Person:
Kraay, Aart

Development Research Group, The World Bank
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Macroeconomics, Debt management, Economic growth, Inequality and shared prosperity
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Development Research Group, The World Bank
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Last updated: January 31, 2023
Biography
Aart Kraay is Director of Research in the Development Research Group at the World Bank. He joined the World Bank in 1995 after earning a Ph.D. in economics from Harvard University (1995), and a B.Sc. in economics from the University of Toronto (1990). His research interests include international capital movements, growth and inequality, governance, and the Chinese economy. His research on these topics has been published in scholarly journals such as the Quarterly Journal of Economics, the Review of Economics and Statistics, the Economic Journal, the Journal of Monetary Economics, the Journal of International Economics, and the Journal of the European Economic Association. He is an associate editor of the Journal of Development Economics, and co-editor of the World Bank Economic Review. He has also held visiting positions at the International Monetary Fund and the Sloan School of Management at MIT, and has taught at the School of Advanced International Studies at Johns Hopkins University.
Citations 714 Scopus

Publication Search Results

Now showing 1 - 3 of 3
  • Publication
    Governance Matters VII : Aggregate and Individual Governance Indicators 1996-2007
    (World Bank, Washington, DC, 2008-06) Kaufmann, Daniel; Kraay, Aart; Mastruzzi, Massimo
    This paper reports on the latest update of the Worldwide Governance Indicators (WGI) research project, covering 212 countries and territories and measuring six dimensions of governance between 1996 and 2007: Voice and Accountability, Political Stability and Absence of Violence/Terrorism, Government Effectiveness, Regulatory Quality, Rule of Law, and Control of Corruption. The latest aggregate indicators are based on hundreds of specific and disaggregated individual variables measuring various dimensions of governance, taken from 35 data sources provided by 32 different organizations. The data reflect the views on governance of public sector, private sector and NGO experts, as well as thousands of citizen and firm survey respondents worldwide. The authors also explicitly report the margins of error accompanying each country estimate. These reflect the inherent difficulties in measuring governance using any kind of data. The authors also briefly describe the evolution of the WGI since its inception, and show that the margins of error on the aggregate governance indicators have declined over the years, even though they still remain non-trivial. The authors find that even after taking margins of error into account, the WGI permit meaningful cross-country comparisons as well as monitoring progress over time. In less than a decade, a substantial number of countries exhibit statistically significant improvements in at least one dimension of governance, while other countries exhibit deterioration in some dimensions. These aggregate indicators, spanning more than a decade, together with the disaggregated individual indicators, are available at www.govindicators.org.
  • Publication
    Instrumental Variables Regressions with Honestly Uncertain Exclusion Restrictions
    (World Bank, Washington, DC, 2008-05) Kraay, Aart
    The validity of instrumental variables (IV) regression models depends crucially on fundamentally untestable exclusion restrictions. Typically exclusion restrictions are assumed to hold exactly in the relevant population, yet in many empirical applications there are reasonable prior grounds to doubt their literal truth. In this paper I show how to incorporate prior uncertainty about the validity of the exclusion restriction into linear IV models, and explore the consequences for inference. In particular I provide a mapping from prior uncertainty about the exclusion restriction into increased uncertainty about parameters of interest. Moderate prior uncertainty about exclusion restrictions can lead to a substantial loss of precision in estimates of structural parameters. This loss of precision is relatively more important in situations where IV estimates appear to be more precise, for example in larger samples or with stronger instruments. The author illustrates these points using several prominent recent empirical papers that use linear IV models.
  • Publication
    Governance Indicators
    (World Bank, 2008-03-01) Kaufmann, Daniel; Kraay, Aart
    Progress in measuring governance is assessed using a simple framework that distinguishes between indicators that measure formal rules and indicators that measure the practical application or outcomes of these rules. The analysis calls attention to the strengths and weaknesses of both types of indicators as well as the complementarities between them. It distinguishes between the views of experts and the results of surveys and assesses the merits of aggregate as opposed to individual governance indicators. Some simple principles are identified to guide the use and refinement of existing governance indicators and the development of future indicators. These include transparently disclosing and accounting for the margins of error in all indicators, drawing from a diversity of indicators and exploiting complementarities among them, submitting all indicators to rigorous public and academic scrutiny, and being realistic in expectations of future indicators.