Table 4 Regression of influential factors for crime rates: Spatial regression analysis

Variables

(11)

(12)

(13)

(14)

(15)

(16)

lmigr

.154^**

.219^***

.152^**

.218^***

.151^**

.217^***

lrent

.245^***

.120^**

.247^***

.126^**

.248^***

.126^**

edu

−.090^***

−.032

−.091^***

−.031

−.089^***

−.030

lunwr

.349^***

.252^***

.358^***

.267^***

.352^***

.263^***

lhc

−.348^***

−.200^**

−.355^***

−.222^***

.352^***

−.219^***

lyouth

.225^*

−.180^**

.221^*

−.212^*

.224^*

−.210^*

lsex

.695^***

.717^***

.713^**

.749^***

.697^***

.738^***

urban

.076

−.134

.073

−.141

.075

−.139

lpgdp

.137^***

.196^***

.135^**

.191^***

.135^***

.191^***

lpgex

−.108^***

−.006^**

−.109^***

−.007

−.108^**

−.006

Constant

6.525^***

5.541^***

6.820^***

5.544^***

6.753^***

5.498^***

lambda

.019

.012

.196

.013

rho

−.115

−.347

−.121

−.349