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2. Nonclassical Measurement Error and Farmers’ Response to Information Reveal Behavioral Anomalies. (2022). Kilic, Talip ; Ilukor, John ; Barrett, Christopher ; Vundru, Wilbert Drazi ; Abay, Kibrom A ; Moylan, Heather G.
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4. You reap what (you think) you sow? Evidence on farmers’behavioral adjustments in the case of correct crop varietal identification. (2022). Mallia, Paola.
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42. An in‐depth examination of maize yield response to fertilizer in Central Malawi reveals low profits and too many weeds. (2020). Jayne, Thomas ; Burke, William ; Snapp, Sieglinde S.
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43. The inverse farm size-productivity relationship under land size mis-measurement and in the presence of weather and price risks: Panel data evidence from Uganda. (2020). Kostandini, Genti ; Mensah, Edouard R.
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44. Are Small Farms Really more Productive than Large Farms?. (2019). Restuccia, Diego ; Rud, Juan Pablo ; Aragon, Fernando.
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45. Are small farms really more productive than large farms?. (2019). Restuccia, Diego ; Aragon, Fernando ; Rud, Juan Pablo ; Fernando, Diego Restuccia.
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46. What can we learn from experimenting with survey methods?. (2019). Gibson, John ; De Weerdt, Joachim ; Beegle, Kathleen ; Joachim, John Gibson.
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47. Accelerating technical change through video-mediated agricultural extension: Evidence from Ethiopia. (2019). Spielman, David ; Bernard, Tanguy ; Abate, Gashaw ; Makhija, Simrin.
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48. Dis-incentivizing sustainable intensification? The case of Zambia’s maize-fertilizer subsidy program. (2019). Zulu-Mbata, Olipa ; Morgan, Stephen N ; Mason, Nicole M ; Levine, Kendra N.
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49. Agricultural technology adoption and household welfare: Measurement and evidence. (2019). Wossen, Tesfamicheal ; Manyong, Victor ; Abdoulaye, Tahirou ; Feleke, Shiferaw ; Alene, Arega.
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50. A new spin on an old debate: Errors in farmer-reported production and their implications for inverse scale - Productivity relationship in Uganda. (2019). Kilic, Talip ; Gourlay, Sydney ; Lobell, David B.
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