The Financial Times focus on what the recent Africa data debates means for investors. The Africa report maps that different statistical offices have reacted to the debates in quite different ways. In the blog Bottom Up Thinking the author notes that the access to...
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Category: Poor Numbers
The great African data debate
Not my words, but that's what UNU-Wider calls it. As I written before I think that it is true that some countries have better data that are available through household surveys. BUT: not all of these are comparable, and availability is NOT random, hence...
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The speech I was blocked from delivering at UNECA…
Is now published at African Arguments. I also respond in full to some of the politics of discussing African statistics in a separate post here. This is all follows the story that broke last week on Poor Numbers being censored from UNECA.
Africa: Measuring success @ Oxford Analytica Confernence 18-20 September
That's the title of the panel I am invited to speak on at a conference organized by Oxford Analytica, 18-20 September. I am on a panel with Diana Layfield, a Chief Executive Officer of Standard Chartered Africa, Michael Lalor from Ernst and Young (and...
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Booktalk in Edinburgh, 18th Sep 16:00 – 18:00
On Wednesday I give a talk in Edinburgh. It is hosted by the Centre of African Studies. The details are here.
Booktalk at the University of Michigan Tuesday 10 Sep at 4 pm
I am presenting my book at the University of Michigan Tuesday 10 Sep at 4 pm. The talk is hosted by the Department of Afroamerican and African Studies.Details here.
Back to school: 5 books about Africa you should be reading
According to the recommendations by the ONE Campaign . The list includes recent books by Bill Clinton; Chimamanda Ngozi; Adichie Abhijit V. Banerjee and Esther Duflo; and Taiye Selasi as well as Poor Numbers.
Center for Data Innovation
comments on Poor Numbers.
Numbers and statistics can be very deceitful…
...writes David F. K. Mpanga in the Uganda Monitor. He discusses Poor Numbers, and particular its relevance for labour statistics in Uganda.
Ken Opalo on Poor Numbers in Kenya
Governing a country is hard. Developing a poor country is even harder. Trying to do both with little reliable information on the state of a country — like total agricultural output, unemployment rate, births and deaths, and the like — is like flying without...
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