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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. The paper provides 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, the analysis finds no discernible effect of measurement error introduced by different obfuscation methods. Second, it finds 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, the analysis finds substantial amounts of measurement error based on remote sensing products. In extreme cases, the data drawn from different remote sensing products result in opposite signs for coefficients on weather metrics, meaning that precipitation or temperature drawn from one product purportedly increases crop output while the same metrics drawn from a different product purportedly reduces crop output. The paper concludes with a set of six best practices for researchers looking to combine remote sensing weather data with socioeconomic survey data.

This paper documents the positive link between the noncognitive skills of women farmers and the adoption of a cash crop. The context is Malawi, one of the poorest countries in the world, where the majority of rural households practice subsistence farming. The analysis finds that a one standard deviation increase in noncognitive ability related to perseverance is associated with a five percentage point (or 33 percent) increase in the probability of adoption of the main cash crop. This link is not explained by differences across women in education and cognitive skills. It is also not explained by the fact that women with higher noncognitive ability tend to be married to husbands of higher noncognitive ability and education. The effect of female noncognitive skills on adoption is concentrated in patrilocal communities, where women face greater adversity and thus where it would be expected that the returns to such skills would be highest. One main channel through which noncognitive skills seem to work is through the use of productive inputs, including higher levels of labor, fertilizer, and agricultural advice services. This paper documents the positive link between the noncognitive skills of women farmers and the adoption of a cash crop. The context is Malawi, one of the poorest countries in the world, where the majority of rural households practice subsistence farming. The analysis finds that a one standard deviation increase in noncognitive ability related to perseverance is associated with a five percentage point (or 33 percent) increase in the probability of adoption of the main cash crop. This link is not explained by differences across women in education and cognitive skills. It is also not explained by the fact that women with higher noncognitive ability tend to be married to husbands of higher noncognitive ability and education. The effect of female noncognitive skills on adoption is concentrated in patrilocal communities, where women face greater adversity and thus where it would be expected that the returns to such skills would be highest. One main channel through which noncognitive skills seem to work is through the use of productive inputs, including higher levels of labor, fertilizer, and agricultural advice services.