AER (version 1.2-9)

Parade2005: 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.

Examples

# NOT RUN {
## 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)
# }