Estimating heterogeneous policy impacts using causal machine learning: a case study of health insurance reform in Indonesia (2021)
Abstract
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Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1007/s10742-021-00259-3
Publication URI: http://dx.doi.org/10.1007/s10742-021-00259-3
Type: Journal Article/Review
Parent Publication: Health Services and Outcomes Research Methodology
Issue: 2