Session | ||
11-12: Gathering the data needed to assess large farm productivity
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Presentations | ||
Root for the tubers: extended-harvest crop production and productivity measurement in surveys 1The World Bank, Italy; 2University of Malawi; 3Consultant How much can we trust farmer self-reported data on crop varieties? Experimental evidence using DNA fingerprinting of cassava varieties in Malawi 1The Living Standards Measurement Study, Development Data Group, the World Bank, Italy; 2CGIAR Independent Science and Partnership Council’s Standing Panel on Impact Assessment, Italy; 3University of Canberra, Australia; 4International Institute of Tropical Agriculture Malawi; 5Chitedze National Agricultural Research Institute, Malawi; 6CAVA2, Malawi Land measurement bias: comparisons from GPS, self-reports and satellite data 1Northwestern University, USA; 2Asian Development Bank, Philippines Assessing the impact of systematic measurement error in farmer-reported crop production on the scale-productivity relationship: evidence from a survey experiment in Mali The World Bank, Italy From the ground up: integrating survey and geospatial data for improved soil fertility measurement at scale World Bank, Italy |