wage: Wage data
In StatsWithR/statsr: Companion Software for the Coursera Statistics with R Specialization
Description
Usage
Format
Source
Description
The data were gathered as part of a random sample of 935 respondents throughout the United States.
Usage
1
Format
A tbl_df with with 935 rows and 17 variables:
- wage
weekly earnings (dollars)
- hours
average hours worked per week
- iq
IQ score
- kww
Knowledge of world work score
- educ
years of education
- exper
years of work experience
- tenure
years with current employer
- age
age in years
- married
=1 if married
- black
=1 if black
- south
=1 if live in south
- urban
=1 if live in a Standard Metropolitan Statistical Area
- sibs
number of siblings
- brthord
birth order
- meduc
mother's education (years)
- feduc
father's education (years)
- lwage
natural log of wage
Source
Jeffrey M. Wooldridge (2000). Introductory Econometrics: A Modern Approach. South-Western College Publishing.
StatsWithR/statsr documentation built on Jan. 24, 2021, 10:12 a.m.
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Description Usage Format Source
Description
The data were gathered as part of a random sample of 935 respondents throughout the United States.
Usage
1 |
Format
A tbl_df with with 935 rows and 17 variables:
- wage
weekly earnings (dollars)
- hours
average hours worked per week
- iq
IQ score
- kww
Knowledge of world work score
- educ
years of education
- exper
years of work experience
- tenure
years with current employer
- age
age in years
- married
=1 if married
- black
=1 if black
- south
=1 if live in south
- urban
=1 if live in a Standard Metropolitan Statistical Area
- sibs
number of siblings
- brthord
birth order
- meduc
mother's education (years)
- feduc
father's education (years)
- lwage
natural log of wage
Source
Jeffrey M. Wooldridge (2000). Introductory Econometrics: A Modern Approach. South-Western College Publishing.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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