causal.decomp - Causal Decomposition Analysis
We implement causal decomposition analysis using methods
proposed by Park, Lee, and Qin (2022) and Park, Kang, and Lee
(2023), which provide researchers with multiple-mediator
imputation, single-mediator imputation, and
product-of-coefficients regression approaches to estimate the
initial disparity, disparity reduction, and disparity remaining
(<doi:10.1177/00491241211067516>;
<doi:10.1177/00811750231183711>). We also implement sensitivity
analysis for causal decomposition using R-squared values as
sensitivity parameters (Park, Kang, Lee, and Ma, 2023
<doi:10.1515/jci-2022-0031>). Finally, we include
individualized causal decomposition and sensitivity analyses
proposed by Park, Kang, and Lee (2025+)
<doi:10.48550/arXiv.2506.19010>.
