Bias from farmer self-selection in genetically modified crop productivity estimates: Evidence from Indian data
By Benjamin Crost, B. Shankar, R. Bennett, S. Morse. 2007
128 citations recorded by the source corpus.
Subfields: General Agricultural and Biological Sciences, Molecular Biology, Plant Science
View Paper: https://www.semanticscholar.org/paper/61a0e44bee0be4f7bd99467c0c098f0d4396a21f
How researchers see this paper
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In General Agricultural and Biological Sciences
In Molecular Biology
- M. Qaim
- Glenn Stone
- S. Kouser
- Elaine M. Liu
- Arjunan Subramanian
- Akhter Ali
- Awudu Abdulai
- Wilhelm Klümper
In Plant Science
- M. Qaim
- Glenn Stone
- S. Kouser
- Elaine M. Liu
- Arjunan Subramanian
- Awudu Abdulai
- Akhter Ali
- Wilhelm Klümper
Citations in the corpus
- Impact of Bt cotton on pesticide poisoning in smallholder agriculture: A panel data analysis (2011, methodology): “FE models have recently been used to control for selection bias in different contexts (e.g., Crost et al., 2007; Jorgenson and Birkholz, 2010).”
- The Economics of Genetically Modified Crops (2009, methodology): “One study by Crost et al. (2007) also used panel data techniques for the estimation of Bt productivity effects.”
- The Adoption of Genetically Modified Cotton and Poverty Reduction in Pakistan (2010, methodology): “Crost et al. (2007) also employ a fixed effects approach to account for selection bias in their analysis of genetically modified crop productivity estimates for Indian cotton farmers.”
- Field versus Farm in Warangal: Bt Cotton, Higher Yields, and Larger Questions (2011, result): “This problem may be mitigated by attempting to statistically adjust for differences in sample groups (Crost et al., 2007), but the results remain much less revealing than an unbiased comparison.”
- Analysis of Adoption and Impacts of Improved Maize Varieties in Eastern Zambia (2015, unknown): “Many of these studies have looked at crops such as maize, groundnuts, and pigeon peas (Asfaw, Shiferaw, Simtowe, & Lipper, 2012; Crost et al., 2007; Kassie et al., 2011).”
- Time to Change What to Sow: Risk Preferences and Technology Adoption Decisions of Cotton Farmers in China (2013, background): “…my sample had occurred in 1993, and by 2004, every farmer in my sample had tried Bt cotton (as evidenced in figure 1).7 The success of Bt cotton is well documented (Bennett, Ismael, & Morse, 2005; Crost et al., 2007; Gandhi & Namboodiri, 2006; Narayanamoorthy & Kalamkar, 2006; Qaim et al., 2006).”
- The Impact of Bt Cotton on Poor Households in Rural India (2008, background): “On average, farmers growing Bt cotton benefit from insecticide savings, higher effective yields through reduced crop losses and net revenue gains, in spite of higher seed prices (Huang et al., 2002; Morse et al., 2004; Qaim and de Janvry, 2005; Gandhi and Namboodiri, 2006; Crost et al., 2007; Dev an”