Propensity Score Distribution for Climate-Smart Agriculture and Poverty Study in Ethiopia

416 smallholder farmers from the Siltie Zone, Central Ethiopia, were surveyed in a cross-sectional study investigating Climate-Smart Agriculture adoption. The dataset, created by Jemil Yasin Shifa and last updated in May 2026, likely contains estimated propensity scores used for analysis via GSEM, 2SLS, and PSM methods. The study constructed a Multidimensional Poverty Index to measure deprivations across different dimensions.

Use Cases

• Replicate propensity score matching analysis based on CSA adoption and poverty metrics mentioned in the description
• Study the relationship between agricultural practice intensity and multidimensional poverty based on the constructed index
• Analyze potential endogeneity in development economics research based on the GSEM and 2SLS approaches used

Strengths

• Data is derived from a specific survey of 416 smallholder farmers, providing a concrete sample size.
• The study employs multiple analytical approaches (GSEM, 2SLS, PSM) to address endogeneity, suggesting methodological rigor.
• The dataset has a clear CC-BY-4.0 license, facilitating open reuse and redistribution.

Limitations

• Row count is unknown, which may limit suitability assessment for certain modeling tasks.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 9.5 KB file size indicates a very small dataset, likely containing summary or analytical outputs rather than raw survey data.

Provenance

Source

figshare

Collection Method

Cross-sectional data collected from smallholder farmers using a multi-stage sampling procedure.

Time Range

null

Freshness

Last updated 2026-05-04 17:36:09; freshness should be verified.

Geography

Siltie Zone, Central Ethiopia