| HealthInsurance {AER} | R Documentation |
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
Examples
data("HealthInsurance")
summary(HealthInsurance)
prop.table(xtabs(~ selfemp + insurance, data = HealthInsurance), 1)