This note outlines the interest of Revenue Administrations (RAs) and National Statistical Offices (NSOs) in the quality of data at their disposal, and how collaboration between these organizations can contribute to improving data quality. The similarities between the data collection and processing steps in revenue administration and in the production of economic statistics underlie meaningful information and data sharing. Mutually beneficial collaboration between RAs and NSOs can be achieved, particularly in efforts to improve the coverage of registers and to update register information; classify economic activity; and analyze joint data to address data shortcomings. Since there are differences in concepts and definitions used in revenue administration and official statistics, dialogue is necessary to ensure the effective use of data from the partner organization. Collaboration can improve the quality of data available to both institutions: for RAs, this can assist in realizing improved taxpayer compliance and revenue mobilization, and for NSOs, tax-administrative data sources may enable expanded coverage of the economy in official statistics and reduce timeframes required for publishing economic time series and national accounts. Together, these outcomes can enhance the policy formulation, planning, and service delivery capability of governments. To that end, this note delineates concrete steps to engender sustainable and meaningful interchange of information and data between the RA and NSO.
In response to a request from the authorities and as part of the United Kingdom’s Department for International Development (DFID) Enhanced Data Dissemination Initiative (EDDI) 2 project, a government finance statistics (GFS) mission visited Maseru, Lesotho, during January 20–31, 2020. The mission was the last, in a series of five consecutive technical assistance (TA) missions to Lesotho, as part of the EDDI 2 project. The objective of the five-year project, that started in 2015 was to foster compilation and dissemination of GFS and public sector debt statistics (PSDS) consistent with international methodological standards. The work program under the project identified the enhancement of classification of transactions in fiscal accounts and the expansion of the institutional coverage of data to include all significant general government units as key milestones to achieve by the end of the project.