data-cps71: Canadian High School Graduate Earnings

In JeffreyRacine/R-Package-crs: Categorical Regression Splines

Canadian High School Graduate Earnings

Description

Canadian cross-section wage data consisting of a random sample taken from the 1971 Canadian Census Public Use Tapes for male individuals having common education (grade 13). There are 205 observations in total.

Usage

data("cps71")

Format

A data frame with 2 columns, and 205 rows.

logwage

the first column, of type numeric

age

the second column, of type integer

Source

Aman Ullah

References

Pagan, A. and A. Ullah (1999), Nonparametric Econometrics, Cambridge University Press.

Examples

## Example - we compare the nonparametric local linear kernel regression
## method with the regression spline for the cps71 data. Note that there
## are no categorical predictors in this dataset so we are merely
## comparing and contrasting the two nonparametric estimates.

data(cps71)
attach(cps71)
require(np)

model.crs <- crs(logwage~age,complexity="degree-knots")
model.np <- npreg(logwage~age,regtype="ll")

plot(age,logwage,cex=0.25,col="grey",
     sub=paste("crs-CV = ", formatC(model.crs$cv.score,format="f",digits=3),
       ", npreg-CV = ", formatC(model.np$bws$fval,format="f",digits=3),sep=""))
lines(age,fitted(model.crs),lty=1,col=1)
lines(age,fitted(model.np),lty=2,col=2)

crs.txt <- paste("crs (R-squared = ",formatC(model.crs$r.squared,format="f",digits=3),")",sep="")
np.txt <- paste("ll-npreg (R-squared = ",formatC(model.np$R2,format="f",digits=3),")",sep="")

legend(22.5,15,c(crs.txt,np.txt),lty=c(1,2),col=c(1,2),bty="n")

summary(model.crs)
summary(model.np)
detach("package:np")

JeffreyRacine/R-Package-crs documentation built on Jan. 4, 2025, 12:43 a.m.