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Authors = William Nordhaus

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11 pages, 1515 KiB  
Letter
VIIRS Nighttime Lights in the Estimation of Cross-Sectional and Time-Series GDP
by Xi Chen and William D. Nordhaus
Remote Sens. 2019, 11(9), 1057; https://doi.org/10.3390/rs11091057 - 5 May 2019
Cited by 101 | Viewed by 10705
Abstract
This study extends previous applications of DMSP OLS nighttime lights data to examine the usefulness of newer VIIRS lights in the estimation of economic activity. Focusing on both US states and metropolitan statistical areas (MSAs), we found that the VIIRS lights are more [...] Read more.
This study extends previous applications of DMSP OLS nighttime lights data to examine the usefulness of newer VIIRS lights in the estimation of economic activity. Focusing on both US states and metropolitan statistical areas (MSAs), we found that the VIIRS lights are more useful in predicting cross-sectional GDP than predicting time-series GDP data. This result is similar to previous findings for DMSP OLS nighttime lights. Additionally, the present analysis shows that high-resolution VIIRS lights provide a better prediction for MSA GDP than for state GDP, which suggests that lights may be more closely related to urban sectors than rural sectors. The results also indicate the importance of considering biases that may arise from different aggregations (the modifiable areal unit problems, MAUP) in applications of nighttime lights in understanding socioeconomic phenomenon. Full article
(This article belongs to the Collection Visible Infrared Imaging Radiometers and Applications)
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11 pages, 716 KiB  
Article
A Test of the New VIIRS Lights Data Set: Population and Economic Output in Africa
by Xi Chen and William Nordhaus
Remote Sens. 2015, 7(4), 4937-4947; https://doi.org/10.3390/rs70404937 - 22 Apr 2015
Cited by 102 | Viewed by 11234
Abstract
The present study analyses the new Visible Infrared Imaging Radiometer Suite (VIIRS) lights data to determine whether it can provide more accurate proxies for socioeconomic data in areas with poor quality data than proxies based on stable lights. Our analysis indicates that VIIRS [...] Read more.
The present study analyses the new Visible Infrared Imaging Radiometer Suite (VIIRS) lights data to determine whether it can provide more accurate proxies for socioeconomic data in areas with poor quality data than proxies based on stable lights. Our analysis indicates that VIIRS lights are a promising supplementary source for standard measures on population and economic output at a small scale, especially for low population and economic density areas in Africa. The current analysis also suggests that in comparison to stable lights generated by the DMSP-OLS system, data generated by the VIIRS system provide more information to estimate population than output index. However, further analysis and formal statistical models are needed to evaluate the usefulness of VIIRS lights versus other lights products. With more advanced methods, there is also a potential to generate a synthetic index by combining different lights products to produce a better proxy measure for other indexes. Full article
(This article belongs to the Special Issue Remote Sensing with Nighttime Lights)
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