UAE workshop strengthens government finance statistics and public sector debt reporting
UAE Ministry of Finance and IMF held a Dubai workshop to boost government finance statistics and public sector debt reporting, aligning with GFSM 2014.
The Ministry of Finance, in partnership with a technical mission from the International Monetary Fund, convened a specialised workshop in Dubai to strengthen government finance statistics. The event focused on improving preparation and publication practices for government finance statistics and public sector debt, aiming to align UAE data with international norms. Officials described the initiative as part of a wider effort to enhance data quality, transparency and integration across macroeconomic statistics.
Ministry and IMF convene to upgrade statistical capacity
The workshop was organised by the UAE Ministry of Finance together with an IMF technical team to share methodologies and practical guidance. Participants included ministry experts, sectoral statisticians and representatives from relevant federal entities responsible for fiscal and debt reporting. The convening aimed to translate international standards into practical steps for national implementation.
GFSM 2014 and public sector debt frameworks were central topics
Presentations examined the Government Finance Statistics Manual 2014 (GFSM 2014) and its application to UAE reporting practices. Sessions covered analytical tables, institutional coverage, and standard concepts used in government finance reporting. The curriculum also reviewed public sector debt concepts, debt instruments, sectoral classification and valuation principles to ensure consistent reporting across government units.
Standards for publication and transparency discussed in detail
Speakers addressed data dissemination standards promoted by the IMF, including the e-GDDS and SDDS frameworks and related metadata practices. Emphasis was placed on periodicity, timeliness and the publication of descriptive metadata to support user confidence. The workshop explored how adherence to these standards strengthens fiscal transparency and improves comparability with international datasets.
Linking government finance statistics with macroeconomic accounts
A dedicated segment examined the integration of government finance statistics with national accounts, balance of payments, and monetary and financial statistics. Facilitators highlighted the importance of consistency across datasets to produce coherent macroeconomic indicators. Participants discussed reconciliation techniques and the role of interagency coordination in resolving classification and accounting differences.
Practical sessions identified data gaps and technical recommendations
Hands-on sessions reviewed the IMF mission’s findings and proposed technical recommendations for closing data gaps and improving compliance. Participants mapped current practices against international frameworks and prioritised areas for methodological upgrades. The exercise produced targeted recommendations on coverage, reporting formats and quality control processes to address identified deficiencies.
Institutional coordination and roadmap for implementation
Discussions concluded with proposals to strengthen institutional arrangements and define a forward-looking work plan for statistical enhancements. The Ministry emphasised establishing clearer inter-agency procedures to streamline data flows and ensure consistent reporting timelines. Officials committed to a phased approach that balances capacity building, system upgrades and enhanced metadata publication.
The Ministry of Finance framed the workshop as a continuation of the UAE’s strategy to elevate the quality and usability of fiscal data. By aligning government finance statistics and public sector debt reporting with GFSM 2014 and IMF dissemination standards, authorities aim to support sound fiscal planning and policy analysis. Participants left the session with an agreed set of technical actions and a renewed focus on integrating fiscal statistics into the broader macroeconomic statistics framework.