The paper outlines a general framework for statistical legislation. The implications of statistical legislation for the whole statistical system, as well as for centralized versus decentralized statistical systems, are addressed. The general framework is spelled out by identifying "essential" components of statistical legislation. The paper illustrates how these components can be applied to different country situations, and it draws attention to a number of additional topics for discussion and areas for future study in statistical legislation. It also brings together summary descriptions of the statistical legislation of a large number of countries that underlie the derivation of the essential components. It thus provides a reference for countries considering new or revised statistical legislation.
This paper suggests a way forward in the effort to measure statistical capacity building by combining features of two tools – the Project Management System, a logical framework methodology that the IMF Statistics Department uses to plan, monitor, and evaluate technical assistance projects, and the Data Quality Assessment Framework, a methodology for assessing data quality that brings together best practices and internationally accepted concepts and definitions in statistics