absentee_census | R Documentation |

The census file is generated from the full 2008 Cooperative Congressional Election Studies item cc419_1 by dissaggregating the 64 ideal type combinations of the individual level variables L1x1, L2x2 and L1x3. A row is an ideal type in a given state.

```
data(absentee_census)
```

A data frame with 2934 rows and 13 variables:

- state
U.S. state

- L2.unit
U.S. state id

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

- L1x1
Age group (four categories)

- L1x2
Education level (four categories)

- L1x3
Gender-race combination (six categories)

- proportion
State-level proportion of respondents of that ideal type in the population

- 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

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. L2.x3, L2.x3, L2.x4, L2.x5 and L2.x6 are available at https://www.census.gov.

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