gapclosing: Estimate Gaps Under an Intervention

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 doubly-robust augmented inverse probability weighting estimation, with standard errors calculated by a nonparametric bootstrap. Cross-fitting 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

AuthorIan Lundberg [aut, cre] (<https://orcid.org/0000-0002-1909-2270>)
MaintainerIan Lundberg <ianlundberg@ucla.edu>
LicenseMIT + file LICENSE
Version1.0.2
URL https://ilundberg.github.io/gapclosing/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("gapclosing")

Try the gapclosing package in your browser

Any scripts or data that you put into this service are public.

gapclosing documentation built on Oct. 11, 2021, 9:07 a.m.