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birdie (version 0.7.1)

disparities: Compute Racial Disparities from Model Estimates

Description

This function lets you easily compute differences in conditional expectations between all pairs of specified racial groups.

Usage

disparities(x, subgroup = FALSE, races = TRUE)

Value

A data frame containing a row with every possible disparity for the specified races, which are identified by columns race_1 and race_2. The reported disparity is estimate_1 - estimate_2.

Arguments

x

A birdie model object.

subgroup

If TRUE, return subgroup-level (rather than marginal) disparity estimates.

races

A character vector of racial groups to compute disparities for. The special value TRUE, the default, computes disparities for all racial groups.

Examples

Run this code
data(pseudo_vf)
r_probs = bisg(~ nm(last_name) + zip(zip), data=pseudo_vf)
fit = birdie(r_probs, turnout ~ 1, data=pseudo_vf)

disparities(fit)
disparities(fit, races=c("white", "black"))

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