# 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

 `1` ```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

 `1` ```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 Jan. 24, 2019, 9:04 a.m.