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A sharper image? Estimates of the precision of nighttime lights as a proxy for economic statistics

机译:图像更清晰?估算夜间照明的精度,以替代经济统计数据

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摘要

Much aggregate social-science analysis relies upon the standard national income and product accounts as a source of economic data. These are recognized to be defective in many poor countries, and are missing at the regional level for large parts of the world. Using updated luminosity (or nighttime lights) data, the present study examines whether such data contain useful information for estimating national and regional incomes and output. The bootstrap method is used for estimating the statistical precision of the estimates of the contribution of the lights proxy. We conclude that there may be substantial cross-sectional information in lights data for countries with low-quality statistical systems. However, lights data provide very little additional information for countries with high-quality data wherever standard data are available. The largest statistical concerns arise from uncertainties about the precision of standard national accounts data.
机译:很多社会科学综合分析都依靠标准国民收入和产品账户作为经济数据的来源。在许多贫困国家中,这些缺陷被认为是有缺陷的,在世界大部分地区,这些缺陷在区域一级是缺失的。使用最新的光度(或夜间照明)数据,本研究检查了这些数据是否包含有用的信息,以估计国家和地区的收入和产出。自举方法用于估计灯光代理贡献的估算值的统计精度。我们得出结论,对于统计系统质量低下的国家,灯光数据中可能存在大量的横截面信息。但是,对于具有高质量数据的国家/地区,只要有可用的标准数据,灯光数据几乎不会提供额外的信息。最大的统计关注来自标准国民账户数据准确性的不确定性。

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