# R Dataset / Package Ecdat / HI

Webform
Category

Webform
Category

Webform
Category

Webform
Category

Webform
Category

Webform
Category

## Visual Summaries

Embed
<iframe src="https://embed.picostat.com/r-dataset-package-ecdat-hi.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
1.49 MB
Dataset Help

On this Picostat.com statistics page, you will find information about the HI data set which pertains to Health Insurance and Hours Worked By Wives . The HI data set is found in the Ecdat R package. You can load the HI data set in R by issuing the following command at the console data("HI"). This will load the data into a variable called HI. If R says the HI data set is not found, you can try installing the package by issuing this command install.packages("Ecdat") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the HI R data set. The size of this file is about 1,558,750 bytes.

Documentation

## Health Insurance and Hours Worked By Wives

### Description

a cross-section from 1993

number of observations : 22272

observation : individuals

country : United States

### Usage

data(HI)

### Format

A dataframe containing :

whrswk

hours worked per week by wife

hhi

wife covered by husband's HI ?

whi

wife has HI thru her job ?

hhi2

husband has HI thru own job ?

education

a factor with levels, "<9years", "9-11years", "12years", "13-15years", "16years", ">16years"

race

one of white, black, other

hispanic

hispanic ?

experience

years of potential work experience

kidslt6

number of kids under age of 6

kids618

number of kids 6–18 years old

husby

husband's income in thousands of dollars

region

one of other, northcentral, south, west

wght

sampling weight

### Source

Olson, Craig A. (1998) “A comparison of parametric and semiparametric estimates of the effect of spousal health insurance coverage on weekly hours worked by wiwes”, Journal of Applied Econometrics, 13(5), september–october, 543–565.

### References

Journal of Applied Econometrics data archive : http://qed.econ.queensu.ca/jae/.

Index.Source, Index.Economics, Index.Econometrics, Index.Observations
--