1. Costing a Data Revolution
- Author:
- Gabriel Demombynes and Justin Sandefur
- Publication Date:
- 10-2014
- Content Type:
- Working Paper
- Institution:
- Center for Global Development
- Abstract:
- 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.
- Topic:
- Development, Human Welfare, and Infrastructure
- Political Geography:
- Asia and United Nations