This output shows models for CZ areas

Single-barricade Models; No residential seg controls

Creates models by iterating through segregation measures and dividedness measures. Outer loop is segregation measure; inner loop is dividedness measure.

Dividedness measures are:

Setup:

Define division column names; show some rows of these; define control vars.

div.cols <-
  c("perc.acres.sfz", "poly.m", "hwy.m")

inx %>% select(1,2,all_of(div.cols)) %>% head(2)
## # A tibble: 2 x 5
##   cz    plc.id  perc.acres.sfz  poly.m hwy.m
##   <chr> <chr>            <dbl>   <dbl> <dbl>
## 1 35802 4154900          0.475 0.00112     2
## 2 33500 4872368          0.489 0.00788     2
# hwys is interstates and poly.m is sum(polys)/area

# control vars
(controls <- xns[! xns %in% c(div.cols, "pop", "aland", "perc.wh")])
## [1] "pop.below.poverty"  "manufactur.emp"     "single.headed.fams"
## [4] "under18"            "pop.dens"           "perc.bl"           
## [7] "perc.hsp"           "ln.pop"             "ln.aland"
controls <- paste(controls, collapse = " + ")

Results:

library(pander)
## Warning: package 'pander' was built under R version 4.0.4
panderOptions('knitr.auto.asis', FALSE)

# outter loop -- yvars
# inner loop: divisions
for(yn in yns) {

  cat("\n\n###", yn, "\n")

  for(div in div.cols) {

    cat("\n\n####", yn, " - ", div, "\n")

    # concat to formula
    (mxtmp <- paste0(yn, " ~ ", div, " + ", controls))
    cat("\n", mxtmp, "\n")
    # run model
    mxtmp <-
      lm(mxtmp, data = inx, weights = inx$pop)

    pander::pander(summary(mxtmp),
                   add.significance.stars = T)
  }
}

inflow.dissim_wh.bl

inflow.dissim_wh.bl - perc.acres.sfz

inflow.dissim_wh.bl ~ perc.acres.sfz + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.2671 0.04877 -5.478 5.978e-08 * * *
perc.acres.sfz 0.05889 0.01783 3.303 0.001004 * *
pop.below.poverty -0.007352 0.1092 -0.06732 0.9463
manufactur.emp 0.4671 0.1189 3.928 9.387e-05 * * *
single.headed.fams 1.532 0.4533 3.379 0.000768 * * *
under18 0.01611 0.1119 0.1439 0.8856
pop.dens 2.934e-05 8.15e-06 3.6 0.0003408 * * *
perc.bl 0.006808 0.03508 0.1941 0.8462
perc.hsp -0.09779 0.02284 -4.282 2.102e-05 * * *
ln.pop 0.02541 0.003069 8.281 6.044e-16 * * *
ln.aland -0.0003996 0.004457 -0.08964 0.9286
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
724 38.55 0.4077 0.3994

inflow.dissim_wh.bl - poly.m

inflow.dissim_wh.bl ~ poly.m + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.2327 0.04561 -5.102 4.3e-07 * * *
poly.m 1.955 0.3407 5.738 1.416e-08 * * *
pop.below.poverty 0.02702 0.1076 0.2512 0.8017
manufactur.emp 0.5558 0.115 4.833 1.642e-06 * * *
single.headed.fams 0.8348 0.4558 1.832 0.06741
under18 -0.02386 0.1098 -0.2173 0.828
pop.dens -3.846e-05 1.487e-05 -2.586 0.009892 * *
perc.bl 0.09683 0.03669 2.639 0.008503 * *
perc.hsp -0.06616 0.02332 -2.836 0.004691 * *
ln.pop 0.02193 0.003079 7.123 2.576e-12 * * *
ln.aland 0.006853 0.004624 1.482 0.1388
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
728 37.89 0.425 0.417

inflow.dissim_wh.bl - hwy.m

inflow.dissim_wh.bl ~ hwy.m + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.07456 0.05255 -1.419 0.1564
hwy.m 0.006478 0.001191 5.438 7.398e-08 * * *
pop.below.poverty 0.01804 0.1077 0.1675 0.867
manufactur.emp 0.4901 0.1155 4.244 2.481e-05 * * *
single.headed.fams 1.38 0.4452 3.099 0.002016 * *
under18 -0.1066 0.1132 -0.9416 0.3467
pop.dens 3.62e-05 7.914e-06 4.574 5.645e-06 * * *
perc.bl 0.0003091 0.03448 0.008964 0.9929
perc.hsp -0.08182 0.0227 -3.604 0.000335 * * *
ln.pop 0.01763 0.003355 5.256 1.946e-07 * * *
ln.aland -0.004287 0.004364 -0.9823 0.3263
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
728 37.98 0.4224 0.4144

outflow.dissim_wh.bl

outflow.dissim_wh.bl - perc.acres.sfz

outflow.dissim_wh.bl ~ perc.acres.sfz + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.1949 0.04688 -4.157 3.619e-05 * * *
perc.acres.sfz 0.04512 0.01714 2.633 0.008644 * *
pop.below.poverty -0.09248 0.105 -0.8809 0.3787
manufactur.emp 0.3062 0.1143 2.679 0.007548 * *
single.headed.fams 1.297 0.4357 2.976 0.003018 * *
under18 -0.004577 0.1076 -0.04254 0.9661
pop.dens 4.593e-05 7.834e-06 5.863 6.943e-09 * * *
perc.bl 0.01593 0.03372 0.4724 0.6368
perc.hsp -0.07671 0.02195 -3.495 0.0005042 * * *
ln.pop 0.01668 0.00295 5.653 2.287e-08 * * *
ln.aland 0.006773 0.004284 1.581 0.1143
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
724 37.06 0.3684 0.3595

