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.