1. The Use of Administrative Sources for Statistical Purposes (National Accounts) Margaret Kevin Nakirya Uganda Bureau of Statistics

2. Sources and uses of Administrative DATA

3. Data Type Administrative Authority SourceApplication Customs dataUganda Revenue Authority Estimation of net exports for the expenditure approach and also estimate net consumption for selected indicators Income data (Revenue Authority)Uganda Revenue AuthorityGO/VA for large establishments - on trial Value Added Tax (Revenue Authority)Uganda Revenue AuthorityGO/VA for formal sector - on trial Cash crop procurement Respective statutory organistaions Estimation of harvests for coffee, tea, cotton and Tobacco Monetary and Finance statistics ( Fin. Svcs & FISIM)Bank of UgandaGO/VA for financial Services and FISIM Periodic financial reports (NSSF, NWSC, Respective govt corporationsGO /VA for selected government corporations Health (Drug disbursements, in- patients, out-patients, immunisation coverage etc)Min. Of Health Computation of an index to extrapolate QVA for private Health Education (enrolment)Min. Of Education & Sports Computation of an index to extrapolate QVA for private education GFS (Salaries, cost of goods, other expenditures)MFPEDGO /VA for public administration Mined and quarry production data Min. Energy and Mineral Resources,Geology department Computation of an index to extrapolate QVA for Mining & quarrying Migration (arrivals & departures)Min. Of internal Affairs Computation of an index to extrapolate QVA for hotels and restaurants Registration systems for persons / businesses / property / Respective registration bodies Compilation of volume indicies to extrapolate VA for selected activities

4. Advantages of using Administrative data Needs less resources (staff and funds) for data collection since its free compared to surveys & censuses Reduces response burden on data suppliers hence allowing statistics to be produced with no extra burden Usually has bigger/full coverage hence providing better estimates –No survey errors –Better small area/unit estimates

5. Advantages of using Administrative data Production of statistics from admin.data is quicker (routine prodn), hence timely release of information because there is no need for; –Form design –Pilot surveys –Samplging, etc

6. Application of administrative data Revenue Authority data is used for –Customs data is used for compiling external trade statistics which is used for estimation of exports and imports in expenditure approach – Income tax and VAT is going to be used for estimation of GO for the formal sector Monetary and Financial statistics –Estimation of GO for the financial services

7. Limitations of data from admin. sources Methodology (concepts & definition) used may not conform to accepted statistical standards hence inaccurate reporting Because administrative data is usually aggregated at a broader level, some information content is lost relating to individual variation and equity concerns. Records are incomplete in most cases Wrongly classified in most cases Administrative data particularly that related to health service provision is inherently biased, as it is only representative of the population that has sought out the services.

8. Question How best can we harmonise concepts and definitions of administrative data with their use in an integrated statistical system? ACASE FOR UGANDA

9. Steps taken towards integration of Economic Statistics The Bureau continuously updates and implements statistical standards - Compendium of Concepts and Definitions, meta data, methodology in statistical production and management within the NSS. Frequent producer-producer workshops are held to update on new concepts and resolve any outstanding issues through the NSS coordination mandate The Bureau developed and implemented a harmonized data production, usage policy, and dissemination framework in the NSS. UBOS has two standards for statistical production that were approved by Uganda National Bureau of Standards; - Code of practice for official statistics - Guidelines for production of quality statistics