outflow.dissim_wh.bl - poly.m

outflow.dissim_wh.bl ~ poly.m + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.167 0.0442 -3.779 0.0001705 * * *
poly.m 1.359 0.3301 4.116 4.305e-05 * * *
pop.below.poverty -0.06969 0.1042 -0.6685 0.504
manufactur.emp 0.372 0.1114 3.338 0.000886 * * *
single.headed.fams 0.8037 0.4416 1.82 0.06918
under18 -0.02988 0.1064 -0.2809 0.7788
pop.dens -9.56e-07 1.441e-05 -0.06635 0.9471
perc.bl 0.0795 0.03556 2.236 0.02567 *
perc.hsp -0.05545 0.0226 -2.454 0.01438 *
ln.pop 0.0143 0.002984 4.792 2.009e-06 * * *
ln.aland 0.01162 0.004481 2.594 0.00968 * *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
728 36.72 0.3769 0.3682

outflow.dissim_wh.bl - hwy.m

outflow.dissim_wh.bl ~ hwy.m + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.03322 0.05057 -0.6568 0.5115
hwy.m 0.005593 0.001146 4.879 1.316e-06 * * *
pop.below.poverty -0.06933 0.1037 -0.6687 0.5039
manufactur.emp 0.3188 0.1111 2.869 0.004245 * *
single.headed.fams 1.176 0.4285 2.744 0.006218 * *
under18 -0.1149 0.1089 -1.055 0.2917
pop.dens 5.133e-05 7.616e-06 6.74 3.265e-11 * * *
perc.bl 0.008997 0.03318 0.2711 0.7864
perc.hsp -0.06175 0.02185 -2.826 0.004837 * *
ln.pop 0.009971 0.003228 3.089 0.002089 * *
ln.aland 0.003549 0.0042 0.8449 0.3984
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
728 36.55 0.3827 0.3741

inflow.isol_wh

inflow.isol_wh - perc.acres.sfz

inflow.isol_wh ~ perc.acres.sfz + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.9804 0.04925 19.91 1.398e-70 * * *
perc.acres.sfz 0.03862 0.01801 2.145 0.03231 *
pop.below.poverty 0.1903 0.1103 1.726 0.08485
manufactur.emp 0.5955 0.1201 4.958 8.909e-07 * * *
single.headed.fams 1.003 0.4579 2.19 0.02882 *
under18 -0.1316 0.1131 -1.163 0.2451
pop.dens -3.144e-06 8.233e-06 -0.3819 0.7026
perc.bl -0.749 0.03544 -21.14 1.61e-77 * * *
perc.hsp -0.9257 0.02307 -40.13 8.267e-186 * * *
ln.pop -0.01304 0.003098 -4.21 2.883e-05 * * *
ln.aland -0.0003158 0.004502 -0.07015 0.9441
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
731 38.95 0.8913 0.8898

inflow.isol_wh - poly.m

inflow.isol_wh ~ poly.m + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) 1.011 0.04678 21.61 2.505e-80 * * *
poly.m 1.556 0.3496 4.452 9.862e-06 * * *
pop.below.poverty 0.2158 0.1104 1.955 0.05096
manufactur.emp 0.6644 0.118 5.631 2.564e-08 * * *
single.headed.fams 0.4195 0.4677 0.8971 0.37
under18 -0.1944 0.1127 -1.725 0.08493
pop.dens -5.911e-05 1.526e-05 -3.873 0.000117 * * *
perc.bl -0.6748 0.03766 -17.92 1.02e-59 * * *
perc.hsp -0.8943 0.02393 -37.37 4.339e-171 * * *
ln.pop -0.01544 0.003157 -4.891 1.236e-06 * * *
ln.aland 0.004837 0.004745 1.019 0.3085
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
735 38.89 0.8911 0.8896

inflow.isol_wh - hwy.m

inflow.isol_wh ~ hwy.m + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) 1.099 0.05421 20.28 8.967e-73 * * *
hwy.m 0.003447 0.00123 2.803 0.005192 * *
pop.below.poverty 0.1984 0.1112 1.785 0.07469
manufactur.emp 0.6241 0.1192 5.236 2.153e-07 * * *
single.headed.fams 0.8642 0.4595 1.88 0.06044
under18 -0.217 0.1168 -1.857 0.0637
pop.dens -2.856e-07 8.168e-06 -0.03497 0.9721
perc.bl -0.7463 0.0356 -20.97 1.228e-76 * * *
perc.hsp -0.914 0.02343 -39.01 3.872e-180 * * *
ln.pop -0.01676 0.003459 -4.845 1.55e-06 * * *
ln.aland -0.003517 0.004505 -0.7808 0.4352
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
735 39.21 0.8893 0.8878

inflow.isol_bl

inflow.isol_bl - perc.acres.sfz

inflow.isol_bl ~ perc.acres.sfz + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.2948 0.03385 -8.71 2.115e-17 * * *
perc.acres.sfz 0.06182 0.01237 4.997 7.34e-07 * * *
pop.below.poverty -0.0309 0.07579 -0.4077 0.6836
manufactur.emp 0.2731 0.08251 3.31 0.0009796 * * *
single.headed.fams 1.112 0.3146 3.534 0.0004352 * * *
under18 0.003146 0.07768 0.0405 0.9677
pop.dens 1.433e-05 5.656e-06 2.533 0.01151 *
perc.bl 1.154 0.02434 47.42 1.565e-222 * * *
perc.hsp -0.07744 0.01585 -4.887 1.267e-06 * * *
ln.pop 0.02212 0.00213 10.39 1.247e-23 * * *
ln.aland -0.009374 0.003093 -3.031 0.002528 * *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
723 26.75 0.9216 0.9205

inflow.isol_bl - poly.m

inflow.isol_bl ~ poly.m + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.256 0.0319 -8.028 4.074e-15 * * *
poly.m 1.421 0.2382 5.966 3.816e-09 * * *
pop.below.poverty -0.008295 0.07522 -0.1103 0.9122
manufactur.emp 0.3559 0.08041 4.426 1.108e-05 * * *
single.headed.fams 0.577 0.3187 1.81 0.07065
under18 -0.006461 0.07676 -0.08417 0.9329
pop.dens -3.335e-05 1.04e-05 -3.207 0.001399 * *
perc.bl 1.223 0.02566 47.67 2.5e-224 * * *
perc.hsp -0.05936 0.01631 -3.639 0.000293 * * *
ln.pop 0.01964 0.002153 9.122 7.365e-19 * * *
ln.aland -0.004603 0.003234 -1.424 0.155
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
727 26.5 0.9227 0.9216

