edar_survey: A National Survey from Brazil
In DiogoFerrari/edar: Exploratory Data Analysis in R

edar_survey

R Documentation

A National Survey from Brazil

Description

The data set is a subset of a national suvery conducted in Brazil in 2013. The survey measures preferences of individuals for interpersonal and interregional redistribution of income as well as preferences for centralization of political authority.

Usage

data(edar_survey)

Format

A data frame with 700 rows and 16 columns:

gender: factor with "men" and "woman"
educ: factor with "high" if the individual completed high school or more, and "low" otherwise
age: integer with age in years
yi: numeric variable with household income per capita
yi.iht: inverse hyperbolic transformation of yi
state: factor with the state in which the individual lives
region: factor with macroregion
ys.mean: average household percapita income in the state, computed using the 2013 Brazilian National Household Survey (PNAD)
trust: factor, "high" or "low" trust in the federal government
treat: numeric, 0 for control group or 1 for treatment group. It is a randomly generated variable for used for ilustration of the examples and vignettes only
ys.gini: numeric, Gini coefficient of the state computed using the 2013 Brazilian National Household Survey (PNAD)
racial.frag.ratio: numeric, racial fractionalization at the state over racial fractionalization at the national level
reduce.income.gap: factor, "A"=Agree, "A+"=Strongly Agree, "D"=Disagree, "D+"=Strongly Disagree, "N"=Neither Agree or Disagree that "Government should reduce income gap between rich and poor"
transfer.state.tax: factor, "A"=Agree, "A+"=Strongly Agree, "D"=Disagree, "D+"=Strongly Disagree, "N"=Neither Agree or Disagree that the "Government should redistribute resources from rich to poor states"
minimum.wage: factor, captures the answer to "Who should decide about the minimum wage policy?". The levels are "Each city should decide", "Each state should decide", "Should be the same accros the country"
unemployment.policy: factor, captures the answer to "Who should decide about the unemployment policy?". The levels are "Each city should decide", "Each state should decide", "Should be the same accros the country"
red.to.poor: factor, captures the answer to "Who should decide about policies to redistribute income to poor?". The levels are "Each city should decide", "Each state should decide", "Should be the same accros the country"