ex1029: Wage and Race

In Sleuth3: Data Sets from Ramsey and Schafer's "Statistical Sleuth (3rd 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 25,437 observations on the following 6 variables.

Region

a factor with levels "Midwest", "Northeast", "South" and "West"

MetropolitanStatus

a factor with levels "MetopolitanArea" and "NotMetropolitanArea"

Exper

experience in years

Educ

education in years

Race

a factor with levels "Black" and "NotBlack"

WeeklyEarnings

weekly wage in dollars

Source

Ramsey, F.L. and Schafer, D.W. (2013). The Statistical Sleuth: A Course in Methods of Data Analysis (3rd ed), Cengage Learning.

References

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

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

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

Examples

str(ex1029)

Example output

'data.frame':	25437 obs. of  6 variables:
 $ Region            : Factor w/ 4 levels "Midwest","Northeast",..: 3 1 4 4 4 1 2 2 3 3 ...
 $ MetropolitanStatus: Factor w/ 2 levels "MetropolitanArea",..: 2 1 1 1 1 1 1 1 1 1 ...
 $ Exper             : int  8 30 31 17 6 24 14 28 40 7 ...
 $ Educ              : int  12 12 14 16 12 17 12 12 12 16 ...
 $ Race              : Factor w/ 2 levels "Black","NotBlack": 2 2 2 2 2 1 2 2 2 2 ...
 $ WeeklyEarnings    : num  860 787 1424 959 154 ...

Sleuth3 documentation built on May 2, 2019, 6:41 a.m.