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Better Night Lights Data, For Longer

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  • John Gibson

Abstract

Night lights data are increasingly used in applied economics, almost always from the Defense Meteorological Satellite Program (DMSP). These data are old, with production ending in 2013, and are flawed by blurring, lack of calibration and top‐coding. These inaccuracies in DMSP data cause mean‐reverting errors. This paper shows newer and better VIIRS night lights data have 80% higher predictive power for real GDP in a cross‐section of 269 European NUTS2 regions. Spatial inequality is greatly understated with DMSP data, especially for the most densely populated regions. A Pareto correction for top‐coding of DMSP data has a modest effect.

Suggested Citation

  • John Gibson, 2021. "Better Night Lights Data, For Longer," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(3), pages 770-791, June.
    • Handle: RePEc:bla:obuest:v:83:y:2021:i:3:p:770-791
    DOI: 10.1111/obes.12417
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    References listed on IDEAS

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    More about this item

    JEL classification:

    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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