| wage2015 {SortedEffects} | R Documentation |
Wage Data
Description
Wage Data
Usage
wage2015
Format
Consists of white, non-hispanic individuals aging from 25 to 64 and working more than 35 hours per week during at least 50 weeks of the year. Excludes self-employed, individuals living in group quarters; individuals in the military, agricultural or private household sectors; individuals with inconsistent reports on earnings and employment status; individuals with allocated or missing information in any of the variables used in the analysis; individuals with hourly wage rate below $3. Contains 32,523 workers including 18,137 men and 14,382 women. The file contains the following variables:
- lnw
log of hourly wages
- weight
CPS sampling weight
- female
gender indicator: 1 if female
- exp1
max(age-years of educ-7, 0)
- exp2
exp1^2/100
- exp3
exp1^3/100
- exp4
exp1^4/100
- occ
Aggregated occupation with 5 categories: managers, service, sales, construction and production.
- ind
Aggregated industry with 12 categories: minery, construction, manufacture, retail, transport, information, finance, professional, education, leisure, services, public.
- educ
Education attainment with 5 categories: lhs (less than high school graduate, years of educ < 12), hsg (high school graduate: years of educ = 12), sc (some college: 13<=years of educ<=15), cg (college: 16<=years of educ<=17), ad (advanced degree: years of educ>=18).
- ms
Marital Status with 5 categories: married, widowed, separated, divorced, and nevermarried.
- region
Regions with 4 categories: mw (midwest), so (south), we (west), ne (northeast).
Source
U.S. March Supplement of the Current Population Survey (CPS) in 2015.