Poor Numbers : : How We Are Misled by African Development Statistics and What to Do about It / / Morten Jerven.
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 nongov...
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Place / Publishing House: | Ithaca, NY : : Cornell University Press, , [2013] ©2013 |
Year of Publication: | 2013 |
Language: | English |
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Jerven, Morten, author. aut http://id.loc.gov/vocabulary/relators/aut Poor Numbers : How We Are Misled by African Development Statistics and What to Do about It / Morten Jerven. Ithaca, NY : Cornell University Press, [2013] ©2013 1 online resource (208 p.) : 12 tables, 2 charts text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Cornell Studies in Political Economy Frontmatter -- Contents -- Illustrations -- Preface -- Acknowledgments -- Introduction -- 1. What Do We Know about Income and Growth in Africa? -- 2. Measuring African Wealth and Progress -- 3. Facts, Assumptions, and Controversy -- 4. Data for Development -- Conclusion. Development by Numbers -- Appendix A. A Comparison of GDP Estimates from the World Development Indicators Database and Country Estimates -- Appendix B. Details of Interviews and Questionnaires -- Notes -- References -- Index restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star 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 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 Jerven's research shows how the statistical capacities of sub-Saharan 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. Jerven's findings from sub-Saharan Africa have far-reaching implications for aid and development policy. As Jerven notes, the current catchphrase in the development community is "evidence-based policy," and scholars are applying increasingly sophisticated econometric methods—but no statistical techniques can substitute for partial and unreliable data. Mode of access: Internet via World Wide Web. In English. Description based on online resource; title from PDF title page (publisher's Web site, viewed 26. Apr 2024) Economic development Africa, Sub-Saharan Statistics. Economic indicators Africa, Sub-Saharan. National income Africa, Southern Accounting. International Studies. Political Science & Political History. POLITICAL SCIENCE / Political Economy. bisacsh aftican economical development, african political economy, reliability of statistics, developing countries, development resources, world bank, statistical error. Title is part of eBook package: De Gruyter Cornell University Press Backlist 2000-2013 9783110536157 https://doi.org/10.7591/9780801467615 https://www.degruyter.com/isbn/9780801467615 Cover https://www.degruyter.com/document/cover/isbn/9780801467615/original |
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English |
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eBook |
author |
Jerven, Morten, Jerven, Morten, |
spellingShingle |
Jerven, Morten, Jerven, Morten, Poor Numbers : How We Are Misled by African Development Statistics and What to Do about It / Cornell Studies in Political Economy Frontmatter -- Contents -- Illustrations -- Preface -- Acknowledgments -- Introduction -- 1. What Do We Know about Income and Growth in Africa? -- 2. Measuring African Wealth and Progress -- 3. Facts, Assumptions, and Controversy -- 4. Data for Development -- Conclusion. Development by Numbers -- Appendix A. A Comparison of GDP Estimates from the World Development Indicators Database and Country Estimates -- Appendix B. Details of Interviews and Questionnaires -- Notes -- References -- Index |
author_facet |
Jerven, Morten, Jerven, Morten, |
author_variant |
m j mj m j mj |
author_role |
VerfasserIn VerfasserIn |
author_sort |
Jerven, Morten, |
title |
Poor Numbers : How We Are Misled by African Development Statistics and What to Do about It / |
title_sub |
How We Are Misled by African Development Statistics and What to Do about It / |
title_full |
Poor Numbers : How We Are Misled by African Development Statistics and What to Do about It / Morten Jerven. |
title_fullStr |
Poor Numbers : How We Are Misled by African Development Statistics and What to Do about It / Morten Jerven. |
title_full_unstemmed |
Poor Numbers : How We Are Misled by African Development Statistics and What to Do about It / Morten Jerven. |
title_auth |
Poor Numbers : How We Are Misled by African Development Statistics and What to Do about It / |
title_alt |
Frontmatter -- Contents -- Illustrations -- Preface -- Acknowledgments -- Introduction -- 1. What Do We Know about Income and Growth in Africa? -- 2. Measuring African Wealth and Progress -- 3. Facts, Assumptions, and Controversy -- 4. Data for Development -- Conclusion. Development by Numbers -- Appendix A. A Comparison of GDP Estimates from the World Development Indicators Database and Country Estimates -- Appendix B. Details of Interviews and Questionnaires -- Notes -- References -- Index |
title_new |
Poor Numbers : |
title_sort |
poor numbers : how we are misled by african development statistics and what to do about it / |
series |
Cornell Studies in Political Economy |
series2 |
Cornell Studies in Political Economy |
publisher |
Cornell University Press, |
publishDate |
2013 |
physical |
1 online resource (208 p.) : 12 tables, 2 charts |
contents |
Frontmatter -- Contents -- Illustrations -- Preface -- Acknowledgments -- Introduction -- 1. What Do We Know about Income and Growth in Africa? -- 2. Measuring African Wealth and Progress -- 3. Facts, Assumptions, and Controversy -- 4. Data for Development -- Conclusion. Development by Numbers -- Appendix A. A Comparison of GDP Estimates from the World Development Indicators Database and Country Estimates -- Appendix B. Details of Interviews and Questionnaires -- Notes -- References -- Index |
isbn |
9780801467615 9783110536157 |
callnumber-first |
H - Social Science |
callnumber-subject |
HC - Economic History and Conditions |
callnumber-label |
HC800 |
callnumber-sort |
HC 3800 J47 42013 |
geographic_facet |
Africa, Sub-Saharan Africa, Sub-Saharan. Africa, Southern |
url |
https://doi.org/10.7591/9780801467615 https://www.degruyter.com/isbn/9780801467615 https://www.degruyter.com/document/cover/isbn/9780801467615/original |
illustrated |
Not Illustrated |
dewey-hundreds |
300 - Social sciences |
dewey-tens |
330 - Economics |
dewey-ones |
338 - Production |
dewey-full |
338.967 |
dewey-sort |
3338.967 |
dewey-raw |
338.967 |
dewey-search |
338.967 |
doi_str_mv |
10.7591/9780801467615 |
oclc_num |
827455689 |
work_keys_str_mv |
AT jervenmorten poornumbershowwearemisledbyafricandevelopmentstatisticsandwhattodoaboutit |
status_str |
n |
ids_txt_mv |
(DE-B1597)515850 (OCoLC)827455689 |
carrierType_str_mv |
cr |
hierarchy_parent_title |
Title is part of eBook package: De Gruyter Cornell University Press Backlist 2000-2013 |
is_hierarchy_title |
Poor Numbers : How We Are Misled by African Development Statistics and What to Do about It / |
container_title |
Title is part of eBook package: De Gruyter Cornell University Press Backlist 2000-2013 |
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