| Parade2005 {AER} | R Documentation |
Parade Magazine 2005 Earnings Data
Description
US earnings data, as provided in an annual survey of Parade (here from 2005), the Sunday newspaper magazine supplementing the Sunday (or Weekend) edition of many daily newspapers in the USA.
Usage
data("Parade2005")Format
A data frame containing 130 observations on 5 variables.
- earnings
Annual personal earnings.
- age
Age in years.
- gender
Factor indicating gender.
- state
Factor indicating state.
- celebrity
Factor. Is the individual a celebrity?
Details
In addition to the four variables provided by Parade (earnings, age, gender, and state), a fifth variable was introduced, the “celebrity factor” (here actors, athletes, TV personalities, politicians, and CEOs are considered celebrities). The data are quite far from a simple random sample, there being substantial oversampling of celebrities.
Source
Parade (2005). What People Earn. Issue March 13, 2005.
Examples
## data
data("Parade2005")
attach(Parade2005)
summary(Parade2005)
## bivariate visualizations
plot(density(log(earnings), bw = "SJ"), type = "l", main = "log(earnings)")
rug(log(earnings))
plot(log(earnings) ~ gender, main = "log(earnings)")
## celebrity vs. non-celebrity earnings
noncel <- subset(Parade2005, celebrity == "no")
cel <- subset(Parade2005, celebrity == "yes")
library("ineq")
plot(Lc(noncel$earnings), main = "log(earnings)")
lines(Lc(cel$earnings), lty = 2)
lines(Lc(earnings), lty = 3)
Gini(noncel$earnings)
Gini(cel$earnings)
Gini(earnings)
## detach data
detach(Parade2005)