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5 - Data Revolution: The Cost and Benefit of Data Needed to Monitor the Post-2015 Development Agenda

Published online by Cambridge University Press:  30 May 2018

Morten Jerven
Affiliation:
Associate Professor in School of International Studies, Simon Fraser University, Burnaby, British Columbia, Canada
Bjorn Lomborg
Affiliation:
Copenhagen Business School
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Summary

Introduction

The UN High-Level Panel (HLP) has called for a data revolution. The world's population should be counted, measured, weighed, and evaluated. This information should be collected, compiled, aggregated, and presented in such a form that it can usefully inform policy makers and citizens in aggregated forms and disaggregated according to region, village, gender, and population group.

There is no automatic connection between having correct information and making the right policy choice. It is tempting to conclude that we have been making wrong decisions because we have not had the right information, but it contains an unstated assumption that the chief constraint in policy making has been a lack of information. That may be a wrong assumption to make, but we will ignore that for a second, as this chapter's primary focus is on the cost of data revolution, rather than the benefits of a data revolution.

The simple starting point taken here is that data do have a cost. So, what are the proportions we are talking about? For a start, let us say it costs roughly 1 dollar per capita to conduct a population census. Without a population census there is no baseline estimate, and the statistical office does not have a sampling frame to conduct all other needed surveys and queries. Should we conduct a worldwide population census in 2015 that would cost about $7 billion? If the census were covered entirely by ODA, it would take a quarter of the USAID budget and eat up the combined budgets of Norway and Denmark.

But that may be a conservative estimate. The cost of censuses obviously varies – from 0.40 dollar per capita in India, and 1 dollar per capita in China to the United States’ last census that cost $13 billion, or about $42 per head (The Economist, 2011). These censuses form the baseline for most kinds of sampled based surveys to measure per capita trends in social and economic development.

The data revolution will have a considerable cost – yet the cost of data has so far gone missing in the MDG debates. There is a financial cost of monitoring, but there is also opportunity cost in terms of the competing demands placed on survey capacity.

Type
Chapter
Information
Prioritizing Development
A Cost Benefit Analysis of the United Nations' Sustainable Development Goals
, pp. 91 - 116
Publisher: Cambridge University Press
Print publication year: 2018

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