Spatial Durbin model
Dependent Variable = crime
R-squared = 0.5699
Rbar-squared = 0.5308
sigma^2 = 82.1059
log-likelihood = -162.37797
Nobs, Nvars = 49, 5
# iterations = 17
min and max rho = -1.0000, 1.0000
total time in secs = 0.1470
time for lndet = 0.0240
time for t-stats = 0.0070
time for x-impacts = 0.0370
# draws used = 1000
No lndet approximation used
***************************************************************
Variable Coefficient Asymptot t-stat z-probability
constant 27.828398 2.563690 0.010357
income -0.996101 -3.190880 0.001418
hvalue -0.249870 -2.989013 0.002799
W-income 0.555368 0.931221 0.351739
W-hvalue -0.006568 -0.029825 0.976206
rho 0.630995 4.599347 0.000004
Direct Coefficient t-stat t-prob lower 01 upper 99
income -1.000426 -3.035512 0.003838 -1.956648 -0.058598
hvalue -0.278634 -2.696343 0.009582 -0.561376 -0.038719
Indirect Coefficient t-stat t-prob lower 01 upper 99
income -0.255816 -0.075151 0.940400 -6.567196 7.444332
hvalue -0.495734 -0.319245 0.750897 -5.189094 1.588653
Total Coefficient t-stat t-prob lower 01 upper 99
income -1.256243 -0.354560 0.724440 -8.475103 6.904611
hvalue -0.774368 -0.480879 0.632743 -5.608533 1.461744
Bayesian Spatial Durbin model
Homoscedastic version
Dependent Variable = crime
R-squared = 0.5828
mean of sige draws = 98.7730
sige, epe/(n-k) = 127.4203
Nobs, Nvars = 49, 6
ndraws,nomit = 2500, 500
total time in secs = 3.1410
time for lndet = 0.0100
time for sampling = 3.0080
time for effects = 0.0600
No lndet approximation used
min and max rho= -1.0000, 1.0000
***************************************************************
Variable Coefficient Std Deviation p-level
constant 32.700399 15.554571 0.007500
income -1.023175 0.353313 0.001000
hvalue -0.252080 0.094109 0.004000
W-income 0.453530 0.727859 0.267000
W-hvalue -0.025453 0.233458 0.459500
rho 0.570530 0.173492 0.003500
Direct lower 01 lower 05 Coefficient upper 95 upper 99
income -2.181679 -1.820436 -1.053998 -0.320466 -0.162119
hvalue -0.595930 -0.507786 -0.279642 -0.071366 -0.013852
Indirect lower 01 lower 05 Coefficient upper 95 upper 99
income -11.572306 -6.320024 -0.562819 3.103405 5.234316
hvalue -4.618455 -2.576296 -0.531907 0.589851 1.142409
Total lower 01 lower 05 Coefficient upper 95 upper 99
income -13.662187 -7.945592 -1.616817 2.292616 4.907557
hvalue -5.152957 -2.937178 -0.811549 0.421982 0.984640
Std dev Hessian estimates MCMC estimates Difference
constant 10.85481981 15.55457108 -4.69975127
income 0.31217116 0.35331298 -0.04114183
hvalue 0.08359599 0.09410900 -0.01051301
W*income 0.59638667 0.72785943 -0.13147276
W*hvalue 0.22020641 0.23345845 -0.01325204
rho 0.13719221 0.17349242 -0.03630022
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