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Elizabeth Gavin
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.
Mr. Pokar D Khemani and Mr. Benoit Wiest
The accuracy and reliability of government accounts and fiscal data is an issue in a number of countries, with significant and persistent discrepancies that can indicate underlying weaknesses in the country’s public financial management system. This note provides guidance on how to detect issues with data quality, perform integrity checks, and reconcile fiscal data from various sources. It discusses the importance of reconciliation to provide reasonable assurance on the quality and reliability of government fiscal data, explores the main reasons for which discrepancies may arise, and explains how to conduct quality checks. The note concludes with recommendations for country teams of concrete steps to ensure data quality.