Small Area Health Insurance Estimates
SAHIE Methodology
The Small Area Health Insurance Estimates (SAHIE) program currently has two experimental models under evaluation.
Age Model Methodology
Our age model creates county and state estimates of people with and without health insurance coverage by age. We have a county-level model and state-level estimates are aggregated from the county estimates. The estimates are adjusted so that, before rounding, county numbers sum to their states and similarly the states sum to the Annual Social and Economic Supplement (ASEC) of the Current Population Survey (CPS) national estimates. We have developed experimental county and state estimates of people with and without health insurance coverage by age in 2000 for:
- total population;
- children under age 18; and
- measures of uncertainty of the estimates.
Demographic and Income Model Methodology
Our demographic and income model creates state estimates of people with and without health insurance coverage by age, sex, race, ethnicity, and income. The estimates are adjusted so that, before rounding, state numbers sum to the CPS ASEC national estimates. We are also researching a county-level model to create estimates by age, sex, and income. We have developed experimental state estimates of women with and without health insurance coverage by age, race, ethnicity, and income in 2001 for:
- ages 18-64, 40-64, and 50-64;
- All Races, White not Hispanic, Black not Hispanic, and Hispanic;
- at or below 200 percent and 250 percent of poverty; and
- measures of uncertainty of the estimates.
SOURCE: Estimates obtained from models are applied to CPS data. Model inputs also include Census 2000, intercensal population estimates, and administrative records data. For information on the data sources, measures of uncertainty, confidentiality protection, and sources of error, see SAHIE source and accuracy.
