The Value of Luminosity Data as a Proxy for Economic Statistics

44 Pages Posted: 26 Aug 2010

See all articles by Xi Chen

Xi Chen

Yale School of Public Health - Department of Health Policy and Management; Yale University - Yale Institution for Social and Policy Studies

William D. Nordhaus

Yale University - Department of Economics; Cowles Foundation, Yale University; National Bureau of Economic Research (NBER)

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Date Written: August 26, 2010

Abstract

One of the pervasive issues in social and environmental research has been to improve the quality of socioeconomic data in developing countries. Because of the shortcoming of standard data sources, the present study examines luminosity (measures of nighttime lights) as a proxy for standard measures of output. The paper compares output and luminosity at the country levels and at the 1° x 1° grid-cell levels for the period 1992-2008. The results are that luminosity has very little value added for countries with high-quality statistical systems. However, it may be useful for countries with the lowest statistical grades, particularly for war-torn countries with no recent population or economic censuses. The results also indicate that luminosity has more value added for economic density estimates than for time-series growth rates.

Keywords: Luminosity, Proxy Variable, Measurement Error in GDP, Gross Grid-Cell Product

JEL Classification: E01, O47, Q4

Suggested Citation

Chen, Xi and Nordhaus, William D., The Value of Luminosity Data as a Proxy for Economic Statistics (August 26, 2010). Cowles Foundation Discussion Paper No. 1766, Available at SSRN: https://ssrn.com/abstract=1666164 or http://dx.doi.org/10.2139/ssrn.1666164

Xi Chen (Contact Author)

Yale School of Public Health - Department of Health Policy and Management ( email )

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Yale University - Yale Institution for Social and Policy Studies ( email )

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William D. Nordhaus

Yale University - Department of Economics ( email )

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Cowles Foundation, Yale University ( email )

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National Bureau of Economic Research (NBER)

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