Estimating heterogeneous impacts Of subsidised health insurance: A causal machine learning approach
Sign Up to like & getrecommendations! Published in 2025 at "PLOS One"
DOI: 10.1371/journal.pone.0315057
Abstract: The evaluation of social and health policies often necessitates understanding the variations in impacts based on recipients’ observed characteristics, underscoring the value of estimating treatment effect heterogeneity. In this study, we leverage predictive and causal… read more here.
Keywords: causal machine; health insurance; machine learning; estimating heterogeneous ... See more keywords