Category Archives: Poor Numbers

Public talk in Bordeaux 19 FEB 6 PM: Derrière “l’émergence de l’Afrique”. La croissance, une fiction statistique ?

Tweet I am a visiting scholar at “Les Afriques dans le monde” at  Sciences Po Bordeaux in the spring term 2015. This event is public and free, online it is organized by Vincent Bonnecasse – who contributed a chapter in … Continue reading

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Podcast: How poor numbers undermine the fight against poverty

TweetIt is two years since Poor Numbers was published, prescription and I had a nice conversation with Tom Paulson and Gabe Spitzer at Humanosphere. You can listen to the podcast here. We talked about the importance of getting good evidence, … Continue reading

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Overcoming Obstacles to Doing Business in Sub-Saharan Africa

TweetI am invited to offer my comments by Aubrey Hubry who argues: that inadequate infrastructure, there lack of market data, pills and poor policy implementation impede investment in Africa, healing despite growing opportunities to do so profitably The event takes … Continue reading

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Without a statistical revolution, Africa’s renaissance is built on shaky ground

TweetThat is the title of a summary of the debates on the current African growth data written up by Ian Fraser. He is a financial journalist and the author of Shredded: Inside RBS: The Bank that Broke Britain- read the … Continue reading

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What if everything we know about poor countries’ economies is totally wrong?

TweetThe results of a phone interview with Dylan Matthews at VOX. Read the full interview here.

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Whose numbers?

TweetThat’s the title of an article written by Adewale Maja-Pearce. He takes stock of the debate on Poor Numbers (between me and some representatives from some statistical offices) – and relates it to the problems of counting people in Nigeria … Continue reading

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Five reasons why African growth is slower than the data tell you

TweetOne of the things my  book Poor Numbers suggested, tadalafil was that the rise of Africa might not be as impressive as the data tells you. The African Development Bank responded by saying there was nothing to worry about: the … Continue reading

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Are Development Statistics Manipulable ?

TweetThat is the question we explore in a new paper I have written with Andrew Kerner and Alison Beatty. Both political scientist at University of Michigan.  Most of you would know that there is a GDP per capita threshold that … Continue reading

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Is the FT Nit-Piketty?

TweetThe saga on the data problems in Piketty’s book continues. Giles responds to the debate that has been unfolding, and notes that the academic community has as a whole been rather forgiving of Piketty, but that in Giles’ view: Academic … Continue reading

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Economic data ‘came out of thin air’

TweetNo, this is not another reflection from my research on economic data on African economies, but the allegations by Chris Giles in the Financial Times against the inequality data used in Thomas Piketty’s bestselling book. Giles shows that Piketty has … Continue reading

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