absentee_voting: A sample of the absentee voting item from the CCES 2008

In autoMrP: Improving MrP with Ensemble Learning

A sample of the absentee voting item from the CCES 2008

Description

The Cooperative Congressional Election Stuides (CCES) item (cc419_1) asked: "States have tried many new ways to run elections in recent years. Do you support or oppose any of the following ways of voting or conducting elections in your state? Election Reform - Allow absentee voting over the Internet?" The original 2008 CCES item contains 26,934 respondents. This sample mimics a typical national survey. It contains at least 5 respondents from each state but is otherwise a random sample.

Usage

data(absentee_voting)

Format

A data frame with 1500 rows and 13 variables:

YES

1 if individual supports use of troops; 0 otherwise

L1x1

Age group (four categories: 1 = 18-29; 2 = 30-44; 3 = 45-64; 4 = 65+)

L1x2

Education level (four categories: 1 = < high school; 2 = high school graduate; 3 = some college; 4 = college graduate)

L1x3

Gender-race combination (six categories: 1 = white male; 2 = black male; 3 = hispanic male; 4 = white female; 5 = black female; 6 = hispanic female)

state

U.S. state

L2.unit

U.S. state id

region

U.S. region (four categories: 1 = Northeast; 2 = Midwest; 3 = South; 4 = West)

L2.x1

State-level share of votes for the Republican candidate in the previous presidential election

L2.x2

State-level percentage of Evangelical Protestant or Mormon respondents

L2.x3

State-level percentage of the population living in urban areas

L2.x4

State-level unemployment rate

L2.x5

State-level share of Hispanics

L2.x6

State-level share of Whites

Source

The data set (excluding L2.x3, L2.x4, L2.x5, L2.x6) is taken from the article: Buttice, Matthew K, and Benjamin Highton. 2013. "How does multilevel regression and poststrat-stratification perform with conventional national surveys?" Political Analysis 21(4): 449-467. It is a random sample with at least 5 respondents per state. L2.x3, L2.x3, L2.x4, L2.x5 and L2.x6 are available at https://www.census.gov.

autoMrP documentation built on Aug. 17, 2023, 5:07 p.m.