taxes_census: Quasi census data.
In autoMrP: Improving MrP with Ensemble Learning
taxes_census R Documentation
Quasi census data.
Description
The census file is generated from the full 2008 National Annenberg Election
Studies item CBb01 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.
Usage
data(taxes_census)
Format
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)
- freq
State-level frequency of ideal type
- 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
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. 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.
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| taxes_census | R Documentation |
Quasi census data.
Description
The census file is generated from the full 2008 National Annenberg Election Studies item CBb01 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.
Usage
data(taxes_census)
Format
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)
- freq
State-level frequency of ideal type
- 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
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. L2.x3, L2.x3, L2.x4, L2.x5 and L2.x6 are available at https://www.census.gov.
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