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Table 4 Coefficient estimates for spatial autoregressive models without controls for neighborhood condition

From: Defining neighborhood boundaries in studies of spatial dependence in child behavior problems

 

Weight matrix geometry

 

255 m

400 m

600 m

800 m

 

b

se(b)

t

b

se(b)

t

b

se(b)

t

b

se(b)

t

Constant

.056

.311

.18

.045

.321

.14

.046

.307

.15

.067

.305

.22

Gender (1 = girl)

-.419

.129

−3.24**

-.420

.131

−3.20**

-.408

.131

−3.11**

-.389

.131

−2.97**

Ethnicity (1 = Latino)

.344

.190

1.81+

.353

.193

1.83+

.334

.193

1.73+

.341

.193

1.77+

Parental education (1 = <HS)

.146

.140

1.04

.118

.142

.83

.150

.142

1.06

.136

.142

.96

Family income $10-20 k

-.235

.163

−1.44

-.244

.165

−1.48

-.225

.165

−1.36

-.227

.164

−1.38

Family income $20-30 k

-.001

.303

.00

.058

.232

.25

.054

.225

.24

.070

.226

.31

Family income $30 k+

-.571

.194

−2.94**

-.552

.196

−2.81**

-.517

.197

−2.63**

-.517

.195

−2.65**

No. years in neighborhood

.002

.005

.38

.002

.005

.39

.002

.005

.43

.001

.003

.31

Total children in household

-.047

.035

−1.36

-.051

.035

−1.45

-.052

.035

−1.49

-.057

.035

−1.65+

Parental health status (1 = good/excellent)

.058

.149

.39

.051

.150

.34

.045

.150

.30

.053

.151

.35

Child age

.038

.021

1.80+

.040

.021

1.88+

.039

.022

1.81+

.039

.021

1.85+

Geographic peer effect (rho)

.229

.080

2.88**

.217

.112

1.93+

.279

.140

1.99*

.374

.158

2.36*

  1. +p < .10; *p < .05; **p < .01.