Alternative Poverty Measures for Educational Research and Program Evaluation

Anja Kurki's research dataset explores poverty metrics beyond traditional income-based measures. The data likely contains variables for alternative poverty indicators relevant to educational outcomes. It is published on the paperswithcode platform, which aggregates resources for AI/ML practitioners.

Use Cases

• Benchmarking educational outcomes against multidimensional poverty indices (inferred from domain, verify after download)
• Training models to predict program success using non-monetary poverty factors (inferred from domain, verify after download)
• Analyzing the correlation between alternative poverty measures and student performance (inferred from domain, verify after download)

Strengths

• Published on the paperswithcode platform, which aggregates peer-reviewed research resources.
• Authored by a named researcher, Anja Kurki.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file format, and sample data are unknown, limiting suitability assessment.

Provenance

Source

paperswithcode