Table 12: Random-Effect Regression 2015-2016: stratification by Overweight (BMI ≥ 25), Type I (BMI ≥ 30), and Type II (BMI ≥ 35) obesity among females above 67 years.

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

Constant1.05620.71780.22450.25280.0900−0.0373
(0.0036)(<0.0001)(0.4940)(<0.0001)(0.6601)(0.3270)
INCPENS ÷ (104)−0.0084−0.0095−0.0041−0.0052−0.0015
(0.0056)(0.0014)(0.0021)(0.0001)(0.1699)
Owner−0.05380.00310.04140.0437
(0.2784)(0.9375)(0.0169)(0.0089)
Books−0.04710.0806−0.0287
(0.5753)(0.2047)(0.3613)
Car−0.0436−0.0460−0.0240
(0.3183)(0.1774)(0.2806)
Age−0.0033−0.0014−0.0014
(0.4729)(0.7353)(0.5709)
Academic−0.0204−0.06230.0038
(0.6753)(0.0966)(0.8731)
HHSIZE0.02310.02390.03570.0353
(0.0840)(0.1549)(0.0211)(0.0201)
Married−0.03880.03560.0433
(0.7169)(0.4045)(0.3494)
Divorced−0.10290.09250.12440.0983
(0.4013)(0.0319)(0.0572)(0.0340)
Widow−0.02770.11280.06580.09060.0531
(0.7978)(0.0048)(0.0419)(0.0430)(0.0377)
IMM_EUROPE_AMERICA0.04060.0162−0.0184
(0.4103)(0.7047)(0.5098)
IMM_ASIA_AFRICA−0.0468−0.0544−0.0379
(0.4070)(0.2377)(0.1886)
OVERALL_HEALTH−0.0535−0.0632−0.0655−0.0747−0.0245−0.0282
(0.0792)(0.0275)(0.0190)(0.0036)(0.0721)(0.0288)
GenderFemaleFemaleFemalesFemalesFemaleFemale
AgeAbove 67Above 67Above 67Above 67Above 67Above 67
Observations921921921921921921
R-squared0.04850.03850.05690.03700.08530.0761
Households507507507507507507
Wald chi2: all coef. equals zero27.5317.7347.2528.5925.5419.41
Individual effect F-Statistics5.545.556.796.986.796.51
Variance inflation factor (VIF)2.341.062.341.072.341.10

Note. The table reports the estimation results of equation (3) for the group of retired women 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. . . .