Data for the approval ratings of voters to various government positions combined with the demographic background of the voter. See Kuriwaki (2020) for background and details. The raw code that was used to produce the data is accessible at Kuriwaki's Github.
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A tibble with 531,755 observations and 18 variables:
integer variable for year of survey
character variable for state of residence for observation
character variable of "Female" and "Male"
integer variable for age in years
character variable for racial identity
character variable for marriage status
character variable for religious belief
factor variable for yearly family income - takes values of "Less than 10k" "10k - 20k", "20k - 30k", "30k - 40k", "40k - 50k", "50k - 60k", "60k - 70k", "70k - 80k", "80k - 100k", "100k - 120k", "120k - 150k", and "150k+"
factor variable for self-reported ideology - takes values of "Very Liberal", "Liberal", "Moderate", "Conservative", "Very Conservative", and "Not Sure"
factor variable for level of education - takes values of "No HS", "High School Graduate", "Some College", "2-Year", "4-Year", and "Post-Grad"
character variable for level news/current events interest
character variable for retrospective report on the past year's economy
character variable of approval of president - takes values of "Strongly Approve", "Approve / Somewhat Approve", "Disapprove / Somewhat Disapprove", "Never Heard / Not Sure", "Neither Approve Nor Disapprove"
numeric variable of approval for the current president on a 1-5 scale with higher numbers indicating greater approval
character variable indicating whether the respondent or someone in their immediate family is serving or has ever served in the U.S. military
character variable for validated turnout in general elections - takes values of "Voted", "No Record of Voting", and "No Voter File"
factor variable of approval for the the statement that Blacks should work their way up without special favors like many other minorities - take values of "Strongly agree", "Somewhat agree", "Neither agree nor disagree", "Somewhat disagree", "Strongly disagree"
factor variable of approval for race-related affirmative action - takes values of "Strongly support", "Somewhat support", "Somewhat oppose", and "Strongly oppose"