taxes_survey: Sample on raising taxes from the 2008 National Annenberg...
In autoMrP: Improving MrP with Ensemble Learning
taxes_survey R Documentation
Sample on raising taxes from the 2008 National Annenberg Election Studies.
Description
The 2008 National Annenberg Election Studies (NAES) item (CBb01) asked: "I'm
going to read you some options about federal income taxes. Please tell me
which one comes closest to your view on what we should be doing about federal
income taxes: (1) Cut taxes; (2) Keep taxes as they are; (3) Raise taxes if
necessary; (4) None of these; (998) Don't know; (999) No answer. Category (3)
was turned into a 'raise taxes response,' categories (1) and (2) were
combined into a 'do not raise taxes' response. The original item from the
phone and online surveys contains 50,483 respondents. This sample mimics a
typical national survey. It contains at least 5 respondents from each state
but is otherwise a random sample.
The 2008 National Annenberg Election Studies (NAES) item (CBb01) asked: "I'm
going to read you some options about federal income taxes. Please tell me
which one comes closest to your view on what we should be doing about federal
income taxes: (1) Cut taxes; (2) Keep taxes as they are; (3) Raise taxes if
necessary; (4) None of these; (998) Don't know; (999) No answer. Category (3)
was turned into a 'raise taxes response,' categories (1) and (2) were
combined into a 'do not raise taxes' response. The original item from the
phone and online surveys contains 50,483 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(taxes_survey)
data(taxes_survey)
Format
A data frame with 1500 rows and 13 variables:
- YES
1 if individual supports raising taxes; 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
A data frame with 1500 rows and 13 variables:
- YES
1 if individual supports raising taxes; 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.
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 May 29, 2024, 6:40 a.m.
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| taxes_survey | R Documentation |
Sample on raising taxes from the 2008 National Annenberg Election Studies.
Description
The 2008 National Annenberg Election Studies (NAES) item (CBb01) asked: "I'm going to read you some options about federal income taxes. Please tell me which one comes closest to your view on what we should be doing about federal income taxes: (1) Cut taxes; (2) Keep taxes as they are; (3) Raise taxes if necessary; (4) None of these; (998) Don't know; (999) No answer. Category (3) was turned into a 'raise taxes response,' categories (1) and (2) were combined into a 'do not raise taxes' response. The original item from the phone and online surveys contains 50,483 respondents. This sample mimics a typical national survey. It contains at least 5 respondents from each state but is otherwise a random sample.
The 2008 National Annenberg Election Studies (NAES) item (CBb01) asked: "I'm going to read you some options about federal income taxes. Please tell me which one comes closest to your view on what we should be doing about federal income taxes: (1) Cut taxes; (2) Keep taxes as they are; (3) Raise taxes if necessary; (4) None of these; (998) Don't know; (999) No answer. Category (3) was turned into a 'raise taxes response,' categories (1) and (2) were combined into a 'do not raise taxes' response. The original item from the phone and online surveys contains 50,483 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(taxes_survey)
data(taxes_survey)
Format
A data frame with 1500 rows and 13 variables:
- YES
1 if individual supports raising taxes; 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
A data frame with 1500 rows and 13 variables:
- YES
1 if individual supports raising taxes; 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.
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.
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