wage1 {np} | R Documentation

## 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")

### 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

### Source

Jeffrey M. Wooldridge

### References

Wooldridge, J.M. (2000), Introductory Econometrics: A Modern Approach, South-Western College Publishing.

### Examples

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

[Package np version 0.60-9 Index]