Sample cumulative CCES data — ccc

The cumulative CCES stacks CCES common content for all years and harmonizes the variables, which makes it ideal for using it for MRP. This is a sample for illustration; see get_cces_dataverse to get the full data.

ccc_samp

Format

A data frame with 1000 observations. See the CCES cumulative codebook for more explanation of the variables

year: Year of the common content
case_id: Respondent identifier (unique within each year)
state: State (in the form of state.name)
st: State Abbreviation (in the form of state.abb)
cd: Congressional district at the time of the survey. See ccc_std_demographics for how it is and should be standardized.
zipcode: Zipcode (See codebook)
county_fips: County FIPS code (See codebook)
gender: Gender (equivalent to sex in ACS for the purposes of this package)
age: Age, in integers
race: Race and ethnicity
hispanic: Hispanic identifier
educ: Education level
faminc: Family Income
marstat: Martial status
newsint: Frequency of following the news
vv_turnout_gvm: Validated turnout in general election
voted_pres_16: Self-reported vote choice for 2016
economy_retro: Opinion on retrospective economy

Source

Kuriwaki, Shiro, 2018, "Cumulative CCES Common Content (2006-2019)", https://doi.org/10.7910/DVN/II2DB6, Harvard Dataverse

Details

This is encoded as a RDS file with some variables stored in the Stata-based integer + labelled class instead of as factors. See the CCES cumulative guide for the difference between the two and how to go from one to another.

Examples

library(ccesMRPprep)
ccc_samp
#> # A tibble: 1,000 × 18
#>     year case_id state     st    cd    zipcode county_fips gender    age race   
#>    <dbl> <chr>   <chr>     <chr> <chr> <chr>   <chr>       <dbl+l> <dbl> <dbl+l>
#>  1  2006 1005058 Michigan  MI    MI-04 48603   26145       2 [Fem…    36 1 [Whi…
#>  2  2006 1006614 Texas     TX    TX-18 77040   48201       1 [Mal…    40 3 [His…
#>  3  2006 1009338 Californ… CA    CA-48 92656   06059       1 [Mal…    32 1 [Whi…
#>  4  2006 1088898 Florida   FL    FL-13 34224   12015       2 [Fem…    52 1 [Whi…
#>  5  2006 1090564 Pennsylv… PA    PA-19 17011   42041       2 [Fem…    25 1 [Whi…
#>  6  2006 1093132 South Ca… SC    SC-02 29073   45063       2 [Fem…    48 1 [Whi…
#>  7  2006 1093573 Utah      UT    UT-03 84118   49035       2 [Fem…    74 1 [Whi…
#>  8  2006 1105620 Hawaii    HI    HI-01 96701   15003       1 [Mal…    37 4 [Asi…
#>  9  2006 1116569 Texas     TX    TX-21 78610   48209       2 [Fem…    20 3 [His…
#> 10  2006 1117377 Ohio      OH    OH-07 45502   39023       2 [Fem…    49 1 [Whi…
#> # ℹ 990 more rows
#> # ℹ 8 more variables: hispanic <dbl+lbl>, educ <dbl+lbl>, faminc <dbl+lbl>,
#> #   marstat <dbl+lbl>, newsint <dbl+lbl>, vv_turnout_gvm <dbl+lbl>,
#> #   voted_pres_16 <dbl+lbl>, economy_retro <dbl+lbl>