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Heterogeneous Effects of Health Insurance on Rural Children’s Health in China: A Causal Machine Learning Approach
This paper investigates the impact of Urban and Rural Resident Basic Medical Insurance (URRBMI) on the health of preschool and school-age children in rural China using data from the 2018 wave of the China Family Panel Studies (CFPS). We employ the propensity score matching approach and causal forest...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8466805/ https://www.ncbi.nlm.nih.gov/pubmed/34574541 http://dx.doi.org/10.3390/ijerph18189616 |