英文标题：
《Estimating the Impact of Weather on Agriculture》
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作者：
Jeffrey D. Michler, Anna Josephson, Talip Kilic, Siobhan Murray
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最新提交年份：
2021
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英文摘要：
  This paper quantifies the significance and magnitude of the effect of measurement error in remote sensing weather data in the analysis of smallholder agricultural productivity. The analysis leverages 17 rounds of nationally-representative, panel household survey data from six countries in Sub-Saharan Africa. These data are spatially-linked with a range of geospatial weather data sources and related metrics. We provide systematic evidence on measurement error introduced by 1) different methods used to obfuscate the exact GPS coordinates of households, 2) different metrics used to quantify precipitation and temperature, and 3) different remote sensing measurement technologies. First, we find no discernible effect of measurement error introduced by different obfuscation methods. Second, we find that simple weather metrics, such as total seasonal rainfall and mean daily temperature, outperform more complex metrics, such as deviations in rainfall from the long-run average or growing degree days, in a broad range of settings. Finally, we find substantial amounts of measurement error based on remote sensing product. In extreme cases, data drawn from different remote sensing products result in opposite signs for coefficients on weather metrics, meaning that precipitation or temperature draw from one product purportedly increases crop output while the same metrics drawn from a different product purportedly reduces crop output. We conclude with a set of six best practices for researchers looking to combine remote sensing weather data with socioeconomic survey data.
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中文摘要：
本文量化了遥感气象数据中测量误差对小农农业生产力分析的重要性和影响程度。该分析利用了撒哈拉以南非洲六个国家17轮具有全国代表性的小组家庭调查数据。这些数据在空间上与一系列地理空间天气数据源和相关指标相关联。我们提供了测量误差的系统证据：1）用于模糊家庭精确GPS坐标的不同方法，2）用于量化降水和温度的不同指标，以及3）不同的遥感测量技术。首先，我们发现不同的模糊处理方法对测量误差没有明显的影响。第二，我们发现，简单的天气指标，如总季节降雨量和平均日温度，在广泛的环境中优于更复杂的指标，如降雨量与长期平均日数或增长日数的偏差。最后，我们发现了大量基于遥感产品的测量误差。在极端情况下，来自不同遥感产品的数据会导致气象指标系数的符号相反，这意味着来自一种产品的降水量或温度据称会增加作物产量，而来自不同产品的相同指标据称会减少作物产量。最后，我们为希望将遥感天气数据与社会经济调查数据相结合的研究人员提供了六种最佳实践。
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分类信息：

一级分类：Economics        经济学
二级分类：General Economics        一般经济学
分类描述：General methodological, applied, and empirical contributions to economics.
对经济学的一般方法、应用和经验贡献。
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一级分类：Quantitative Finance        数量金融学
二级分类：Economics        经济学
分类描述：q-fin.EC is an alias for econ.GN. Economics, including micro and macro economics, international economics, theory of the firm, labor economics, and other economic topics outside finance
q-fin.ec是econ.gn的别名。经济学，包括微观和宏观经济学、国际经济学、企业理论、劳动经济学和其他金融以外的经济专题
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