Table 5.

Regression entire sample. HUI3 = f(gender, proxy reporting, education, martial status, income, missing income, BMI, age, country)

	Estimated Coefficient	Standard Error	T-Statistic	P-Value
Constant	0.89	0.01	65.32	0.00
Gender (Female)	-0.01	0.01	-1.90	0.06
Proxy report	-0.13	0.03	-5.02	0.00
High school	0.07	0.01	5.40	0.00
College	0.07	0.01	4.96	0.00
University	0.10	0.01	7.58	0.00
Widow	-0.03	0.02	-2.00	0.05
Divorce	-0.04	0.01	-4.27	0.00
Single	-0.01	0.01	-1.32	0.19
Lowest income	-0.08	0.01	-6.48	0.00
Lower middle income	-0.02	0.01	-2.11	0.03
Higher middle income	0.01	0.01	1.60	0.11
Highest income	0.02	0.01	3.04	0.00
Missing Income	-0.01	0.01	-1.38	0.17
BMI0 (underweight)	-0.05	0.02	-2.35	0.02
BMI1 (overweight)	-0.01	0.01	-1.54	0.12
BMI2 (obese)	-0.07	0.01	-7.19	0.00
Age (45–64)	-0.06	0.01	-7.85	0.00
Age1 (65–74)	-0.06	0.01	-5.56	0.00
Age2 (75+)	-0.13	0.02	-8.17	0.00
US no insurance	0.00	0.01	-0.35	0.73
Country (USA)	-0.02	0.01	-2.84	0.00

Adjusted R²

0.15. Omitted categories: middle income quintile ($28,800–$41,999); BMI 18.5–24.9 (normal weight); Age 18–44; less than high school; male; married