wage1: Cross-Sectional Data on Wages

Description

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".

Usage

data("wage1")

Arguments

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

Run this code

data("wage1")
attach(wage1)
summary(wage1)
detach(wage1)

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