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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.