HealthInsurance: Medical Expenditure Panel Survey Data

In AER: Applied Econometrics with R

Medical Expenditure Panel Survey Data

Description

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

Usage

data("HealthInsurance")

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.

Details

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

Source

Online complements to Stock and Watson (2007).

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.

See Also

StockWatson2007

Examples

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

AER documentation built on Sept. 28, 2024, 9:07 a.m.