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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.