inflow.isol_bl - hwy.m

inflow.isol_bl ~ hwy.m + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.1249 0.03648 -3.423 0.0006557 * * *
hwy.m 0.00545 0.0008269 6.591 8.5e-11 * * *
pop.below.poverty -0.01036 0.07477 -0.1385 0.8899
manufactur.emp 0.303 0.08015 3.781 0.0001694 * * *
single.headed.fams 0.9686 0.309 3.134 0.001792 * *
under18 -0.0853 0.07856 -1.086 0.278
pop.dens 2.12e-05 5.493e-06 3.859 0.000124 * * *
perc.bl 1.151 0.02393 48.07 2.483e-226 * * *
perc.hsp -0.06763 0.01576 -4.292 2.015e-05 * * *
ln.pop 0.01561 0.002329 6.702 4.159e-11 * * *
ln.aland -0.01293 0.003029 -4.268 2.241e-05 * * *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
727 26.36 0.9235 0.9224

outflow.isol_wh

outflow.isol_wh - perc.acres.sfz

outflow.isol_wh ~ perc.acres.sfz + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.8448 0.05275 16.02 1.315e-49 * * *
perc.acres.sfz 0.04363 0.01929 2.262 0.02399 *
pop.below.poverty 0.1786 0.1181 1.512 0.1309
manufactur.emp 0.5547 0.1286 4.312 1.842e-05 * * *
single.headed.fams 1.288 0.4904 2.626 0.008827 * *
under18 -0.06843 0.1211 -0.565 0.5722
pop.dens 4.858e-06 8.818e-06 0.5509 0.5818
perc.bl -0.7445 0.03795 -19.62 5.657e-69 * * *
perc.hsp -0.8841 0.02471 -35.78 6.251e-162 * * *
ln.pop -0.007246 0.003318 -2.184 0.02929 *
ln.aland 0.0002575 0.004822 0.0534 0.9574
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
731 41.72 0.8572 0.8553

outflow.isol_wh - poly.m

outflow.isol_wh ~ poly.m + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.8786 0.05003 17.56 8.858e-58 * * *
poly.m 1.601 0.3739 4.281 2.114e-05 * * *
pop.below.poverty 0.2045 0.118 1.733 0.08356
manufactur.emp 0.6292 0.1262 4.986 7.73e-07 * * *
single.headed.fams 0.685 0.5001 1.37 0.1712
under18 -0.1274 0.1205 -1.057 0.2908
pop.dens -5.225e-05 1.632e-05 -3.202 0.001426 * *
perc.bl -0.6678 0.04027 -16.58 1.344e-52 * * *
perc.hsp -0.8531 0.0256 -33.33 2.394e-148 * * *
ln.pop -0.009743 0.003377 -2.885 0.004025 * *
ln.aland 0.005524 0.005075 1.088 0.2768
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
735 41.59 0.8575 0.8555

outflow.isol_wh - hwy.m

outflow.isol_wh ~ hwy.m + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) 1.009 0.05757 17.52 1.444e-57 * * *
hwy.m 0.005338 0.001306 4.088 4.846e-05 * * *
pop.below.poverty 0.1976 0.1181 1.674 0.09457
manufactur.emp 0.5753 0.1266 4.545 6.441e-06 * * *
single.headed.fams 1.131 0.488 2.318 0.02075 *
under18 -0.1959 0.1241 -1.579 0.1148
pop.dens 8.877e-06 8.674e-06 1.023 0.3065
perc.bl -0.747 0.0378 -19.76 7.637e-70 * * *
perc.hsp -0.8658 0.02488 -34.8 1.083e-156 * * *
ln.pop -0.01329 0.003674 -3.618 0.0003173 * * *
ln.aland -0.003615 0.004784 -0.7556 0.4501
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
735 41.64 0.8572 0.8552

outflow.isol_bl

outflow.isol_bl - perc.acres.sfz

outflow.isol_bl ~ perc.acres.sfz + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.1346 0.02188 -6.154 1.262e-09 * * *
perc.acres.sfz 0.0241 0.007996 3.014 0.00267 * *
pop.below.poverty -0.04372 0.04898 -0.8926 0.3724
manufactur.emp 0.1962 0.05333 3.678 0.0002528 * * *
single.headed.fams 0.5851 0.2033 2.878 0.004128 * *
under18 0.02072 0.05021 0.4126 0.68
pop.dens 1.353e-06 3.656e-06 0.37 0.7115
perc.bl 1.102 0.01573 70.03 1.522e-321 * * *
perc.hsp -0.04371 0.01024 -4.268 2.24e-05 * * *
ln.pop 0.01333 0.001377 9.68 6.669e-21 * * *
ln.aland -0.00789 0.001999 -3.947 8.711e-05 * * *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
723 17.29 0.9561 0.9555

outflow.isol_bl - poly.m

outflow.isol_bl ~ poly.m + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.1221 0.02048 -5.963 3.893e-09 * * *
poly.m 0.829 0.1529 5.421 8.098e-08 * * *
pop.below.poverty -0.02796 0.04829 -0.5789 0.5628
manufactur.emp 0.2307 0.05162 4.47 9.081e-06 * * *
single.headed.fams 0.2952 0.2046 1.443 0.1494
under18 0.006356 0.04928 0.129 0.8974
pop.dens -2.74e-05 6.675e-06 -4.104 4.519e-05 * * *
perc.bl 1.139 0.01647 69.16 3.564e-319 * * *
perc.hsp -0.03077 0.01047 -2.939 0.003398 * *
ln.pop 0.01184 0.001382 8.568 6.447e-17 * * *
ln.aland -0.00473 0.002076 -2.278 0.023 *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
727 17.01 0.9573 0.9567

outflow.isol_bl - hwy.m

outflow.isol_bl ~ hwy.m + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.04451 0.02342 -1.9 0.05781
hwy.m 0.003227 0.0005309 6.079 1.969e-09 * * *
pop.below.poverty -0.02887 0.04801 -0.6013 0.5478
manufactur.emp 0.1996 0.05146 3.878 0.000115 * * *
single.headed.fams 0.5234 0.1984 2.638 0.008522 * *
under18 -0.04085 0.05044 -0.8099 0.4183
pop.dens 4.439e-06 3.527e-06 1.259 0.2086
perc.bl 1.097 0.01537 71.37 0 * * *
perc.hsp -0.03539 0.01012 -3.498 0.000497 * * *
ln.pop 0.009431 0.001495 6.308 4.958e-10 * * *
ln.aland -0.0096 0.001945 -4.936 9.931e-07 * * *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
727 16.93 0.9577 0.9571

