Explaining
Variation in Insurance Status:
Modeling Ohio?s Coverage and Benefit Rates
With Employment and Demographic Variables
The report uses alternative modeling approaches to summarize the
relationships between health insurance and income, race, hours worked,
size of employer, type of industry, and other variables that may impact
insurance status.
Note:
We strongly recommend that you download and install the latest
"free" version of Acrobat
Reader for the pdf documents in this section.
|
Part
|
File
Size |
Description
of Contents |
|
One
|
184 KB |
- Table of Contents
- Introduction
- Methods
- Results for Ages 18-64: Descriptive
Frequencies, Weighted Percentages, Regression Models (Part 1)
|
|
Two
|
472 KB |
- Results for Ages 18-64 - Regression
Models (Part 2)
|
|
Three
|
373 KB |
- Results for Adults Age 65 and Above
|
|
Four
|
356
KB |
- Results for Children
- Recommendations
|
|
