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Estimating the Impact of Weather on Agriculture

Jeffrey Michler, Anna Josephson, Talip Kilic and Siobhan Murray

Papers from arXiv.org

Abstract: 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.

Date: 2020-12, Revised 2021-10
New Economics Papers: this item is included in nep-agr, nep-big, nep-cwa and nep-dev
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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http://arxiv.org/pdf/2012.11768 Latest version (application/pdf)

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Working Paper: Estimating the Impact of Weather on Agriculture (2021) Downloads
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