Worldwide Governance Indicators

Worldwide Governance Indicators
Name	Worldwide Governance Indicators
Producer	World Bank
Started	1996
Frequency	Annual
Countries	200+
Topics	Governance, Development, Institutions

Contents

Worldwide Governance Indicators The Worldwide Governance Indicators are a set of aggregate measures produced to assess public sector performance across countries. They are used by institutions such as the World Bank Group, International Monetary Fund, United Nations Development Programme, Asian Development Bank, and African Development Bank to inform policy, research, and lending decisions. Policymakers from European Commission member states, scholars at Harvard University, Stanford University, and Oxford University, and non-governmental organizations like Transparency International, Human Rights Watch, and Amnesty International frequently cite these indicators.

Overview and Purpose

The project was devised to synthesize information from multiple sources including Global Integrity, Freedom House, Economist Intelligence Unit, Political Risk Services Group, Bertelsmann Stiftung, and national audit institutions to deliver cross-country comparisons usable by United Nations, Organisation for Economic Co-operation and Development, and bilateral donors such as United States Agency for International Development and Department for International Development (UK). Its stated purpose aligns with agendas promoted at conferences like the World Economic Forum and reports from OECD and G20 summits to improve accountability in institutions such as European Central Bank, Federal Reserve System, and Bank of England-advised policymaking.

The methodology combines quantitative and qualitative inputs from expert surveys, NGO reports, commercial risk assessments, and executive opinion data from firms including Gallup, Latinobarómetro, and Afrobarometer. Statistical aggregation techniques draw on procedures used in projects at Massachusetts Institute of Technology, Princeton University, and University of Chicago and employ latent variable models similar to those in research by Christopher A. Sims, James Heckman, and work cited in Journal of Political Economy. Source datasets cited include publications by World Health Organization, United Nations Educational, Scientific and Cultural Organization, International Labour Organization, and country-specific institutions like the National Bureau of Statistics (China), India Ministry of Statistics and Programme Implementation, and Brazilian Institute of Geography and Statistics.

Indicators are organized into six domains frequently discussed in analyses by Paul Collier, Daron Acemoglu, James Robinson, and practitioners at International Crisis Group: - Voice and Accountability, comparable to metrics used by Amnesty International and Human Rights Watch. - Political Stability and Absence of Violence, referenced in studies by Seth G. Jones and Stanley Kurtz. - Government Effectiveness, akin to assessments by McKinsey & Company and IMF country reports. - Regulatory Quality, used in evaluations by World Trade Organization and World Intellectual Property Organization. - Rule of Law, paralleled in jurisprudence reviews from International Court of Justice and European Court of Human Rights. - Control of Corruption, central to work by Transparency International and investigations like those conducted by International Consortium of Investigative Journalists. Scholars at London School of Economics, Yale University, and Columbia University apply these domains in cross-disciplinary studies.

Coverage spans over 200 jurisdictions with time series beginning in the 1990s and updated annually, informing analyses in publications like The Economist, Financial Times, and reports by Moody's Investors Service and Standard & Poor's. Limitations noted by critics from Brookings Institution, Cato Institute, and Heritage Foundation include measurement error, source bias from outlets such as The Wall Street Journal and New York Times commentary, and challenges comparing federal systems like United States to unitary states like France or China. Methodological caveats are debated in forums at American Political Science Association and presented at conferences hosted by World Bank and IMF.

The indicators inform sovereign risk analyses by Goldman Sachs, JPMorgan Chase, and Deutsche Bank and development program design by Bill & Melinda Gates Foundation and Rockefeller Foundation. Reception ranges from endorsement in policy briefs by UNICEF and UN Women to critique in academic articles in American Economic Review, Journal of Development Economics, and working papers from National Bureau of Economic Research. Criticisms by scholars including Dani Rodrik, William Easterly, and Paul Romer point to aggregation opacity, potential Western bias highlighted by commentators at Council on Foreign Relations and debates in Foreign Affairs.

Revisions to the dataset and methodological notes are periodically released by teams at the World Bank Institute and discussed at symposia at United Nations University, International Statistical Institute, and seminars at Princeton University. Impact evaluations using the indicators have appeared in studies by J-PAL, IFPRI, and authors such as Esther Duflo and Abhijit Banerjee examining links between governance metrics and outcomes in Senegal, India, Brazil, Nigeria, and Indonesia. Policy impact is tracked in country strategies from World Bank Group and program assessments by Asian Development Bank and Inter-American Development Bank.

Category:Governance