Poor Numbers: How We Are Misled by African Development Statistics and What to Do about It (Cornell Studies in Political Economy),Used

Poor Numbers: How We Are Misled by African Development Statistics and What to Do about It (Cornell Studies in Political Economy),Used

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One of the most urgent challenges in African economic development is to devise a strategy for improving statistical capacity. Reliable statistics, including estimates of economic growth rates and percapita income, are basic to the operation of governments in developing countries and vital to nongovernmental organizations and other entities that provide financial aid to them. Rich countries and international financial institutions such as the World Bank allocate their development resources on the basis of such data. The paucity of accurate statistics is not merely a technical problem; it has a massive impact on the welfare of citizens in developing countries.Where do these statistics originate? How accurate are they? Poor Numbers is the first analysis of the production and use of African economic development statistics. Morten Jervens research shows how the statistical capacities of subSaharan African economies have fallen into disarray. The numbers substantially misstate the actual state of affairs. As a result, scarce resources are misapplied. Development policy does not deliver the benefits expected. Policymakers attempts to improve the lot of the citizenry are frustrated. Donors have no accurate sense of the impact of the aid they supply. Jervens findings from subSaharan Africa have farreaching implications for aid and development policy. As Jerven notes, the current catchphrase in the development community is 'evidencebased policy,' and scholars are applying increasingly sophisticated econometric methodsbut no statistical techniques can substitute for partial and unreliable data.

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