Table 13: Random-Effect Regression 2015-2016: stratification by Overweight (BMI ≥ 25), Type I (BMI ≥ 30), and Type II (BMI ≥ 35) obesity among males above 67 years.

Variables(1)(2)(3)(4)(5)(6)
FullStepwiseFullStepwiseFullStepwise
BMI25BMI25BMI30BMI30BMI35BMI35

Constant1.44351.39110.33300.27150.04240.0256
(0.0002)(0.0001)(0.3526)(<0.0001)(0.8479)(0.0088)
INCPENS ÷ (105)0.00180.00150.0005
(0.4404)(0.4225)(0.5758)
Owner0.0025−0.03420.02740.0255
(0.9489)(0.3460)(0.0400)(0.0431)
Books−0.05350.00130.0467
(0.1509)(0.9875)(0.5461)
Car0.00500.06100.06410.0074
(0.8735)(0.0897)(0.0469)(0.4648)
Age−0.0103−0.00990.0003−0.0004
(0.0328)(0.0450)(0.9494)(0.8297)
Academic−0.0579−0.1014−0.09930.0225
(0.2690)(0.0118)(0.0106)(0.6095)
HHSIZE0.00510.00590.0101
(0.7859)(0.7551)(0.4697)
Married0.0126−0.0442−0.0489
(0.9057)(0.7685)(0.3894)
Divorced−0.0515−0.1623−0.0538
(0.6554)(0.3060)(0.3428)
Widow−0.0101−0.1004−0.0504
(0.9233)(0.5222)(0.3341)
IMM_EUROPE_AMERICA0.0718−0.0767−0.0899−0.0197
(0.1637)(0.0821)(0.0398)(0.4167)
IMM_ASIA_AFRICA−0.0450−0.1163−0.1199−0.0036
(0.4567)(0.0245)(0.0200)(0.8975)
OVERALL_HEALTH0.0027−0.0345−0.0164
(0.9232)(0.2439)(0.3300)
GenderMalesMalesMalesMalesMalesMales
AgeAbove 67Above 67Above 67Above 67Above 67Above 67
Observations850850850850850850
R-squared0.02550.009000.05600.03700.01570.00573
Households466466466466466466
Wald chi2: all coef. equals zero13.484.02025.0919.678.4874.091
Individual effect F-Statistics7.137.074.584.6913.3811.06
Variance inflation factor (VIF)2.781.002.781.252.781.00

Note. The table reports the estimation results of equation (3) for the group of retired men estimated via the random effect regression. The results of individual-effect F-statistics justify this procedure, which includes the individual effect dummies of households. The dependent variables are BMI25, BMI30, BMI35, and dummy variables, which equal one for Overweight (BMI ≥ 25), Type I (BMI ≥ 30), and Type II Obesity (BMI ≥ 35) and zero otherwise. The stepwise procedure gradually omits variables with coefficients for whom . Variance inflation factor (VIF) is a measure for collinearity among independent variables. VIF < 10 implies low collinearity. Robust p values are given in parentheses. . . .