Cross-Sectional Data on Wages
data-wage1.RdCross-section wage data consisting of a random sample
taken from the U.S. Current Population Survey for the year 1976. There
are 526 observations in total. data("wage1") makes available the
dataset "wage" plus additional objects "bw.all" and
"bw.subset".
Usage
data("wage1")Format
A data frame with 24 columns, and 526 rows.
Two local-linear rbandwidth objects (bw.all and
bw.subset) have been computed for the user's convenience
which can be used to visualize this dataset using
plot(bw.all)
- wage
column 1, of type
numeric, average hourly earnings- educ
column 2, of type
numeric, years of education- exper
column 3, of type
numeric, years potential experience- tenure
column 4, of type
numeric, years with current employer- nonwhite
column 5, of type
factor, =“Nonwhite” if nonwhite, “White” otherwise- female
column 6, of type
factor, =“Female” if female, “Male” otherwise- married
column 7, of type
factor, =“Married” if Married, “Nonmarried” otherwise- numdep
column 8, of type
numeric, number of dependants- smsa
column 9, of type
numeric, =1 if live in SMSA- northcen
column 10, of type
numeric, =1 if live in north central U.S- south
column 11, of type
numeric, =1 if live in southern region- west
column 12, of type
numeric, =1 if live in western region- construc
column 13, of type
numeric, =1 if work in construction industry- ndurman
column 14, of type
numeric, =1 if in non-durable manufacturing industry- trcommpu
column 15, of type
numeric, =1 if in transportation, communications, public utility- trade
column 16, of type
numeric, =1 if in wholesale or retail- services
column 17, of type
numeric, =1 if in services industry- profserv
column 18, of type
numeric, =1 if in professional services industry- profocc
column 19, of type
numeric, =1 if in professional occupation- clerocc
column 20, of type
numeric, =1 if in clerical occupation- servocc
column 21, of type
numeric, =1 if in service occupation- lwage
column 22, of type
numeric, log(wage)- expersq
column 23, of type
numeric, exper\(^2\)- tenursq
column 24, of type
numeric, tenure\(^2\)
References
Wooldridge, J.M. (2000), Introductory Econometrics: A Modern Approach, South-Western College Publishing.
Examples
data("wage1")
attach(wage1)
summary(wage1)
#> wage educ exper tenure
#> Min. : 0.530 Min. : 0.00 Min. : 1.00 Min. : 0.000
#> 1st Qu.: 3.330 1st Qu.:12.00 1st Qu.: 5.00 1st Qu.: 0.000
#> Median : 4.650 Median :12.00 Median :13.50 Median : 2.000
#> Mean : 5.896 Mean :12.56 Mean :17.02 Mean : 5.105
#> 3rd Qu.: 6.880 3rd Qu.:14.00 3rd Qu.:26.00 3rd Qu.: 7.000
#> Max. :24.980 Max. :18.00 Max. :51.00 Max. :44.000
#> nonwhite female married numdep smsa
#> Nonwhite: 54 Female:252 Married :320 Min. :0.000 Min. :0.0000
#> White :472 Male :274 Notmarried:206 1st Qu.:0.000 1st Qu.:0.0000
#> Median :1.000 Median :1.0000
#> Mean :1.044 Mean :0.7224
#> 3rd Qu.:2.000 3rd Qu.:1.0000
#> Max. :6.000 Max. :1.0000
#> northcen south west construc
#> Min. :0.000 Min. :0.0000 Min. :0.0000 Min. :0.00000
#> 1st Qu.:0.000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.00000
#> Median :0.000 Median :0.0000 Median :0.0000 Median :0.00000
#> Mean :0.251 Mean :0.3555 Mean :0.1692 Mean :0.04563
#> 3rd Qu.:0.750 3rd Qu.:1.0000 3rd Qu.:0.0000 3rd Qu.:0.00000
#> Max. :1.000 Max. :1.0000 Max. :1.0000 Max. :1.00000
#> ndurman trcommpu trade services
#> Min. :0.0000 Min. :0.00000 Min. :0.0000 Min. :0.0000
#> 1st Qu.:0.0000 1st Qu.:0.00000 1st Qu.:0.0000 1st Qu.:0.0000
#> Median :0.0000 Median :0.00000 Median :0.0000 Median :0.0000
#> Mean :0.1141 Mean :0.04373 Mean :0.2871 Mean :0.1008
#> 3rd Qu.:0.0000 3rd Qu.:0.00000 3rd Qu.:1.0000 3rd Qu.:0.0000
#> Max. :1.0000 Max. :1.00000 Max. :1.0000 Max. :1.0000
#> profserv profocc clerocc servocc
#> Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
#> 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
#> Median :0.0000 Median :0.0000 Median :0.0000 Median :0.0000
#> Mean :0.2586 Mean :0.3669 Mean :0.1673 Mean :0.1407
#> 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:0.0000 3rd Qu.:0.0000
#> Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
#> lwage expersq tenursq
#> Min. :-0.6349 Min. : 1.0 Min. : 0.00
#> 1st Qu.: 1.2030 1st Qu.: 25.0 1st Qu.: 0.00
#> Median : 1.5369 Median : 182.5 Median : 4.00
#> Mean : 1.6233 Mean : 473.4 Mean : 78.15
#> 3rd Qu.: 1.9286 3rd Qu.: 676.0 3rd Qu.: 49.00
#> Max. : 3.2181 Max. :2601.0 Max. :1936.00
detach(wage1)