Provides functions to estimate the disparities across categories (e.g. Black and white) that persists if a treatment variable (e.g. college) is equalized. Makes estimates by treatment modeling, outcome modeling, and doublyrobust augmented inverse probability weighting estimation, with standard errors calculated by a nonparametric bootstrap. Crossfitting is supported. Survey weights are supported for point estimation but not for standard error estimation; those applying this package with complex survey samples should consult the data distributor to select an appropriate approach for standard error construction, which may involve calling the functions repeatedly for many sets of replicate weights provided by the data distributor. The methods in this package are described in Lundberg (2021) <doi:10.31235/osf.io/gx4y3>.
Package details 


Author  Ian Lundberg [aut, cre] (<https://orcid.org/0000000219092270>) 
Maintainer  Ian Lundberg <ianlundberg@ucla.edu> 
License  MIT + file LICENSE 
Version  1.0.2 
URL  https://ilundberg.github.io/gapclosing/ 
Package repository  View on CRAN 
Installation 
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