Saturday, 5 June 2010

Poor Numbers Reviews

Poor Numbers



Author: Morten Jerven
Edition:
Publisher: Cornell University Press
Binding: Paperback
ISBN: 080147860X
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Poor Numbers: How We Are Misled by African Development Statistics and What to Do about It (Cornell Studies in Political Economy)



One of the most urgent challenges in African economic development is to devise a strategy for improving statistical capacity.Poor Numbers review. 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 statisticsRead full reviews of Poor Numbers: How We Are Misled By African Development Statistics And What To Do.

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Poor Numbers by Morten Jerven
Poor Numbers : Paperback : Cornell University Press : 9780801478604 : 080147860X : 19 Feb 2013 : Poor Numbers is the first analysis of the production and use of African economic development statistics.

Poor Numbers: How We Are Misled By African Development Statistics And What To Do
author morten jerven format paperback language english publication year 24 01 2013 series cornell studies in political economy subject management business economics industry subject 2 economics textbooks study guides title poor numbers how we are misled by african development statistics and what to do about it author jerven morten publisher cornell univ pr publication date apr 02 2013 pages 176 binding paperback dimensions 6 00 wx 9 00 hx 0 75 d isbn 080147860 x subject political science histo

Poor Numbers: How We Are Misled By African Development Statistics and What to Do About It


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Observations On The Number And Misery Of The Poor: On T
Store Search search Title, ISBN and Author Observations on the Number and Misery of the Poor: on the Heavy Rates Levied for Their Maintenance: And, on the General Causes of Poverty: Including S by See Notes Multiple Contributors Estimated delivery 3-12 business days Format Paperback Condition Brand New The 18th century was a wealth of knowledge, exploration and rapidly growing technology and expanding record-keeping made possible by advances in the printing press. In its determination to preser



Poor Numbers Reviews


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.



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