residential.dissim_wh.bl

residential.dissim_wh.bl - perc.acres.sfz

residential.dissim_wh.bl ~ perc.acres.sfz + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.1998 0.05403 3.697 0.000235 * * *
perc.acres.sfz 0.1077 0.01975 5.452 6.884e-08 * * *
pop.below.poverty 0.1422 0.121 1.175 0.2403
manufactur.emp 0.4416 0.1317 3.352 0.0008434 * * *
single.headed.fams 1.59 0.5022 3.167 0.001607 * *
under18 0.1396 0.124 1.125 0.2608
pop.dens 9.973e-05 9.03e-06 11.04 2.73e-26 * * *
perc.bl -0.3636 0.03886 -9.357 1.044e-19 * * *
perc.hsp -0.09662 0.0253 -3.819 0.0001457 * * *
ln.pop 0.01065 0.0034 3.133 0.001799 * *
ln.aland 0.0085 0.004938 1.721 0.08564
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
724 42.71 0.4165 0.4084

residential.dissim_wh.bl - poly.m

residential.dissim_wh.bl ~ poly.m + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.2722 0.05053 5.387 9.744e-08 * * *
poly.m 2.799 0.3774 7.418 3.377e-13 * * *
pop.below.poverty 0.1854 0.1192 1.556 0.1201
manufactur.emp 0.5982 0.1274 4.696 3.179e-06 * * *
single.headed.fams 0.5332 0.5049 1.056 0.2912
under18 0.09072 0.1216 0.746 0.4559
pop.dens 3.987e-06 1.647e-05 0.2421 0.8088
perc.bl -0.2279 0.04065 -5.606 2.962e-08 * * *
perc.hsp -0.05442 0.02584 -2.106 0.03552 *
ln.pop 0.005888 0.003411 1.726 0.08479
ln.aland 0.01783 0.005123 3.481 0.000529 * * *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
728 41.98 0.4343 0.4264

residential.dissim_wh.bl - hwy.m

residential.dissim_wh.bl ~ hwy.m + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.3971 0.05979 6.641 6.162e-11 * * *
hwy.m 0.004636 0.001355 3.42 0.0006607 * * *
pop.below.poverty 0.1445 0.1226 1.179 0.2389
manufactur.emp 0.5363 0.1314 4.082 4.96e-05 * * *
single.headed.fams 1.343 0.5065 2.651 0.008192 * *
under18 0.0895 0.1288 0.695 0.4873
pop.dens 0.0001092 9.004e-06 12.13 6.012e-31 * * *
perc.bl -0.3515 0.03923 -8.961 2.759e-18 * * *
perc.hsp -0.0964 0.02583 -3.733 0.0002046 * * *
ln.pop 0.005421 0.003817 1.42 0.1559
ln.aland 0.003294 0.004965 0.6634 0.5073
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
728 43.21 0.4007 0.3923

residential.isol_wh

residential.isol_wh - perc.acres.sfz

residential.isol_wh ~ perc.acres.sfz + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.8446 0.04426 19.08 5.002e-66 * * *
perc.acres.sfz 0.04832 0.01618 2.986 0.002924 * *
pop.below.poverty 0.1451 0.09912 1.464 0.1436
manufactur.emp 0.6402 0.1079 5.931 4.677e-09 * * *
single.headed.fams 0.9876 0.4115 2.4 0.01665 *
under18 -0.2122 0.1016 -2.088 0.03711 *
pop.dens 2.798e-05 7.399e-06 3.782 0.0001684 * * *
perc.bl -0.5247 0.03185 -16.48 5.306e-52 * * *
perc.hsp -0.7448 0.02073 -35.93 7.885e-163 * * *
ln.pop -0.006137 0.002784 -2.205 0.02779 *
ln.aland 0.006159 0.004046 1.522 0.1284
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
732 35 0.8539 0.8519

residential.isol_wh - poly.m

residential.isol_wh ~ poly.m + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.8839 0.04221 20.94 1.667e-76 * * *
poly.m 1.375 0.3155 4.357 1.51e-05 * * *
pop.below.poverty 0.1645 0.09959 1.652 0.09897
manufactur.emp 0.7166 0.1065 6.73 3.449e-11 * * *
single.headed.fams 0.4451 0.422 1.055 0.292
under18 -0.2576 0.1017 -2.534 0.0115 *
pop.dens -2.041e-05 1.377e-05 -1.482 0.1388
perc.bl -0.4559 0.03398 -13.42 8.081e-37 * * *
perc.hsp -0.7199 0.0216 -33.33 1.985e-148 * * *
ln.pop -0.008193 0.002849 -2.875 0.004152 * *
ln.aland 0.01021 0.004282 2.385 0.01733 *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
736 35.1 0.8526 0.8506

residential.isol_wh - hwy.m

residential.isol_wh ~ hwy.m + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.9813 0.04873 20.14 5.558e-72 * * *
hwy.m 0.00393 0.001105 3.555 0.0004024 * * *
pop.below.poverty 0.1546 0.09994 1.547 0.1222
manufactur.emp 0.6749 0.1072 6.298 5.218e-10 * * *
single.headed.fams 0.8322 0.4131 2.014 0.04433 *
under18 -0.2999 0.105 -2.856 0.004419 * *
pop.dens 3.186e-05 7.343e-06 4.339 1.635e-05 * * *
perc.bl -0.5218 0.032 -16.31 3.666e-51 * * *
perc.hsp -0.7336 0.02106 -34.83 6.035e-157 * * *
ln.pop -0.01044 0.00311 -3.357 0.0008291 * * *
ln.aland 0.002565 0.00405 0.6333 0.5267
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
736 35.25 0.8513 0.8493

