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Updated: Jun 2, 2026
05:50
Measuring Light-Switching Behavior Using an Occupancy and Light Data Logger
Published on: January 16, 2020
Using luminosity data as a proxy for economic statistics.
1Department of Economics, Yale University, New Haven, CT 06520, USA. xi.chen@yale.edu
Summary
Nighttime lights offer valuable socioeconomic data for developing nations lacking reliable economic information. This study shows luminosity can proxy for gross domestic product (GDP) where data is scarce.
Area of Science:
- Socioeconomic research
- Environmental science
- Geospatial analysis
Background:
- Improving socioeconomic data quality in developing countries is crucial for research.
- Standard data sources often have significant shortcomings in these regions.
- Alternative data proxies are needed to supplement traditional methods.
Observation:
- Nighttime light data (luminosity) was analyzed as a proxy for economic output (gross domestic product).
- Comparisons were made at both country and grid-cell (1°x1°) levels.
- Data spanned the period from 1992 to 2008.
Findings:
- Luminosity data demonstrates significant informational value for countries with weak statistical systems.
- This proxy is particularly useful for nations lacking recent population or economic census data.
- A strong correlation exists between luminosity and economic output, especially in data-poor environments.
Implications:
- Nighttime lights can enhance the accuracy of socioeconomic assessments in developing countries.
- This method offers a cost-effective way to estimate economic activity where traditional data is unavailable.
- Findings support the use of satellite-derived data for more robust global development research.
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