TABLE 4.
Risk Factorsa | (1) Base |
(2) Occupation |
(3) Other employment |
(4) Demo- graphics |
(5) Full |
---|---|---|---|---|---|
Race/Ethnicity (Non-Hispanic White) | |||||
African American | 0.87** | 0.91** | 0.78** | 0.93** | 0.97 |
Mexican Origin | 0.37** | 0.48** | 0.42** | 0.82** | 0.73** |
Occupation (Management) | |||||
Architecture and engineering | 2.51** | 1.26** | 1.19** | 1.21** | |
Healthcare practitioner and technical | 1.24** | 1.16* | 1.06 | 1.05 | |
Computer and mathematical sciences | 1.77** | 1.01 | 1.01 | 1.00 | |
Life, physical, and social sciences | 1.84** | 0.96 | 0.95 | 0.98 | |
Office and administrative support | 1.14** | 0.67** | 0.88** | 0.98 | |
Legal | 1.05 | 0.99 | 0.85** | 0.95 | |
Installation, maintenance and repair | 0.95 | 0.64** | 0.84** | 0.88** | |
Production | 1.26** | 0.56** | 0.83** | 0.88** | |
Public safety, protective service | 2.21** | 0.65** | 0.83** | 0.91 | |
Business and financial operations | 1.17** | 0.87** | 0.83** | 0.90 | |
Sales | 0.75** | 0.67** | 0.77** | 0.82** | |
Education, training and library | 1.91** | 0.71** | 0.73** | 0.88 | |
Transportation and material moving | 0.71** | 0.51** | 0.72** | 0.73** | |
Arts, design, entertainment, sports, media | 0.61** | 0.60** | 0.67** | 0.69** | |
Healthcare support | 0.60** | 0.42** | 0.64** | 0.72* | |
Construction and extraction | 0.40** | 0.45** | 0.64** | 0.63** | |
Community and social service | 1.10 | 0.58** | 0.59** | 0.64** | |
Building and grounds cleaning, maintenance | 0.49** | 0.33** | 0.58** | 0.64** | |
Personal care and service | 0.36** | 0.38** | 0.52** | 0.55** | |
Farming, fishing and forestry | 0.24** | 0.25** | 0.43** | 0.41** | |
Food preparation and serving | 0.24** | 0.20** | 0.38** | 0.41** | |
Industry (Professional) | |||||
Manufacturing | 1.66** | 1.71** | 1.81** | ||
Services | 0.87** | 0.94** | 0.96 | ||
Construction and agriculture | 0.60** | 0.69** | 0.72** | ||
Fulltime Employment (Part-time) | 5.02** | 3.96** | 3.32** | ||
Employment Sector (Private) | |||||
Public | 2.84** | 2.41** | 2.42** | ||
Self-employed | 0.20** | 0.18** | 0.16** | ||
Education (High School) | |||||
Less than high school | 0.71** | 0.67** | |||
Some college or associates degree | 1.19** | 1.22** | |||
Bachelors or higher | 1.48** | 1.45** | |||
Marital Status (Never Married) | |||||
Married | 1.13** | 1.66** | |||
Divorced, separated, widowed | 1.50** | 1.29** | |||
Age (18-35 years) | |||||
36 – 47 years | 1.29** | 1.30** | |||
48 – 64 years | 1.42** | 1.42** | |||
U.S. Citizen (Not a Citizen) | 1.69** | 1.94** | |||
Family Size | 1.08** | 1.13** | |||
Family Income to Poverty Ratio (<1.00) | |||||
1.00 to 1.99 | 1.95** | 2.10** | |||
2.00 to 2.99 | 3.32** | 4.32** | |||
3.00 to 3.99 | 4.10** | 6.40** | |||
4.00 or greater | 4.23** | 8.37** | |||
Had Health Insurance as a Dependent | 0.07** |
− 2LLi | 104652 | 99597 | 89026 | 85493 | 72364 |
−2LLi−(−2LLi−1)b | 2084** | 5055** | 10571** | 3533** | 13129** |
Pseudo R-Square c | 0.02 | 0.07 | 0.17 | 0.20 | 0.32 |
Akaike Information Criterion | 104660 | 99647 | 89088 | 85581 | 72454 |
Increase in −2LL5 if model 5 excludes the: | Occupation variable | 472 ** |
Non-occupation employment variables | 7,832 ** | |
All employment variables | 10,290 ** | |
Demographic variables | 6,579 ** |
p ≤ 0.05
p≤ 0.01.
Reference group in parentheses.
Significance indicates improvement over the previous model.
Pseudo R-square estimated with the formula [−2LL0−(−2LLi)] / [−2LL0], using the log likelihood from the intercept only model (−2LL0 = 106736) for all estimates.
Source: 2004 and 2006 Annual Social and Economic Supplements, Current Population Survey.