residential.isol_bl

residential.isol_bl - perc.acres.sfz

residential.isol_bl ~ perc.acres.sfz + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.4192 0.06232 -6.727 3.556e-11 * * *
perc.acres.sfz 0.07593 0.02278 3.333 0.0009027 * * *
pop.below.poverty 0.0963 0.1395 0.6901 0.4903
manufactur.emp 0.614 0.1519 4.042 5.887e-05 * * *
single.headed.fams 2.88 0.5792 4.973 8.276e-07 * * *
under18 -0.1722 0.143 -1.204 0.229
pop.dens 1.806e-05 1.041e-05 1.734 0.08339
perc.bl 1.207 0.04482 26.93 9.408e-111 * * *
perc.hsp -0.1976 0.02918 -6.772 2.652e-11 * * *
ln.pop 0.04783 0.003922 12.2 3.266e-31 * * *
ln.aland -0.03004 0.005695 -5.275 1.763e-07 * * *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
724 49.26 0.8497 0.8476

residential.isol_bl - poly.m

residential.isol_bl ~ poly.m + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.3844 0.05723 -6.717 3.779e-11 * * *
poly.m 3.323 0.4274 7.774 2.642e-14 * * *
pop.below.poverty 0.1625 0.135 1.204 0.2291
manufactur.emp 0.7324 0.1443 5.076 4.91e-07 * * *
single.headed.fams 1.751 0.5719 3.061 0.002287 * *
under18 -0.2499 0.1377 -1.814 0.07008
pop.dens -9.892e-05 1.866e-05 -5.301 1.533e-07 * * *
perc.bl 1.353 0.04604 29.39 3.347e-125 * * *
perc.hsp -0.1406 0.02927 -4.804 1.893e-06 * * *
ln.pop 0.04184 0.003864 10.83 2.062e-25 * * *
ln.aland -0.0168 0.005802 -2.896 0.003896 * *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
728 47.55 0.8593 0.8573

residential.isol_bl - hwy.m

residential.isol_bl ~ hwy.m + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.1632 0.06695 -2.438 0.01502 *
hwy.m 0.008837 0.001518 5.823 8.733e-09 * * *
pop.below.poverty 0.134 0.1372 0.9766 0.3291
manufactur.emp 0.6359 0.1471 4.323 1.76e-05 * * *
single.headed.fams 2.691 0.5672 4.745 2.523e-06 * * *
under18 -0.3355 0.1442 -2.327 0.02024 *
pop.dens 2.723e-05 1.008e-05 2.701 0.007072 * *
perc.bl 1.196 0.04393 27.22 1.295e-112 * * *
perc.hsp -0.1764 0.02892 -6.1 1.739e-09 * * *
ln.pop 0.0372 0.004274 8.704 2.189e-17 * * *
ln.aland -0.03508 0.00556 -6.31 4.897e-10 * * *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
728 48.38 0.8543 0.8523

Single-barricade Models; With residential seg controls

As above but with the only mvmt-based seg measures as dependent vars, with the residential analogs included as a regressor.

Setup:

Only iterate over mvmt-based seg measures and setup residential analogs to add to controls.

# same div.cols and controls
div.cols
## [1] "perc.acres.sfz" "poly.m"         "hwy.m"
controls
## [1] "pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland"
# only run over mvmt outcomes
(mvmt.yns <- yns[!grepl("residential", yns)])
## [1] "inflow.dissim_wh.bl"  "outflow.dissim_wh.bl" "inflow.isol_wh"      
## [4] "inflow.isol_bl"       "outflow.isol_wh"      "outflow.isol_bl"
# get "residential equivalents"
res.equiv <- 
  mvmt.yns %>% 
  gsub("inflow|outflow", "residential", .) %>% 
  gsub("seg", "dissim", .)

Results:

# outer loop -- yvars indices (use indices that match residential equivalents)
# inner loop: divisions
for(i in seq_len(length(mvmt.yns))) {

  yn <- mvmt.yns[[i]]
  res.control <- res.equiv[[i]]
  
  cat("\n\n###", yn, "\n")

  for(div in div.cols) {

    cat("\n\n####", yn, " - ", div, "\n")

    # concat to formula
    (mxtmp <- paste0(yn, " ~ ", div, " + ", res.control, " + ", controls))
    cat("\n", mxtmp, "\n")
    
    # run model
    mxtmp <-
      lm(mxtmp, data = inx, weights = inx$pop)

    pander::pander(summary(mxtmp),
                   add.significance.stars = T)
  }
}

inflow.dissim_wh.bl

inflow.dissim_wh.bl - perc.acres.sfz

inflow.dissim_wh.bl ~ perc.acres.sfz + residential.dissim_wh.bl + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

Table continues below
  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.3844 0.03742 -10.27 3.471e-23
perc.acres.sfz -0.004343 0.01383 -0.3141 0.7536
residential.dissim_wh.bl 0.5872 0.02569 22.86 3.707e-87
pop.below.poverty -0.09085 0.08308 -1.094 0.2745
manufactur.emp 0.2078 0.09107 2.281 0.02283
single.headed.fams 0.5976 0.3469 1.723 0.08538
under18 -0.06584 0.08514 -0.7734 0.4396
pop.dens -2.923e-05 6.703e-06 -4.36 1.489e-05
perc.bl 0.2203 0.02825 7.801 2.195e-14
perc.hsp -0.04105 0.01753 -2.342 0.01946
ln.pop 0.01916 0.002348 8.158 1.544e-15
ln.aland -0.005391 0.003394 -1.588 0.1127
 
(Intercept) * * *
perc.acres.sfz
residential.dissim_wh.bl * * *
pop.below.poverty
manufactur.emp *
single.headed.fams
under18
pop.dens * * *
perc.bl * * *
perc.hsp *
ln.pop * * *
ln.aland
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
724 29.3 0.6584 0.6531

inflow.dissim_wh.bl - poly.m

inflow.dissim_wh.bl ~ poly.m + residential.dissim_wh.bl + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

