R Dataset / Package Ecdat / Wages

Documentation

On this Picostat.com statistics page, you will find information about the Wages data set which pertains to Panel Datas of Individual Wages . The Wages data set is found in the Ecdat R package. You can load the Wages data set in R by issuing the following command at the console data("Wages"). This will load the data into a variable called Wages. If R says the Wages data set is not found, you can try installing the package by issuing this command install.packages("Ecdat") 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 Wages R data set. The size of this file is about 243,838 bytes.


Panel Datas of Individual Wages

Description

a panel of 595 observations from 1976 to 1982

number of observations : 4165

observation : individuals

country : United States

Usage

data(Wages)

Format

A dataframe containing :

exp

years of full-time work experience

wks

weeks worked

bluecol

blue collar ?

ind

works in a manufacturing industry ?

south

resides in the south ?

smsa

resides in a standard metropolitan statistical are ?

married

married ?

sex

a factor with levels (male,female)

union

individual's wage set by a union contract ?

ed

years of education

black

is the individual black ?

lwage

logarithm of wage

Source

Cornwell, C. and P. Rupert (1988) “Efficient estimation with panel data: an empirical comparison of instrumental variables estimators”, Journal of Applied Econometrics, 3, 149–155.

Panel study of income dynamics.

References

Baltagi, Badi H. (2003) Econometric analysis of panel data, John Wiley and sons, http://www.wiley.com/legacy/wileychi/baltagi/.

See Also

Index.Source, Index.Economics, Index.Econometrics, Index.Observations,

Index.Time.Series

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

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Attachment Size
dataset-50889.csv 238.12 KB
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0