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Table 3 Parameter estimates of the alternative bmi structural model specifications (t statistics in parentheses)

From: Re-visiting the relationship between neighbourhood environment and BMI: an instrumental variables approach to correcting for residential selection bias

Independent variables

Instrumental variables regression coefficients (t-statistics)

Least squares regression coefficients (t-statistics)

INTERCEPT

27.96

28.21

(82.41)**

(83.45)**

AGEa

0.22

0.22

(16.57)**

(16.66)**

AGE_SQa

−0.00

−0.01

(−2.71)**

(−2.89)**

EDUC

−0.31

−0.33

(−13.04)**

(−13.88)**

MARRIED

0.33

0.38

(2.62)**

(2.97)**

BMIYR

0.09

0.10

(7.54)**

(8.11)**

SIBBMI

2.34

2.35

(35.82)**

(35.75)**

RESWALK

−0.24

−0.00

(−3.23)**

(−0.08)

Adjusted R2

0.16

0.16

F Statistic

268.52**

267.90**

  1. **p < .05.
  2. aAge is centered before creating age squared so as to avoid any possible collinearity problems associated with entering both age and age squared as regressors.