pseudo_vf

A dataset containing 5,000 fake voter records.
Created by randomizing a subset of the North Carolina voter file.
Turnout records are completely randomly generated.

datasets

Bayesian models for accurately estimating conditional
distributions by race, using Bayesian Improved Surname Geocoding (BISG)
probability estimates of individual race. Implements the methods described
in McCartan, Fisher, Goldin, Ho and Imai (2025) <doi:10.1080/01621459.2025.2526695>.

Cory McCartan

birdie

Bayesian Instrumental Regression for Disparity Estimation

Kosuke Imai

Daniel Ho

Jacob Goldin

Robin Fisher

The Stan Development Team

pseudo_vf function

A data frame with 5,000 rows and 4 records:<dl>
<dt>last_name</dt>
<dd>Voter's last name</dd><dt>zip</dt>
<dd>5-digit ZIP code. May be NA</dd><dt>race</dt>
<dd>One of "white", "black", "hisp", "asian", "aian", or "other"</dd><dt>turnout</dt>
<dd>1 if the voter voted in the most recent election, 0 otherwise</dd>
</dl>

Format

A pseudo-voterfile — pseudo_vf

A data frame with 5,000 rows and 4 records:<dl>
<dt>last_name</dt>
<dd>Voter's last name</dd>

<dt>zip</dt>
<dd>5-digit ZIP code. May be NA</dd>

<dt>race</dt>
<dd>One of "white", "black", "hisp", "asian", "aian", or "other"</dd>

<dt>turnout</dt>
<dd>1 if the voter voted in the most recent election, 0 otherwise</dd>


</dl>

pseudo_vf: A pseudo-voterfile

Description

Usage

Arguments

Format

Examples