Replication data for "Estimating the direct and indirect effects of improved seed adoption on yields: Evidence from DNA-fingerprinting, crop cuts, and self-reporting in Ethiopia"
This dataset supports the replication of results presented in "Estimating the Direct and Indirect Effects of Improved Seed Adoption on Yields: Evidence from DNA-Fingerprinting, Crop Cuts, and Self-Reporting in Ethiopia" (2025) by Nina Jovanovic and Jacob Ricker-Gilbert, published in the Journal of D...
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| Formato: | Conjunto de datos |
| Lenguaje: | Inglés |
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International Food Policy Research Institute
2025
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| Acceso en línea: | https://hdl.handle.net/10568/177000 |
| _version_ | 1855539051791122432 |
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| author | International Food Policy Research Institute |
| author_browse | International Food Policy Research Institute |
| author_facet | International Food Policy Research Institute |
| author_sort | International Food Policy Research Institute |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This dataset supports the replication of results presented in "Estimating the Direct and Indirect Effects of Improved Seed Adoption on Yields: Evidence from DNA-Fingerprinting, Crop Cuts, and Self-Reporting in Ethiopia" (2025) by Nina Jovanovic and Jacob Ricker-Gilbert, published in the Journal of Development Economics. The data originates from the 2018/19 Ethiopia Socio-economic Survey conducted by the Central Statistical Agency of Ethiopia.
The dataset combines DNA-fingerprinting of maize seeds, GPS-based plot size measurements, and crop cut data, facilitating robust comparisons with farmers' self-reported data on seed varieties, land area, and harvested quantities.
An accompanying do-file contains the Stata code required to replicate the analysis presented in the paper. The dataset has been cleaned and transformed for analytical purposes, including:
Missing Data Management: Mean imputation for continuous variables.
Outlier Treatment: Winsorized crop yield data.
This comprehensive dataset and code package enable researchers to validate and build upon the study's findings. |
| format | Conjunto de datos |
| id | CGSpace177000 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | International Food Policy Research Institute |
| publisherStr | International Food Policy Research Institute |
| record_format | dspace |
| spelling | CGSpace1770002025-10-10T18:31:46Z Replication data for "Estimating the direct and indirect effects of improved seed adoption on yields: Evidence from DNA-fingerprinting, crop cuts, and self-reporting in Ethiopia" International Food Policy Research Institute crop yield deoxyribonuclease seed technology adoption This dataset supports the replication of results presented in "Estimating the Direct and Indirect Effects of Improved Seed Adoption on Yields: Evidence from DNA-Fingerprinting, Crop Cuts, and Self-Reporting in Ethiopia" (2025) by Nina Jovanovic and Jacob Ricker-Gilbert, published in the Journal of Development Economics. The data originates from the 2018/19 Ethiopia Socio-economic Survey conducted by the Central Statistical Agency of Ethiopia. The dataset combines DNA-fingerprinting of maize seeds, GPS-based plot size measurements, and crop cut data, facilitating robust comparisons with farmers' self-reported data on seed varieties, land area, and harvested quantities. An accompanying do-file contains the Stata code required to replicate the analysis presented in the paper. The dataset has been cleaned and transformed for analytical purposes, including: Missing Data Management: Mean imputation for continuous variables. Outlier Treatment: Winsorized crop yield data. This comprehensive dataset and code package enable researchers to validate and build upon the study's findings. 2025-03-06 2025-10-10T18:31:45Z 2025-10-10T18:31:45Z Dataset https://hdl.handle.net/10568/177000 en https://doi.org/10.1016/j.jdeveco.2025.103466 Open Access International Food Policy Research Institute International Food Policy Research Institute (IFPRI). 2025. Replication data for "Estimating the direct and indirect effects of improved seed adoption on yields: Evidence from DNA-fingerprinting, crop cuts, and self-reporting in Ethiopia". Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/CNLIJO. Harvard Dataverse. Version 1. |
| spellingShingle | crop yield deoxyribonuclease seed technology adoption International Food Policy Research Institute Replication data for "Estimating the direct and indirect effects of improved seed adoption on yields: Evidence from DNA-fingerprinting, crop cuts, and self-reporting in Ethiopia" |
| title | Replication data for "Estimating the direct and indirect effects of improved seed adoption on yields: Evidence from DNA-fingerprinting, crop cuts, and self-reporting in Ethiopia" |
| title_full | Replication data for "Estimating the direct and indirect effects of improved seed adoption on yields: Evidence from DNA-fingerprinting, crop cuts, and self-reporting in Ethiopia" |
| title_fullStr | Replication data for "Estimating the direct and indirect effects of improved seed adoption on yields: Evidence from DNA-fingerprinting, crop cuts, and self-reporting in Ethiopia" |
| title_full_unstemmed | Replication data for "Estimating the direct and indirect effects of improved seed adoption on yields: Evidence from DNA-fingerprinting, crop cuts, and self-reporting in Ethiopia" |
| title_short | Replication data for "Estimating the direct and indirect effects of improved seed adoption on yields: Evidence from DNA-fingerprinting, crop cuts, and self-reporting in Ethiopia" |
| title_sort | replication data for estimating the direct and indirect effects of improved seed adoption on yields evidence from dna fingerprinting crop cuts and self reporting in ethiopia |
| topic | crop yield deoxyribonuclease seed technology adoption |
| url | https://hdl.handle.net/10568/177000 |
| work_keys_str_mv | AT internationalfoodpolicyresearchinstitute replicationdataforestimatingthedirectandindirecteffectsofimprovedseedadoptiononyieldsevidencefromdnafingerprintingcropcutsandselfreportinginethiopia |