ID: 848
/ 11-12: 1
Individual Papers
Topics: Economic research and impact evaluationKeywords: Cassava, Production, Yield, Harvest Diaries, Recall, Crop Cutting, Household Surveys, Malawi
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
ID: 968
/ 11-12: 2
Individual Papers
Topics: Economic research and impact evaluationKeywords: DNA fingerprinting, Varietal Adoption, DArTseq, Malawi
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
ID: 609
/ 11-12: 3
Individual Papers
Topics: Use of remote sensing and land use policyKeywords: agriculture, land measurement, remote sensing, survey methods
Land measurement bias: comparisons from GPS, self-reports and satellite data
Andrew Dillon1, Lakshman Nagraj Rao2
1Northwestern University, USA; 2Asian Development Bank, Philippines
ID: 1004
/ 11-12: 4
Individual Papers
Topics: Use of remote sensing and land use policyKeywords: Yield Measurement Errors, Inverse scale-productivity relationship, Remote Sensing, Household Surveys, Mali
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
ID: 1032
/ 11-12: 5
Individual Papers
Topics: New ways of land data capture & analysis (incl. machine learning)Keywords: Soil Quality, Soil Testing, Geospatial Data, Household Survey, Agriculture
From the ground up: integrating survey and geospatial data for improved soil fertility measurement at scale
Sydney Gourlay, Talip Kilic
World Bank, Italy
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