ex1029: Wage and Race

In Sleuth2: Data Sets from Ramsey and Schafer's "Statistical Sleuth (2nd Ed)"

Description

Data set contains weekly wages in 1987 for a sample of 25,632 males between the age of 18 and 70 who worked full-time along with their years of education, years of experience, indicator variable for whether they were black, indicator variable for whether they worked in or near a city, and a code for the region in the US where they worked.

Usage

ex1029

Format

A data frame with 25631 observations on the following 6 variables.

Wage

weekly wage in dollars

Education

education in years

Experience

experience in years

Black

a factor with levels "Yes" and "No"; indicator for whether the person is black

SMSA

a factor with levels "Yes" and "No"; indicator for whether the person worked in or near a city

Region

a factor with levels "MW", "NE", "S" and "W"

Source

Ramsey, F.L. and Schafer, D.W. (2002). The Statistical Sleuth: A Course in Methods of Data Analysis (2nd ed), Duxbury.

References

Bierens, H.J. and Ginther, D.K. (2001). Integrated Conditional Moment Testing of Quantile Regression Models, Empirical Economics 26(1): 307–324

http://econ.la.psu.edu/~hbierens/QUANTILE.PDF

http://econ.la.psu.edu/~hbierens/MEDIAN.HTM

Examples

str(ex1029)

Example output

'data.frame':	25631 obs. of  6 variables:
 $ Wage      : num  355 370 755 594 377 ...
 $ Education : num  7 9 11 12 16 8 12 12 14 12 ...
 $ Experience: num  45 9 46 36 22 51 34 0 18 17 ...
 $ Black     : Factor w/ 2 levels "Yes","No": 2 2 2 2 2 2 2 2 2 2 ...
 $ SMSA      : Factor w/ 2 levels "Yes","No": 1 1 1 1 1 1 1 1 1 1 ...
 $ Region    : Factor w/ 4 levels "MW","NE","S",..: 2 2 2 2 2 2 2 2 2 2 ...

Sleuth2 documentation built on May 2, 2019, 7:01 a.m.