wages: Wages for male high school dropouts

In HLMdiag: Diagnostic Tools for Hierarchical (Multilevel) Linear Models

Description

Data on the labor-market experience of male high school dropouts.

Format

A data frame with 6402 observations on the following 15 variables.

id

respondent id - a factor with 888 levels.

lnw

natural log of wages expressed in 1990 dollars.

exper

years of experience in the work force

ged

equals 1 if respondent has obtained a GED as of the time of survey, 0 otherwise

postexp

labor force participation since obtaining a GED (in years) - before a GED is earned postexp = 0, and on the day a GED is earned postexp = 0

black

factor - equals 1 if subject is black, 0 otherwise

hispanic

factor - equals 1 if subject is hispanic, 0 otherwise

hgc

highest grade completed - takes integers 6 through 12

hgc.9

hgc - 9, a centered version of hgc

uerate

local area unemployment rate for that year

ue.7

ue.centert1

ue.mean

ue.person.cen

ue1

Source

These data are originally from the 1979 National Longitudinal Survey on Youth (NLSY79).

Singer and Willett (2003) used these data for examples in chapter (insert info. here) and the data sets used can be found on the UCLA Statistical Computing website: https://stats.idre.ucla.edu/other/examples/alda/

Additionally the data were discussed by Cook and Swayne (2003) and the data can be found on the GGobi website: http://ggobi.org/book.html.

References

Singer, J. D. and Willett, J. B. (2003), Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence, New York: Oxford University Press.

Cook, D. and Swayne, D. F. (2007), Interactive and Dynamic Graphics for Data Analysis with R and GGobi, Springer.

Examples

str(wages)
summary(wages)

## Not run: 
library(lme4)
lmer(lnw ~ exper + (exper | id), data = wages)

## End(Not run)

HLMdiag documentation built on May 2, 2021, 9:06 a.m.