Name Measuring Economic Growth with Satellite Data
Source Brown University
Hyperlink to Source https://www.aeaweb.org/articles.php?doi=10.1257/aer.102.2.994
Description The study introduces a statistical framework to use satellite data on night lights to augment official income growth measures. For countries with poor national income accounts, the optimal estimate of growth is a composite with roughly equal weights on conventionally measured growth and growth predicted from lights. The estimates differ from official data by up to three percentage points annually. Using lights, empirical analyses of growth need no longer use countries as the unit of analysis; the team can measure growth for sub- and supranational regions. The researchers show, for example, that coastal areas in sub-Saharan Africa are growing slower than the hinterland.
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Lead Institution Brown University
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Info link https://www.aeaweb.org/articles.php?doi=10.1257/aer.102.2.994
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Type Research
Potential for reuse Medium
Open source N/A
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Maintenance Requirements
Plug & Play N/A
Outputs compatible with indicators from Official Statistics N/A
Status Pilot
Country use cases
Target Groups
Statistical Institute
Other Government Agencies
Sectors where the innovation can be applied
  • Areas of technological innovation
  • Remote Sensing
  • Areas of management practice innovations
    Use of Alternative Data Sources
    Areas of institutional process innovations
    Case Study URL with Public Sector Participation
    Case Study Description
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    Good practices displayed
    Created On 2014-04-12
    Updated On 2014-04-12
    Status Published
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