Maternal Education Effects on Rural Child Literacy-Numeracy Development

Comprising estimates for the average treatment effect on the treated (ATT) of maternal education on early childhood literacy-numeracy development in rural areas. It was authored by Md Akter Hosen and last updated in March 2026. The dataset is small, with a file size of 5.5 KB.

Use Cases

• Estimate the causal effect of maternal education on child literacy-numeracy development using the ATT metric for rural subgroups.
• Conduct subgroup analyses to explore heterogeneity in treatment effects across different rural populations.
• Apply the dataset's findings on balancing observed covariates to strengthen causal inference in similar educational studies.
• Use the ATT estimates to inform policy targeting early childhood development in rural areas.

Strengths

• Dataset is openly licensed under CC BY 4.0, facilitating reuse and sharing.
• Focuses on a specific causal relationship (maternal education on child development) in a defined geographic context (rural areas).
• Explicitly addresses methods to reduce selection bias and strengthen causal inference.

Limitations

• The dataset is very small (5.5 KB), indicating limited scope and likely a summary of results rather than raw observational data.
• No column names, sample data, or row count are provided, limiting understanding of the data structure and analytical depth.
• The description is minimal, offering no details on sample size, methodology for calculating ATT, or specific variables used beyond the core relationship.

Provenance

Source

figshare, authored by Md Akter Hosen.

Collection Method

Analysis likely based on statistical methods (e.g., propensity score matching) to estimate Average Treatment Effect on the Treated (ATT).

Freshness

Last updated March 2026.

Geography

Rural areas (specific country or region not specified).