voters


A dataset containing an example voter file with 10 voters. Variables are as follows:
  <ul>
<li> VoterID
  </li>
<li> surname
  </li>
<li> state
  </li>
<li> CD (i.e., Congressional District)
  </li>
<li> county
  </li>
<li> tract
  </li>
<li> block
  </li>
<li> precinct
  </li>
<li> age
  </li>
<li> female
  </li>
<li> party
  </li>
</ul><p></p><p></p>

This open-source software package enables researchers to predict
individual ethnicity using his/her surname, geolocation, and other attributes
such as gender and age. The method utilizes the Bayes' rule to compute the
posterior probability of each racial category for any given individual voter.
The package implements methods described in Imai and Khanna (2016) <DOI:10.1093/pan/mpw001>.

Kabir Khanna

Who Are You? Bayesian Prediction of Racial Category Using
Surname and Geolocation

voters function

A data frame with 10 rows and 11 variables.

voters: Dataset containing example voter file.

Description

Arguments

Format