EMPIRICALLY ESTIMATING THE IMPACT OF WEATHER ON AGRICULTURE
This research explores the consequences of measurement error in satellite weather data on estimates of agricultural production. We combine plot-level production data from the Living Standards Measurement Study - Integrated Surveys on Agriculture (LSMS-ISA) with weather data from seven different satellite sources to explore the consequences of several types of measurement error. These include inaccuracies due to measurement technology, due to the spatial resolution of the data, due to obfuscation of household GPS coordinates, and due to the use of inappropriate weather metrics.
Collaborators: Anna Josephson (University of Arizona), Talip Kilic (World Bank), and Siobhan Murray (World Bank)
Funding: World Bank Group
 
21ST INTRA-HOUSEHOLD DYNAMICS, AGRICULTURE, FOOD SECURITY, AND COVID-19
COVID-19 has impacted agricultural supply chains across the globe and initial reports suggest that the effects of the pandemic in Sub-Saharan Africa may be particularly pronounced. This work uses the recently generated data from the LSMS COVID-19 phone surveys to investigate conditions in Africa, focusing on the outcomes of the COVID-19 pandemic, livelihood diversification and agricultural sector participation, and food security before the pandemic, as well as household decision-making, bargaining, and equity and the relationship with household coping, mitigating, and surviving COVID-19.
Collaborators: Anna Josephson (University of Arizona), Talip Kilic (World Bank), and Jeffrey Bloem (USDA ERS)
Funding: World Bank Group

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