Table continues below
  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.3894 0.03587 -10.85 1.617e-25
poly.m 0.3436 0.2725 1.261 0.2077
residential.dissim_wh.bl 0.5755 0.02599 22.14 3.707e-83
pop.below.poverty -0.0797 0.08308 -0.9594 0.3377
manufactur.emp 0.2115 0.09 2.35 0.01903
single.headed.fams 0.5279 0.3517 1.501 0.1337
under18 -0.07607 0.08467 -0.8984 0.3693
pop.dens -4.076e-05 1.147e-05 -3.555 0.000403
perc.bl 0.228 0.0289 7.887 1.157e-14
perc.hsp -0.03484 0.01804 -1.931 0.05384
ln.pop 0.01855 0.002379 7.796 2.263e-14
ln.aland -0.003411 0.003595 -0.9488 0.3431
 
(Intercept) * * *
poly.m
residential.dissim_wh.bl * * *
pop.below.poverty
manufactur.emp *
single.headed.fams
under18
pop.dens * * *
perc.bl * * *
perc.hsp
ln.pop * * *
ln.aland
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
728 29.22 0.6587 0.6535

inflow.dissim_wh.bl - hwy.m

inflow.dissim_wh.bl ~ hwy.m + residential.dissim_wh.bl + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

Table continues below
  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.3013 0.0412 -7.313 6.992e-13
hwy.m 0.003831 0.0009138 4.193 3.097e-05
residential.dissim_wh.bl 0.571 0.02497 22.86 2.742e-87
pop.below.poverty -0.06445 0.08204 -0.7856 0.4324
manufactur.emp 0.1839 0.08888 2.069 0.03889
single.headed.fams 0.6131 0.3404 1.801 0.07213
under18 -0.1577 0.08614 -1.831 0.06759
pop.dens -2.618e-05 6.611e-06 -3.961 8.225e-05
perc.bl 0.201 0.02767 7.267 9.667e-13
perc.hsp -0.02677 0.01744 -1.535 0.1251
ln.pop 0.01454 0.002556 5.688 1.878e-08
ln.aland -0.006168 0.003321 -1.857 0.06373
 
(Intercept) * * *
hwy.m * * *
residential.dissim_wh.bl * * *
pop.below.poverty
manufactur.emp *
single.headed.fams
under18
pop.dens * * *
perc.bl * * *
perc.hsp
ln.pop * * *
ln.aland
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
728 28.9 0.6661 0.661

outflow.dissim_wh.bl

outflow.dissim_wh.bl - perc.acres.sfz

outflow.dissim_wh.bl ~ perc.acres.sfz + residential.dissim_wh.bl + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

Table continues below
  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.2967 0.03832 -7.743 3.338e-14
perc.acres.sfz -0.009776 0.01416 -0.6904 0.4902
residential.dissim_wh.bl 0.5098 0.02631 19.38 1.624e-67
pop.below.poverty -0.165 0.08508 -1.939 0.05289
manufactur.emp 0.08106 0.09327 0.8691 0.3851
single.headed.fams 0.4859 0.3553 1.368 0.1718
under18 -0.07573 0.08719 -0.8686 0.3854
pop.dens -4.914e-06 6.864e-06 -0.7159 0.4743
perc.bl 0.2013 0.02893 6.96 7.756e-12
perc.hsp -0.02744 0.01795 -1.529 0.1268
ln.pop 0.01124 0.002405 4.675 3.515e-06
ln.aland 0.00244 0.003476 0.702 0.4829
 
(Intercept) * * *
perc.acres.sfz
residential.dissim_wh.bl * * *
pop.below.poverty
manufactur.emp
single.headed.fams
under18
pop.dens
perc.bl * * *
perc.hsp
ln.pop * * *
ln.aland
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
724 30.01 0.5865 0.5801

outflow.dissim_wh.bl - poly.m

outflow.dissim_wh.bl ~ poly.m + residential.dissim_wh.bl + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

Table continues below
  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.305 0.03677 -8.295 5.38e-16
poly.m -0.06024 0.2793 -0.2157 0.8293
residential.dissim_wh.bl 0.5069 0.02664 19.03 1.239e-65
pop.below.poverty -0.1637 0.08516 -1.922 0.05498
manufactur.emp 0.06877 0.09225 0.7454 0.4563
single.headed.fams 0.5335 0.3604 1.48 0.1393
under18 -0.07587 0.08679 -0.8742 0.3823
pop.dens -2.977e-06 1.175e-05 -0.2533 0.8001
perc.bl 0.195 0.02963 6.582 8.979e-11
perc.hsp -0.02787 0.01849 -1.507 0.1322
ln.pop 0.01131 0.002439 4.64 4.149e-06
ln.aland 0.002584 0.003685 0.7011 0.4835
 
(Intercept) * * *
poly.m
residential.dissim_wh.bl * * *
pop.below.poverty
manufactur.emp
single.headed.fams
under18
pop.dens
perc.bl * * *
perc.hsp
ln.pop * * *
ln.aland
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
728 29.95 0.5862 0.5798

outflow.dissim_wh.bl - hwy.m

outflow.dissim_wh.bl ~ hwy.m + residential.dissim_wh.bl + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

Table continues below
  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.2293 0.04233 -5.417 8.265e-08
hwy.m 0.003304 0.0009389 3.518 0.0004615
residential.dissim_wh.bl 0.4939 0.02566 19.25 7.614e-67
pop.below.poverty -0.1407 0.0843 -1.669 0.09559
manufactur.emp 0.05388 0.09132 0.59 0.5554
single.headed.fams 0.5124 0.3498 1.465 0.1434
under18 -0.1591 0.08852 -1.798 0.07264
pop.dens -2.628e-06 6.793e-06 -0.387 0.6989
perc.bl 0.1826 0.02843 6.424 2.419e-10
perc.hsp -0.01414 0.01792 -0.7889 0.4305
ln.pop 0.007294 0.002626 2.777 0.00563
ln.aland 0.001922 0.003413 0.5631 0.5735
 
