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11-12: Gathering the data needed to assess large farm productivity
Time:
Thursday, 28/Mar/2019:
2:00pm - 3:30pm
Session Chair: Daniel Ayalew Ali, World Bank, United States of America
Location:MC C1-200
Presentations
Root for the tubers: extended-harvest crop production and productivity measurement in surveys
Heather Moylan1, Talip Kilic1, John Ilukor1, Innocent Phiri2, Clement Mtengula3
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
John Ilukor1,2, Talip Kilic1, James Stevenson2, Heather Moylan1, Andrzej Kilian3, Frédéric Kosmowski2, Alexander Nganga4, Albert Mhone5,6
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
Andrew Dillon1, Lakshman Nagraj Rao2
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
Ismael Yacoubou Djima, Talip Kilic, Sydney Gourlay
The World Bank, Italy
From the ground up: integrating survey and geospatial data for improved soil fertility measurement at scale
