ddi (version 0.1.0)

g2016: 2016 General Election Results and Survey Estimates

Description

Donald Trump's voteshare in each U.S. state, with survey estimates from the Cooperative Congressional Election Study (pre-election wave). See Meng (2018) referenced below for more details. We focus on unweighted estimates to capture the response patterns, before correcting for any imbalances through weights.

Usage

g2016

Format

A data frame with 51 rows (all U.S. states and D.C.)

state

state (full name)

st

state (abbreviation).

pct_djt_voters

Donald J. Trump's voteshare, the estimand.

cces_pct_djt_vv

CCES unweighted proportion of Trump support, one estimate.

cces_pct_djtrund_vv

CCES unweighted proportion counting Republican undecideds as Trump voters.

votes_djt

Total number of votes by Trump.

tot_votes

Turnout in Presidential as total number of votes cast.

cces_totdjt_vv

Validated voters intending to vote for Trump. Used as the numerator for the above CCES estimates.

cces_n_vv

Validated voters in survey sample. Used as the denominator for the above CCES estimates.

vap

Voting Age Population in the state.

vep

Voting Eligible Population in the state (estimate from the US Election Project).

References

For an explanation in the context of d.d.i., see Meng (2018) <doi:10.1214/18-AOAS1161SF>

Examples

# NOT RUN {
library(dplyr)
data(g2016)

transmute(g2016,
          st,
          ddc = ddc(mu = pct_djt_voters,
                    muhat = cces_pct_djt_vv,
                    N = tot_votes,
                    n = cces_n_vv))

# }