(Intercept) * * *
hwy.m * * *
residential.dissim_wh.bl * * *
pop.below.poverty
manufactur.emp
single.headed.fams
under18
pop.dens
perc.bl * * *
perc.hsp
ln.pop * *
ln.aland
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
728 29.69 0.5932 0.5869

inflow.isol_wh

inflow.isol_wh - perc.acres.sfz

inflow.isol_wh ~ perc.acres.sfz + residential.isol_wh + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.07572 0.01624 4.663 3.722e-06 * * *
perc.acres.sfz -0.01314 0.00487 -2.697 0.007152 * *
residential.isol_wh 1.071 0.01114 96.16 0 * * *
pop.below.poverty 0.03486 0.02969 1.174 0.2407
manufactur.emp -0.09024 0.03306 -2.73 0.006497 * *
single.headed.fams -0.05493 0.1236 -0.4446 0.6568
under18 0.09577 0.03049 3.141 0.001751 * *
pop.dens -3.312e-05 2.235e-06 -14.82 1.487e-43 * * *
perc.bl -0.187 0.01117 -16.74 2.43e-53 * * *
perc.hsp -0.1279 0.01036 -12.35 6.667e-32 * * *
ln.pop -0.006467 0.0008354 -7.741 3.355e-14 * * *
ln.aland -0.006912 0.001212 -5.703 1.721e-08 * * *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
731 10.47 0.9922 0.992

inflow.isol_wh - poly.m

inflow.isol_wh ~ poly.m + residential.isol_wh + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.0685 0.01598 4.286 2.064e-05 * * *
poly.m 0.09055 0.09551 0.948 0.3434
residential.isol_wh 1.066 0.0111 96.08 0 * * *
pop.below.poverty 0.04031 0.02982 1.352 0.1769
manufactur.emp -0.09977 0.0328 -3.042 0.002437 * *
single.headed.fams -0.0551 0.1262 -0.4366 0.6626
under18 0.08033 0.03052 2.632 0.008658 * *
pop.dens -3.735e-05 4.122e-06 -9.061 1.188e-18 * * *
perc.bl -0.1886 0.01135 -16.63 8.195e-53 * * *
perc.hsp -0.1266 0.01027 -12.33 8.026e-32 * * *
ln.pop -0.006707 0.0008563 -7.832 1.713e-14 * * *
ln.aland -0.006055 0.001285 -4.713 2.93e-06 * * *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
735 10.49 0.9921 0.992

inflow.isol_wh - hwy.m

inflow.isol_wh ~ hwy.m + residential.isol_wh + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.04808 0.01805 2.663 0.007906 * *
hwy.m -0.0007632 0.0003308 -2.307 0.02131 *
residential.isol_wh 1.071 0.01102 97.24 0 * * *
pop.below.poverty 0.03277 0.0297 1.103 0.2702
manufactur.emp -0.09897 0.03265 -3.031 0.002521 * *
single.headed.fams -0.02746 0.1229 -0.2234 0.8233
under18 0.1044 0.03133 3.331 0.0009107 * * *
pop.dens -3.442e-05 2.206e-06 -15.6 1.662e-47 * * *
perc.bl -0.1872 0.0111 -16.87 4.315e-54 * * *
perc.hsp -0.128 0.01022 -12.53 9.412e-33 * * *
ln.pop -0.005575 0.0009297 -5.997 3.171e-09 * * *
ln.aland -0.006265 0.001202 -5.214 2.421e-07 * * *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
735 10.46 0.9921 0.992

inflow.isol_bl

inflow.isol_bl - perc.acres.sfz

inflow.isol_bl ~ perc.acres.sfz + residential.isol_bl + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.09558 0.01688 -5.662 2.168e-08 * * *
perc.acres.sfz 0.02574 0.00603 4.269 2.229e-05 * * *
residential.isol_bl 0.4751 0.009837 48.3 9.918e-227 * * *
pop.below.poverty -0.07668 0.03667 -2.091 0.03685 *
manufactur.emp -0.01862 0.04036 -0.4615 0.6446
single.headed.fams -0.2568 0.1548 -1.659 0.09747
under18 0.08494 0.0376 2.259 0.0242 *
pop.dens 5.753e-06 2.741e-06 2.099 0.03619 *
perc.bl 0.5808 0.01672 34.74 2.431e-155 * * *
perc.hsp 0.01645 0.007907 2.081 0.03779 *
ln.pop -0.0006038 0.001132 -0.5331 0.5941
ln.aland 0.004901 0.001525 3.214 0.001368 * *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
723 12.94 0.9817 0.9814

inflow.isol_bl - poly.m

inflow.isol_bl ~ poly.m + residential.isol_bl + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.06965 0.01619 -4.301 1.934e-05 * * *
poly.m -0.1898 0.1221 -1.554 0.1207
residential.isol_bl 0.4848 0.01025 47.3 2.223e-222 * * *
pop.below.poverty -0.08708 0.03708 -2.348 0.01912 *
manufactur.emp 0.0008155 0.0403 0.02024 0.9839
single.headed.fams -0.2718 0.158 -1.721 0.08575
under18 0.1147 0.03789 3.026 0.002565 * *
pop.dens 1.461e-05 5.22e-06 2.798 0.005279 * *
perc.bl 0.5671 0.01876 30.23 5.942e-130 * * *
perc.hsp 0.008812 0.00816 1.08 0.2805
ln.pop -0.0006433 0.001144 -0.5624 0.574
ln.aland 0.003544 0.001602 2.213 0.02724 *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
727 13.05 0.9813 0.981

inflow.isol_bl - hwy.m

inflow.isol_bl ~ hwy.m + residential.isol_bl + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.04749 0.01805 -2.631 0.008689 * *
hwy.m 0.001262 0.0004169 3.027 0.002557 * *
residential.isol_bl 0.4739 0.01003 47.27 3.192e-222 * * *
pop.below.poverty -0.07388 0.03686 -2.004 0.04542 *
manufactur.emp 0.00167 0.04 0.04174 0.9667
single.headed.fams -0.3067 0.1546 -1.984 0.04769 *
under18 0.0737 0.03885 1.897 0.05825
pop.dens 8.295e-06 2.72e-06 3.05 0.002376 * *
perc.bl 0.5839 0.01682 34.72 1.46e-155 * * *
perc.hsp 0.01597 0.007962 2.006 0.04522 *
ln.pop -0.002022 0.001206 -1.676 0.0941
ln.aland 0.003697 0.001533 2.411 0.01614 *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
727 12.99 0.9815 0.9812

