disparities {birdie}

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)

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.

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'.

Examples

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"))