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Replication data for: Costing a Data Revolution

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Replication data for: Costing a Data Revolution
 
Identifier https://doi.org/10.7910/DVN/27667
 
Creator Demombynes, Gabriel
Sandefur, Justin
 
Publisher Harvard Dataverse
 
Description The lack of reliable development statistics for many poor countries has led the U.N. to call for a "data revolution" (United Nations, 2013). One fairly narrow but widespread interpretation of this revolution is for international aid donors to fund a coordinated wave of household surveys across the developing world, tracking progress on a new round of post-2015 Sustainable Development Goals. We use data from the International Household Survey Network (IHSN) to show (i) the supply of household surveys has accelerated dramatically over the past 30 years and that (ii) demand for survey data appears to be higher in democracies and more aid-dependent countries. We also show that given existing international survey programs, the cost to international aid donors of filling remaining survey gaps is manageable--on the order of $300 million per year. We argue that any aid-financed expansion of household surveys should be complemented with (a) increased access to data through open data protocols, and (b) simultaneous support for the broader statistical system, including routine administrative data systems.
 
Subject household surveys
national statistics
open data
Sustainable Development
aid
 
Date 2014-10