HealthInsurance: Medical Expenditure Panel Survey Data

Description

Cross-section data originating from the Medical Expenditure Panel Survey survey conducted in 1996.

Usage

data("HealthInsurance")

Arguments

Format

A data frame containing 8,802 observations on 11 variables.

health: factor. Is the self-reported health status “healthy”?.
age: age in years.
limit: factor. Is there any limitation?
gender: factor indicating gender.
insurance: factor. Does the individual have a health insurance?
married: factor. Is the individual married?
selfemp: factor. Is the individual self-employed?
family: family size.
region: factor indicating region.
ethnicity: factor indicating ethnicity: African-American, Caucasian, other.
education: factor indicating highest degree attained: no degree, GED (high school equivalent), high school, bachelor, master, PhD, other.

Source

Online complements to Stock and Watson (2007). http://wps.aw.com/aw_stock_ie_2/0,12040,3332253-,00.html

Details

This is a subset of the data used in Perry and Rosen (2004).

References

Perry, C. and Rosen, H.S. (2004). “The Self-Employed are Less Likely than Wage-Earners to Have Health Insurance. So What?” in Holtz-Eakin, D. and Rosen, H.S. (eds.), Entrepeneurship and Public Policy, MIT Press.

Stock, J.H. and Watson, M.W. (2007). Introduction to Econometrics, 2nd ed. Boston: Addison Wesley.

Examples

Run this code

data("HealthInsurance")
summary(HealthInsurance)
prop.table(xtabs(~ selfemp + insurance, data = HealthInsurance), 1)

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