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; IFPRI-KM; Jovanovic, Nina; Ricker-Gilbert, Jacob; CGIAR Initiative on National Policies and Strategies; Development Strategies and Governance Unit

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"

2025

International Food Policy Research Institute (IFPRI) | IFPRI-KM | Jovanovic, Nina (International Food Policy Research Institute (IFPRI)) | Ricker-Gilbert, Jacob (Purdue University) | CGIAR Initiative on National Policies and Strategies | Development Strategies and Governance Unit

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.

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