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Statistical Tragedy in Africa? : Evaluating the Data Base for African Economic Development

Measurement is increasingly at the centre of debates in African economic development. Some remarkable upward revisions of GDP, which are signs of statistical systems improving, caused the declaration of a statistical tragedy in Africa. This special issue evaluates the database for African economic development with articles on the quality of the data on GDP, health and education, poverty, labour, a

GDP Revisions and Updating Statistical Systems in Sub-Saharan Africa : Reports from the Statistical Offices in Nigeria, Liberia and Zimbabwe

The quality of economic statistics in Africa has been likened to a statistical tragedy. Currently many statistical systems in Africa are being updated. This report from the statistical offices in Nigeria, Liberia and Zimbabwe documents that base year, data and methods used to generate GDP estimates currently date from 1990, 1992 and 1994. There is a growing need for macroeconomic statistics, but a

Does it pay to be poor? : Testing for systematically underreported GNI estimates

Coordinating aid distribution to the poorest countries requires identifying which countries are poor. In practice this has meant sorting countries into developmental cohorts on the basis of macroeconomic data, with countries in poorer cohorts gaining access to more and more concessional aid programs. To the extent that governments can influence their macroeconomic data, some, especially those in a

Using electric fields for pulse compression and group-velocity control

In this article, we experimentally demonstrate a way of controlling the group velocity of an optical pulse by using a combination of spectral hole burning, the slow-light effect, and the linear Stark effect in a rare-earth-ion-doped crystal. The group velocity can be changed continuously by a factor of 20 without significant pulse distortion or absorption of the pulse energy. With a similar techni

Poor Numbers : How we are misled by African development statistics and what to do about it

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 per-capita 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 in

Economic Growth and Measurement Reconsidered in Botswana, Kenya, Tanzania, and Zambia, 1965-1995

How do we measure African economic performance? This volume studies how growth is measured in Botswana, Kenya, Tanzania and Zambia and challenges commonly held beliefs of African economic performance. The volume offers a reconsideration of economic growth in Africa in three respects. First, it shows that the focus has been on average economic growth and that there has been no failure of economic g

Africa : Why Economists Got it Wrong

Not so long ago, Africa was being described as the ‘Hopeless Continent’. Recently, though, talk has turned to ‘Africa Rising’, with enthusiastic voices exclaiming the potential for economic growth across many of its countries. What, then, is the truth behind Africa’s growth, or lack of it?In this provocative book, Morten Jerven fundamentally reframes the debate, challenging mainstream accounts of

Measuring African Development : Past and Present

The chief economist for the World Bank's Africa region, Shanta Devarajan, delivered a devastating assessment of the capacity of African states to measure development in his 2013 article "Africa's Statistical Tragedy". Is there a "statistical tragedy" unfolding in Africa now? If so, it becomes important to examine the roots of the problem as far as the provision of statistics in poor economies is c

Statistical Tragedy in Africa?

What do we know about economic development in Africa? The answer is that we know much less than we would like to think. This collection assesses the knowledge problem present in statistics on poverty, agriculture, labour, education, health, and economic growth. While diverse in origin, the contributors to this book are unified in two conclusions: the quality and quantity of data needs to be improv