Wages and Related Data for 1289 Workers — wages • jeksterslabRdatarepo

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

wages

Format

A data frame with 1289 cases and 7 variables:

wages: Hourly wages in US dollars.
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.

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, package = "jeksterslabRdatarepo")
str(wages)
#> 'data.frame':	1289 obs. of  7 variables:
#>  $ wages     : num  11.6 5 12 7 21.1 ...
#>  $ gender    : int  1 0 0 0 1 1 1 1 0 1 ...
#>  $ race      : int  0 0 0 1 1 0 0 1 0 0 ...
#>  $ union     : int  0 0 0 1 0 0 0 0 0 0 ...
#>  $ education : int  12 9 16 14 16 12 12 12 18 18 ...
#>  $ experience: int  20 9 15 38 19 4 14 32 7 5 ...
#>  $ age       : int  38 24 37 58 41 22 32 50 31 29 ...
head(wages)
#>   wages gender race union education experience age
#> 1 11.55      1    0     0        12         20  38
#> 2  5.00      0    0     0         9          9  24
#> 3 12.00      0    0     0        16         15  37
#> 4  7.00      0    1     1        14         38  58
#> 5 21.15      1    1     0        16         19  41
#> 6  6.92      1    0     0        12          4  22