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Wage data from the General Social Survey (1974-2018) to illustrate wage discrepancies by gender (while also considering respondent occupation, age, and education).

Usage

gss_wages

Format

A data frame with 11 variables:

year

the survey year

realrinc

the respondent's base income (in constant 1986 USD)

age

the respondent's age in years

occ10

respondent's occupation code (2010)

occrecode

recode of the occupation code into one of 11 main categories

prestg10

respondent's occupational prestige score (2010)

childs

number of children (0-8)

wrkstat

the work status of the respondent (full-time, part-time, temporarily not working, unemployed (laid off), retired, school, housekeeper, other)

gender

respondent's gender (male or female)

educcat

respondent's degree level (Less Than High School, High School, Junior College, Bachelor, or Graduate)

maritalcat

respondent's marital status (Married, Widowed, Divorced, Separated, Never Married)

Details

For further details, see the GSS Data Explorer at the National Opinion Research Center (NORC) at the University of Chicago. Consult https://census.gov for more information about occupation codes.