R Dataset / Package plm / Males

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<iframe src="https://embed.picostat.com/r-dataset-package-plm-males.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-52319.csv 447.87 KB
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
Dataset Help

On this Picostat.com statistics page, you will find information about the Males data set which pertains to Wages and Education of Young Males. The Males data set is found in the plm R package. You can load the Males data set in R by issuing the following command at the console data("Males"). This will load the data into a variable called Males. If R says the Males data set is not found, you can try installing the package by issuing this command install.packages("plm") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the Males R data set. The size of this file is about 458,617 bytes.

Documentation

Wages and Education of Young Males

Description

A panel of 545 observations from 1980 to 1987

total number of observations : 4360

observation : individuals

country : United States

Usage

data(Males)

Format

A data frame containing :

nr

identifier

year

year

school

years of schooling

exper

years of experience (computed as age-6-school)

union

wage set by collective bargaining ?

ethn

a factor with levels black, hisp, other

married

married?

health

health problem ?

wage

log of hourly wage

industry

a factor with 12 levels

occupation

a factor with 9 levels

residence

a factor with levels rural area, north east, northern central, south

Source

Journal of Applied Econometrics data archive http://qed.econ.queensu.ca/jae/1998-v13.2/vella-verbeek/.

References

Vella, F. and M. Verbeek (1998) “Whose Wages Do Unions Raise? A Dynamic Model of Unionism and Wage Rate Determination for Young Men”, Journal of Applied Econometrics, 13(2), pp. 163–183.

Verbeek, M. (2004) A Guide to Modern Econometrics, John Wiley and Sons, chapter 10.

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Dataset imported from https://www.r-project.org.

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