R Dataset / Package plm / Wages

On this R-data statistics page, you will find information about the Wages data set which pertains to Panel Data of Individual Wages. The Wages data set is found in the plm 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("plm") and then attempt to reload the data with the library() command. 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 Data of Individual Wages

Description

A panel of 595 individuals from 1976 to 1982, taken from the Panel Study of Income Dynamics (PSID).The data are organized as a stacked time series/balanced panel, see Examples on how to convert to a pdata.frame.

total number of observations : 4165

observation : individuals

country : United States

Usage

data(Wages)

Format

A data frame 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 area?
married: married?
sex: a factor with levels "male" and "female"
union: individual's wage set by a union contract?
ed: years of education.
black: is the individual black?
lwage: logarithm of wage.

Source

Online complements to Baltagi (2001):

http://www.wiley.com/legacy/wileychi/baltagi/

Online complements to Baltagi (2013):

http://bcs.wiley.com/he-bcs/Books?action=resource&bcsId=4338&itemId=1118672321&resourceId=13452

References

Baltagi, Badi H. (2001) Econometric Analysis of Panel Data, 2nd ed., John Wiley and Sons.

Baltagi, Badi H. (2013) Econometric Analysis of Panel Data, 5th ed., John Wiley and Sons.

Cornwell, C. and P. Rupert (1988) “Efficient estimation with panel data: an empirical comparison of instrumental variables estimators”, Journal of Applied Econometrics, 3(2), pp. 149–155.

Examples

# data set 'Wages' is organized as a stacked time series/balanced panel
data("Wages", package = "plm")
Wag <- pdata.frame(Wages, index=595)

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

Attachments: csv, json

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