国防气象卫星计划
环境科学
气象学
计算机科学
气候学
卫星
地理
工程类
地质学
航空航天工程
出处
期刊:RePEc: Research Papers in Economics - RePEc
日期:2020-01-01
被引量:1
摘要
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 almost 300 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.
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