## Wages for male high school dropouts

### 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)
```