Is Receipt of the Bono de Desarrollo Humano Associated with Child Stunting in Ecuador? A Propensity-Score-Matched Analysis of ENDI 2023–2024

This study examines whether current household receipt of Ecuador’s Bono de Desarrollo Humano (BDH) is associated with child stunting using ENDI 2023–2024. The linked dataset included 6345 children; the revised analytical sample comprised 6310, including 792 current recipients. Propensity scores were estimated from 45 substantively selected balancing covariates; multicategory variables were indicator-coded, and sparse categories in eight variables were pooled to avoid complete separation. Kernel matching yielded the most favourable broad-specification balance (mean standardised bias 3.0%; Rubin’s B = 34.3; Rubin’s R = 1.20) and a recipient–non-recipient stunting-prevalence difference of +1.36 percentage points. A survey-weighted linear probability model estimated an adjusted difference of +1.41 points (95% CI −5.38 to +8.19; p = 0.684). A reduced 14-background-covariate kernel model, estimated on the same 6310 observations, yielded +4.87 points and stronger global balance (Rubin’s B = 18.0; Rubin’s R = 1.26), indicating sensitivity to covariate specification. Because ENDI records only current BDH status, not exposure timing, duration or continuity, these findings are adjusted cross-sectional contrasts rather than causal programme effects and do not establish programme ineffectiveness.

Authors

Institutions

Publication Details

Journal
International Journal of Environmental Research and Public Health
Published
2026-10-14
DOI
https://doi.org/10.3390/ijerph23101316
Primary Topic
Poverty, Education, and Child Welfare
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Is Receipt of the Bono de Desarrollo Humano Associated with Child Stunting in Ecuador? A Propensity-Score-Matched Analysis of ENDI 2023–2024

Patricia Hernández, María Paublini-Hernández, Gladys Sabando-Murillo, Myriam Merino-Rosero
International Journal of Environmental Research and Public Health
Poverty, Education, and Child Welfare
article

Is Receipt of the Bono de Desarrollo Humano Associated with Child Stunting in Ecuador? A Propensity-Score-Matched Analysis of ENDI 2023–2024

Patricia Hernández, María Paublini-Hernández, Gladys Sabando-Murillo, Myriam Merino-Rosero
article en

Abstract

This study examines whether current household receipt of Ecuador’s Bono de Desarrollo Humano (BDH) is associated with child stunting using ENDI 2023–2024. The linked dataset included 6345 children; the revised analytical sample comprised 6310, including 792 current recipients. Propensity scores were estimated from 45 substantively selected balancing covariates; multicategory variables were indicator-coded, and sparse categories in eight variables were pooled to avoid complete separation. Kernel matching yielded the most favourable broad-specification balance (mean standardised bias 3.0%; Rubin’s B = 34.3; Rubin’s R = 1.20) and a recipient–non-recipient stunting-prevalence difference of +1.36 percentage points. A survey-weighted linear probability model estimated an adjusted difference of +1.41 points (95% CI −5.38 to +8.19; p = 0.684). A reduced 14-background-covariate kernel model, estimated on the same 6310 observations, yielded +4.87 points and stronger global balance (Rubin’s B = 18.0; Rubin’s R = 1.26), indicating sensitivity to covariate specification. Because ENDI records only current BDH status, not exposure timing, duration or continuity, these findings are adjusted cross-sectional contrasts rather than causal programme effects and do not establish programme ineffectiveness.

International Journal of Environmental Research and Public HealthVol. 23(10)
Universidad Católica Andrés Bello (VE), Universidad Nacional de Chimborazo (EC)
Good health and well-being, Reduced inequalities, No poverty
Openalex Percentile: Top 8%
Poverty, Education, and Child Welfare
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.