Wages and Related Data for 1289 Workers (Matrix Format)

A random sample of 1,280 workers from the Cirrent Population Survey (CPS) for March 1995.

wages.matrix

Format

A list with two elements:

y

wages

X

gender, race, union, education, experiemce, and age

X has the following elements:

gender

Gender, 1 for female, 0 for male.

race

Race, 1 for nonwhite workers and 0 for white workers.

union

Union status, 1 if in union, 0 otherwise.

education

Education in years.

experience

Work experience in years.

age

Age in years.

Both y and X have 1289 rows.

Source

From Chapter 4 in Gujarati (2019).

References

Gujarati, D. N. (2019). Linear regression: A mathematical introduction. Thousand Oaks: SAGE Publications. ISBN:9781544336558. Google:pqxyDwAAQBAJ

Examples

data(wages.matrix, package = "jeksterslabRdatarepo")
str(wages.matrix)
#> List of 2
#>  $ X: num [1:1289, 1:7] 1 1 1 1 1 1 1 1 1 1 ...
#>   ..- attr(*, "dimnames")=List of 2
#>   .. ..$ : NULL
#>   .. ..$ : chr [1:7] "constant" "gender" "race" "union" ...
#>  $ y: num [1:1289, 1] 11.6 5 12 7 21.1 ...
#>   ..- attr(*, "dimnames")=List of 2
#>   .. ..$ : NULL
#>   .. ..$ : chr "wages"
head(wages.matrix[["y"]])
#>      wages
#> [1,] 11.55
#> [2,]  5.00
#> [3,] 12.00
#> [4,]  7.00
#> [5,] 21.15
#> [6,]  6.92
head(wages.matrix[["X"]])
#>      constant gender race union education experience age
#> [1,]        1      1    0     0        12         20  38
#> [2,]        1      0    0     0         9          9  24
#> [3,]        1      0    0     0        16         15  37
#> [4,]        1      0    1     1        14         38  58
#> [5,]        1      1    1     0        16         19  41
#> [6,]        1      1    0     0        12          4  22