wages: The wages dataset
In QRegVCM: Quantile Regression in Varying-Coefficient Models
Description
Usage
Format
Details
References
Description
This dataset is taken from the National Longitudinal Survey of Youth, collected in U.S.A. The data contain repeated measurements for 888 individuals of age 14 – 17 years old.
Usage
1
Format
a data.frame with 7 variables and 6402 observations.
Details
It contains the following variables:
- id
the subject (individual) indicator
- exper
the duration of work experience in years
- hgc
the highest grade completed by the indiviadual
- race
the race of the individual: black, hispanic and white
- resp
the hourly wage
- r1
the dummy variable for black individuals
- r2
the dummy variable for hispanic individuals
References
Murnane, R. J., Willett, J. B., and Boudett, K. P. (1999). Do male dropouts benefit
from obtaining a GED, postsecondary education, and training? Evaluation Review,
23(5):475-503.
QRegVCM documentation built on May 1, 2019, 9:11 p.m.
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Description Usage Format Details References
Description
This dataset is taken from the National Longitudinal Survey of Youth, collected in U.S.A. The data contain repeated measurements for 888 individuals of age 14 – 17 years old.
Usage
1 |
Format
a data.frame with 7 variables and 6402 observations.
Details
It contains the following variables:
- id
the subject (individual) indicator
- exper
the duration of work experience in years
- hgc
the highest grade completed by the indiviadual
- race
the race of the individual: black, hispanic and white
- resp
the hourly wage
- r1
the dummy variable for black individuals
- r2
the dummy variable for hispanic individuals
References
Murnane, R. J., Willett, J. B., and Boudett, K. P. (1999). Do male dropouts benefit from obtaining a GED, postsecondary education, and training? Evaluation Review, 23(5):475-503.
R Package Documentation
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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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