R Dataset / Package Ecdat / Benefits

On this R-data statistics page, you will find information about the Benefits data set which pertains to Unemployment of Blue Collar Workers . The Benefits data set is found in the Ecdat R package. You can load the Benefits data set in R by issuing the following command at the console data("Benefits"). This will load the data into a variable called Benefits. If R says the Benefits 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 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 Benefits R data set. The size of this file is about 469,126 bytes.

Unemployment of Blue Collar Workers

Description

a cross-section from 1972

number of observations : 4877

observation : individuals

country : United States

Usage

data(Benefits)

Format

A time serie containing :

stateur

state unemployment rate (in %)

statemb

state maximum benefit level

state

state of residence code

age

age in years

tenure

years of tenure in job lost

joblost

a factor with levels (slack\_work,position\_abolished,seasonal\_job\_ended,other)

nwhite

non-white ?

school12

more than 12 years of school ?

sex

a factor with levels (male,female)

bluecol

blue collar worker ?

smsa

lives is smsa ?

married

married ?

dkids

has kids ?

dykids

has young kids (0-5 yrs) ?

yrdispl

year of job displacement (1982=1,..., 1991=10)

rr

replacement rate

head

is head of household ?

ui

applied for (and received) UI benefits ?

Source

McCall, B.P. (1995) “The impact of unemployment insurance benefit levels on recipiency”, Journal of Business and Economic Statistics, 13, 189–198.

References

Verbeek, Marno (2004) A Guide to Modern Econometrics, John Wiley and Sons, chapter 7.

Journal of Business Economics and Statistics web site : http://amstat.tandfonline.com/loi/ubes20.

See Also

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

Index.Time.Series

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

Attachments: csv, json

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