Maternal Education Effects on Urban Child Literacy-Numeracy Development

A collection of estimates of the average treatment effect on the treated (ATT) for the impact of maternal education on early childhood literacy-numeracy development in urban children. The analysis employs methods to strengthen causal inference and reduce selection bias, including subgroup analyses. The data is provided in an XLS file with a size of 5.5 KB.

Use Cases

• Estimate the average treatment effect on the treated (ATT) of maternal education on child literacy-numeracy outcomes for urban subgroups.
• Conduct subgroup analyses to reveal heterogeneity in treatment effects across different child or maternal characteristics.
• Apply balancing methods on observed covariates to reduce selection bias in estimating the causal relationship.

Strengths

• The dataset is focused on a specific causal research question regarding maternal education and child development.
• It employs statistical methods, such as balancing observed covariates, to strengthen causal inference.
• The data is shared under a permissive CC BY 4.0 license.

Limitations

• The dataset is very small at 5.5 KB, indicating it likely contains summary statistics or model outputs rather than raw observational data.
• Specific details on sample size (rows), variables (columns), and geographic scope within urban areas are not provided.
• The temporal coverage and original data collection methodology are unknown.

Provenance

Source

figshare, authored by Md Akter Hosen.

Collection Method

Analysis of observational data using causal inference methods to estimate treatment effects.

Freshness

The record was last updated on 2026-03-20.

Geography

Urban areas (specific locations unknown).