applying it more broadly; (ii) the final version of the template based on outcomes of consultation with the international community and the field-testing visits; and (iii) the adoption of the template by the Extractive Industries Transparency Initiative (EITI) International Secretariat as a mandatory reporting requirement for its member countries. The standard template serves as a companion to the Guide to Analyze Natural Resources in the National Accounts. The standard template was developed to support fiscal policy formulation and analysis in resource-rich economies, which constitute about one third of the Fund’s membership. The standard template is based on the revenue classification of the Government Finance Statistics Manual 2014, thereby facilitating the collection of resource revenue data in methodologically sound, analytically relevant, and cross-country comparable format.
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.