wage2015: Wage Data

In yuqimemeda/SortedEffects: Estimation and Inference Methods for Sorted Causal Effects and Classification Analysis

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.

yuqimemeda/SortedEffects documentation built on Nov. 9, 2019, 3:49 a.m.