wage1 {np} | R Documentation |
Cross-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"
.
data("wage1")
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)
column 1, of type numeric
, average hourly earnings
column 2, of type numeric
, years of education
column 3, of type numeric
, years potential experience
column 4, of type numeric
, years with current employer
column 5, of type factor
, =“Nonwhite” if nonwhite, “White” otherwise
column 6, of type factor
, =“Female” if female, “Male” otherwise
column 7, of type factor
, =“Married” if Married, “Nonmarried” otherwise
column 8, of type numeric
, number of dependents
column 9, of type numeric
, =1 if live in SMSA
column 10, of type numeric
, =1 if live in north central U.S
column 11, of type numeric
, =1 if live in southern region
column 12, of type numeric
, =1 if live in western region
column 13, of type numeric
, =1 if work in construc. indus.
column 14, of type numeric
, =1 if in nondur. manuf. indus.
column 15, of type numeric
, =1 if in trans, commun, pub ut
column 16, of type numeric
, =1 if in wholesale or retail
column 17, of type numeric
, =1 if in services indus.
column 18, of type numeric
, =1 if in prof. serv. indus.
column 19, of type numeric
, =1 if in profess. occupation
column 20, of type numeric
, =1 if in clerical occupation
column 21, of type numeric
, =1 if in service occupation
column 22, of type numeric
, log(wage)
column 23, of type numeric
, exper**2
column 24, of type numeric
, tenure**2
Jeffrey M. Wooldridge
Wooldridge, J.M. (2000), Introductory Econometrics: A Modern Approach, South-Western College Publishing.
data("wage1") attach(wage1) summary(wage1) detach(wage1)