
A dataset containing the distribution of party registration for each major racial group in the U.S., as measured by Gallup in February 2013 (http://www.gallup.com/poll/160373/democrats-racially-diverse-republicans-mostly-white.aspx). Variables are as follows:
  <ul>
<li> party (i.e., "Dem", "Rep", or "Oth")
  </li>
<li> PID (i.e., Democrat = 1, Republican = 2, Other = 0)
  </li>
<li> r_pid_whi (i.e., Pr(Party | White)
  </li>
<li> r_pid_bla (i.e., Pr(Party | Black)
  </li>
<li> r_pid_his (i.e., Pr(Party | Hispanic/Latino)
  </li>
<li> r_pid_asi (i.e., Pr(Party | Asian)
  </li>
<li> r_pid_oth (i.e., Pr(Party | Other)
  </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

pid function

A data frame with 3 rows and 7 variables.

pid: Dataset containing distribution of party registration by race.

Description

Arguments

Format