Statistical tragedy in Africa? : evaluating the database for African economic development
著者
書誌事項
Statistical tragedy in Africa? : evaluating the database for African economic development
Routledge, 2016
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注記
"... originally published in 'The Journal of Development Studies', volume 51, issue 2 (February 2015)."--P. vii
Includes bibliographical references and index
内容説明・目次
内容説明
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 improved; and this is a concern not just for statisticians. Weaknesses in statistical methodology and practice can misinform policy makers, international agencies, donors, the private sector, and the citizens of African countries themselves. This is also a problem for academics from various disciplines, from history and economics to social epidemiology and education policy. Not only does academic work on Africa regularly use flawed data, but many problems encountered in surveys challenge common academic abstractions. By exploring these flaws, this book will provide a guide for scholars, policy makers, and all those using and commissioning surveys in Africa. This book was originally published as a special issue of The Journal of Development Studies.
目次
Foreword Introduction: Statistical Tragedy in Africa? Evaluating the Data Base for African Economic Development 1. The Political Economy of Bad Data: Evidence from African Survey and Administrative Statistics 2. From Tragedy to Renaissance: Improving Agricultural Data for Better Policies 3. The Invisibility of Wage Employment in Statistics on the Informal Economy in Africa: Causes and Consequences 4. Poverty in African Households: the Limits of Survey and Census Representations 5. The Making of the Middle-Class in Africa: Evidence from DHS Data 6. Random Growth in Africa? Lessons from an Evaluation of the Growth Evidence on Botswana, Kenya, Tanzania and Zambia, 1965-1995 7. GDP Revisions and Updating Statistical Systems in Sub-Saharan Africa: Reports from the Statistical Offices in Nigeria, Liberia and Zimbabwe
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