OECD Statistics Working Papers
The OECD Statistics Working Paper Series - managed by the OECD Statistics and Data Directorate – is designed to make available in a timely fashion and to a wider readership selected studies prepared by staff in the Secretariat or by outside consultants working on OECD projects. The papers included are of a technical, methodological or statistical policy nature and relate to statistical work relevant to the organisation. The Working Papers are generally available only in their original language - English or French - with a summary in the other.
Joint Working Papers:
Testing the evidence, how good are public sector responsiveness measures and how to improve them? (with OECD Public Governance Directorate)
Measuring Well-being and Progress in Countries at Different Stages of Development: Towards a More Universal Conceptual Framework (with OECD Development Centre)
Measuring and Assessing Job Quality: The OECD Job Quality Framework (with OECD Directorate for Employment, Labour and Social Affairs)
Forecasting GDP during and after the Great Recession: A contest between small-scale bridge and large-scale dynamic factor models (with OECD Economics Directorate)
Decoupling of wages from productivity: Macro-level facts (with OECD Economics Directorate)
Which policies increase value for money in health care? (with OECD Directorate for Employment, Labour and Social Affairs)
Compiling mineral and energy resource accounts according to the System of Environmental-Economic Accounting (SEEA) 2012 (with OECD Environment Directorate)
- ISSN: 18152031 (online)
- https://doi.org/10.1787/18152031
Governance statistics in OECD countries and beyond
What exists, and what would be required to assess their quality?
The paper provides a first assessment of the range of governance statistics that are available in OECD countries, reaching three main conclusions. First, while several statistics relating to various aspects of governance are already available, they differ in terms of the underlying concepts, the labels used to describe them, the range of institutions covered, and the detailed aspect or function considered: developing a common conceptual framework for governance is hence a prerequisite for gathering more robust and useful statistics in this field. Second, efforts should be devoted to thoroughly assess the quality of existing governance statistics, as a preliminary step towards providing general advice to statistical producers and users: the model currently used by the OECD with respect to measuring “trust”, based on an assessment of the reliability and validity of existing measures, could be usefully extended to other aspects of governance. Third, while politically sensitive, there are no a priori reasons why NSOs should consider governance statistics as falling outside their remit; these statistics should become part of their routine production, subject to the same quality standards and requirements that apply to other social, economic and environmental statistics.
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