Maternal Education Impact on Child Literacy and Numeracy Development

This dataset analyzes the causal relationship between a mother's education level and the literacy-numeracy development of children, including subgroup analyses for rural and urban areas. It contains data used to calculate the Average Treatment Effect on the Treated (ATT) and to reduce selection bias. The dataset is 5.5 KB in size.

Use Cases

• Estimate the Average Treatment Effect of mother's education on child literacy-numeracy development using propensity score matching.
• Conduct subgroup analyses to compare treatment effects between children in rural areas and urban areas.
• Assess heterogeneity in the causal relationship by examining covariates balanced across subgroups.
• Strengthen causal inference by evaluating the quality of matching for observed covariates.

Strengths

• Dataset is openly licensed under CC BY 4.0.
• Focuses on a specific causal inference method (ATT) for a defined research question.
• Includes subgroup analyses for rural and urban areas.

Limitations

• The dataset is very small at 5.5 KB, indicating limited scope and sample size.
• Specific row count, column names, and sample data are unavailable, limiting analytical transparency.
• The temporal and geographic coverage of the underlying study data is not specified.

Provenance

Source

figshare

Collection Method

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Time Range

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Freshness

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Geography

Analysis includes subgroups for rural areas and urban areas, but specific country/region is unknown.