The impact of maternal employment on child nutritional diversity in Bangladesh: A causal forest analysis with clustered data

S.M. Asif Ehsan & Md Rasel Biswas

Journal of Statistical Research2025https://doi.org/10.3329/jsr.v58i2.80614article
ABDC C
Weight
0.50

What the paper says

Understanding the impact of women’s employment on children’s nutrition is crucial for informing effective public health policies. This study examines the relationship between mothers’ employment status and the dietary diversity of their children, aged 6 months to 5 years, in Bangladesh. The Nutritional Variety Score (NVS) is used as a measure of dietary diversity, capturing the consumption of various food groups, including eggs, meat, bread, potatoes, vegetables, fruits, fish, beans, and dairy products. To explore this relationship, advanced statistical methods were employed, including causal forest models with cluster identifiers and mixed-effects multilevel logistic regression for propensity scores. The analysis utilized data from the 2022 Bangladesh Demographic and Health Survey (BDHS), a comprehensive dataset encompassing information on women’s employment, household characteristics, and children’s dietary intake. The models controlled for several confounding variables, including the number of children, partner’s education and employment status, type of residence, wealth index, and mother’s education level. The results reveal that children of employed mothers have a higher NVS than those of non-employed mothers, with an estimated average treatment effect (ATE) of 0.532 (95% CI: 0.365-0.699). This finding suggests that working mothers may have better access to resources or opportunities to provide a more diverse diet for their children. The statistically significant ATE confirms a positive causal relationship between women’s employment and children’s nutritional variety. This study contributes to the literature by offering robust evidence on how maternal employment affects child nutrition in Bangladesh. Journal of Statistical Research 2024, Vol. 58, No. 2, pp. 317-333

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.3329/jsr.v58i2.80614

Or copy a formatted citation

@article{s.m.2025,
  title        = {{The impact of maternal employment on child nutritional diversity in Bangladesh: A causal forest analysis with clustered data}},
  author       = {S.M. Asif Ehsan & Md Rasel Biswas},
  journal      = {Journal of Statistical Research},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.3329/jsr.v58i2.80614},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

The impact of maternal employment on child nutritional diversity in Bangladesh: A causal forest analysis with clustered data

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.