GSEM Regression Analyses: Climate-Smart Agriculture and Poverty in Central Ethiopia

Siltie Zone, Central Ethiopia, is the geographic scope of this cross-sectional study of 416 smallholder farmers. The dataset, created by Jemil Yasin Shifa and last updated in May 2026, contains regression analyses investigating the effect of Climate-Smart Agriculture adoption on multidimensional poverty reduction.

Use Cases

• Modeling the relationship between CSA adoption and poverty reduction based on the described regression analyses.
• Analyzing the intensity of CSA practice adoption as described in the study.
• Replicating or validating the construction of a multidimensional poverty index (MPI) as mentioned in the description.
• Assessing potential endogeneity in agricultural adoption studies using the GSEM, 2SLS, and PSM methods referenced.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• Analysis is based on a specific sample of 416 smallholder farmers.
• Study addresses a defined research gap regarding empirical evidence on CSA and multidimensional poverty.

Limitations

• Row count and column-level documentation are unknown, which limits suitability assessment.
• The dataset is very small at 9.5 KB, indicating limited scope.
• Description metadata is limited; actual data quality and structure require manual inspection after download.

Provenance

Source

figshare

Collection Method

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

Time Range

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Freshness

Last updated 2026-05-04 17:36:13; freshness should be verified.

Geography

Siltie Zone, Central Ethiopia