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CGD research explores how international financial institutions such as the International Monetary Fund, World Bank, multilateral development banks, and other international development agencies can become more responsive to the needs of developing countries. The Center’s work concerns itself with the future of these institutions, all of which are facing shifts in demand for their traditional services, the emergence of new institutions, and reform of their leadership selection processes.
Public policy on financial crises in emerging markets has implicitly been grounded in economic theory calling for lender-of-last-resort intervention when the country is solvent, and on theory recognizing that reputational damage is the quasi-collateral enabling lending to sovereigns with no physical collateral. The call for Private Sector Involvement — PSI — in the financing of crisis resolution has appropriately arisen from the desire for fairness as well as for successful outcomes. This paper identifies an array of PSI modalities and argues that in each crisis case the most voluntary type consistent with the circumstances should be chosen, to speed return to market access.
What should the World Bank optimally do with the US$10 to $20 billion it can loan each year? Has it, in fact, done what is optimal? This study suggests a simple framework within which to measure the World Bank against an optimal international public financier for development. It goes on to argue that a careful treatment of the empirical evidence on Bank lending strongly contradicts optimal behavior under different assumptions. The evidence, in fact, rejects any notion that the Bank has substituted for private capital or that it has successfully catalyzed private development finance.
In this paper I set out the economic logic for why good global economic governance matters for reducing poverty and inequality and argue that a step towards better global governance would be better representation of developing countries in global and regional financial institutions.
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)
Poverty reduction is now, and quite properly should remain, the primary objective of the World Bank. But, when the World Bank dreams of a world free of poverty—what should it be dreaming? I argue in this essay that the dream should be a bold one, that treats citizens of all nations equally in defining poverty, and that sets a high standard for what eliminating poverty will mean for human well-being.
The Millennium Development Goals (MDGs) are unlikely to be met by 2015, even if huge increases in development assistance materialize. The rates of progress required by many of the goals are at the edges of or beyond historical precedent. Many countries making extraordinarily rapid progress on MDG indicators, due in large part to aid, will nonetheless not reach the MDGs. Unrealistic targets thus may turn successes into perceptions of failure, serving to undermine future constituencies for aid (in donors) and reform (in recipients). This would be unfortunate given the vital role of aid and reform in the development process and the need for long-term, sustained aid commitments.
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.