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Statisticians use satellite images of Earth’s night lights to measure social and economic activity.

Analysis of geographically granular data is essential to identify vulnerable areas and optimize resource distribution.

Leverage data integration, administrative data, and other targeted methods for data collection and analysis.

Leverage machine learning and satellite imagery for informed resource allocation to enhance road quality and address development challenges.

Pseudo-panel methods using repeated cross-sectional surveys, which are less costly and easier to do, may offer a solution to this problem.