outflow.isol_wh

outflow.isol_wh - perc.acres.sfz

outflow.isol_wh ~ perc.acres.sfz + residential.isol_wh + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.1159 0.01919 -6.04 2.474e-09 * * *
perc.acres.sfz -0.01134 0.005754 -1.97 0.04918 *
residential.isol_wh 1.137 0.01316 86.44 0 * * *
pop.below.poverty 0.01356 0.03508 0.3866 0.6992
manufactur.emp -0.1735 0.03906 -4.441 1.038e-05 * * *
single.headed.fams 0.1644 0.146 1.126 0.2606
under18 0.173 0.03602 4.802 1.908e-06 * * *
pop.dens -2.697e-05 2.64e-06 -10.22 5.721e-23 * * *
perc.bl -0.1477 0.0132 -11.19 6.606e-27 * * *
perc.hsp -0.03685 0.01224 -3.012 0.002691 * *
ln.pop -0.0002653 0.000987 -0.2688 0.7881
ln.aland -0.006748 0.001432 -4.712 2.945e-06 * * *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
731 12.37 0.9875 0.9873

outflow.isol_wh - poly.m

outflow.isol_wh ~ poly.m + residential.isol_wh + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.1208 0.01888 -6.398 2.829e-10 * * *
poly.m 0.04645 0.1128 0.4117 0.6807
residential.isol_wh 1.131 0.01311 86.23 0 * * *
pop.below.poverty 0.0185 0.03522 0.5252 0.5996
manufactur.emp -0.181 0.03875 -4.673 3.548e-06 * * *
single.headed.fams 0.1818 0.1491 1.22 0.223
under18 0.1638 0.03605 4.545 6.432e-06 * * *
pop.dens -2.918e-05 4.869e-06 -5.993 3.248e-09 * * *
perc.bl -0.1524 0.0134 -11.37 1.106e-27 * * *
perc.hsp -0.0392 0.01213 -3.23 0.001292 * *
ln.pop -0.0004809 0.001012 -0.4754 0.6346
ln.aland -0.006023 0.001518 -3.969 7.943e-05 * * *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
735 12.39 0.9874 0.9872

outflow.isol_wh - hwy.m

outflow.isol_wh ~ hwy.m + residential.isol_wh + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.0978 0.02131 -4.589 5.26e-06 * * *
hwy.m 0.0009069 0.0003905 2.322 0.0205 *
residential.isol_wh 1.127 0.01301 86.68 0 * * *
pop.below.poverty 0.02329 0.03506 0.6643 0.5067
manufactur.emp -0.1856 0.03855 -4.816 1.785e-06 * * *
single.headed.fams 0.1927 0.1451 1.328 0.1846
under18 0.1422 0.03699 3.845 0.0001311 * * *
pop.dens -2.704e-05 2.605e-06 -10.38 1.248e-23 * * *
perc.bl -0.1586 0.0131 -12.11 7.461e-31 * * *
perc.hsp -0.03872 0.01206 -3.21 0.001385 * *
ln.pop -0.001522 0.001098 -1.387 0.166
ln.aland -0.006507 0.001419 -4.586 5.326e-06 * * *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
735 12.34 0.9875 0.9873

outflow.isol_bl

outflow.isol_bl - perc.acres.sfz

outflow.isol_bl ~ perc.acres.sfz + residential.isol_bl + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.02132 0.01439 -1.481 0.139
perc.acres.sfz 0.003581 0.005142 0.6965 0.4863
residential.isol_bl 0.2702 0.008388 32.22 4.248e-141 * * *
pop.below.poverty -0.06976 0.03127 -2.231 0.02598 *
manufactur.emp 0.03022 0.03442 0.8781 0.3802
single.headed.fams -0.1933 0.132 -1.465 0.1434
under18 0.06723 0.03207 2.097 0.03637 *
pop.dens -3.525e-06 2.337e-06 -1.508 0.132
perc.bl 0.7756 0.01426 54.4 1.299e-255 * * *
perc.hsp 0.009688 0.006742 1.437 0.1512
ln.pop 0.0003991 0.0009657 0.4132 0.6796
ln.aland 0.0002287 0.0013 0.1759 0.8604
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
723 11.03 0.9822 0.9819

outflow.isol_bl - poly.m

outflow.isol_bl ~ poly.m + residential.isol_bl + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.01722 0.01366 -1.261 0.2077
poly.m -0.0774 0.103 -0.7514 0.4527
residential.isol_bl 0.2728 0.008643 31.56 1.296e-137 * * *
pop.below.poverty -0.07229 0.03127 -2.312 0.02108 *
manufactur.emp 0.03096 0.03399 0.911 0.3626
single.headed.fams -0.1823 0.1332 -1.369 0.1716
under18 0.07451 0.03195 2.332 0.01999 *
pop.dens -4.162e-07 4.402e-06 -0.09455 0.9247
perc.bl 0.7701 0.01582 48.67 3.77e-229 * * *
perc.hsp 0.007582 0.006881 1.102 0.2709
ln.pop 0.0004304 0.0009646 0.4461 0.6556
ln.aland -0.0001457 0.001351 -0.1079 0.9141
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
727 11 0.9822 0.9819

outflow.isol_bl - hwy.m

outflow.isol_bl ~ hwy.m + residential.isol_bl + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.bl + perc.hsp + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.001 0.01523 -0.06568 0.9477
hwy.m 0.0008724 0.0003519 2.479 0.01339 *
residential.isol_bl 0.2665 0.008461 31.5 2.974e-137 * * *
pop.below.poverty -0.06459 0.03111 -2.076 0.03824 *
manufactur.emp 0.0301 0.03376 0.8916 0.3729
single.headed.fams -0.1938 0.1305 -1.485 0.138
under18 0.04856 0.03279 1.481 0.1391
pop.dens -2.818e-06 2.296e-06 -1.227 0.2201
perc.bl 0.778 0.01419 54.82 2.862e-258 * * *
perc.hsp 0.01162 0.00672 1.729 0.08424
ln.pop -0.0004831 0.001018 -0.4745 0.6353
ln.aland -0.0002511 0.001294 -0.1941 0.8462
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
727 10.96 0.9823 0.982