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Microfinance, foreign aid, Commitment to Development Index, debt and debt relief
David Roodman, a former CGD senior fellow, worked at the Center from March 2002 to July 2013. His work at the Center focused on microfinance, debt relief, and aid effectiveness. His widely praised book Due Diligence confronts questions about the impacts of microfinance and how it should be supported. He wrote the book through a pathbreaking Microfinance Open Book Blog, where he shared questions, discoveries, and draft chapters.
Roodman was an architect and manager of the Commitment to Development Index since the project's inception in 2002. The Index ranks the world's richest countries based on their dedication to policies that benefit the 5 billion people living in poorer nations; it is widely recognized as the most comprehensive measure of rich-country policies towards the developing world.
Roodman wrote several papers questioning the capacity of common cross-country statistical techniques to shed light on what causes economic development. He co-authored a 2004 American Economic Review paper that challenged findings of World Bank research that aid works in a good policy environment. His non-technical Guide for the Perplexed builds on analysis of methodological problems and fragility in other studies. Among econometricians Roodman is best known for his computer programs that run in the statistical software package Stata; articles about them won him the inaugural Stata Journal editors' prize in 2012. Also in 2012, Roodman aged off the RePEc list of top young economists in the world, at number 6.
Traditional measures of development divide the world into categories such as developed and developing, rich and poor, and North and South. While indexes such as CGD’s Commitment to Development Index (CDI) can be useful for roughly defining which countries contribute the most to helping the world’s poorest, it is more difficult to account for rising countries like Brazil, China, and India that are improving their commitments to a to a more fair and prosperous global order. Which countries are going above and beyond in their commitments to global citizenship?
This Thursday, the World bank will host the unveiling of the latest edition of the best-known ranking of think tanks, which is produced by the University of Pennsylvania. The public event will reveal whether the Brookings Institution has lost its hold on "Think Tank of the Year," which tanks made the top 50 worldwide, which are best in Latin America, and so on.
David Roodman, creator of the Commitment to Development Index (CDI), has devised a measure of foreign aid flows that takes into account the interest payments that developing countries make to rich country creditors. The Net Aid Transfers data set, which is a component of the CDI, is available for download.
The Burnside and Dollar (2000) finding that aid raises growth in a good policy environment has had an important influence on policy and academic debates. We conduct a data gathering exercise that updates their data from 1970-93 to 1970-97, as well as filling in missing data for the original period 1970-93. We find that the BD finding is not robust to the use of this additional data. (JEL F350, O230, O400)
The Commitment to Development Index of the Center for Global Development rates 21 rich countries on the “development-friendliness” of their policies. It is revised and updated annually. In the 2004 edition, the component on foreign assistance combines quantitative and qualitative measures of official aid, and of fiscal policies that support private charitable giving.
Recent literature contains many stories of how foreign aid affects economic growth: aid raises growth in countries with good policies, or in countries with difficult economic environments, or mainly outside the tropics, or on average with diminishing returns. The diversity of these results suggests that many are fragile. I test 7 important aid-growth papers for robustness. The 14 tests are minimally arbi-trary, deriving mainly from differences among the studies themselves. This approach investigates the importance of potentially arbitrary specification choices while minimizing arbitrariness in testing choices. All of the results appear fragile, especially to sample expansion.