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    cz_name      perc.acres.sfz        poly.m hwy.m
##   <chr> <chr>                 <dbl>         <dbl> <dbl>
## 1 00100 Johnson City          0.605 0.00000000765     2
## 2 00200 Morristown            0.465 0.00000000597     0
# hwys is interstates and poly.m is sum(polys)/area

# control vars
(controls <- xns[! xns %in% c(div.cols, "population", "aland")])
##  [1] "pop.below.poverty"  "manufactur.emp"     "single.headed.fams"
##  [4] "under18"            "pop.dens"           "perc.white"        
##  [7] "perc.black"         "perc.latino"        "ln.pop"            
## [10] "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$population)

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

inflow.seg

inflow.seg - perc.acres.sfz

inflow.seg ~ perc.acres.sfz + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.2552 0.09923 -2.571 0.01033 *
perc.acres.sfz 0.07736 0.01759 4.397 1.265e-05 * * *
pop.below.poverty -0.005849 0.108 -0.05418 0.9568
manufactur.emp 0.3621 0.1176 3.078 0.002164 * *
single.headed.fams 1.724 0.4495 3.835 0.0001365 * * *
under18 -0.05919 0.1094 -0.541 0.5887
pop.dens 30.14 8.245 3.656 0.0002752 * * *
perc.white 0.0709 0.02747 2.581 0.01005 *
perc.black 0.05339 0.04134 1.292 0.1969
perc.latino -0.1484 0.02283 -6.503 1.471e-10 * * *
ln.pop 0.02275 0.003033 7.501 1.875e-13 * * *
ln.aland -0.002067 0.004454 -0.464 0.6428
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
730 38.06 0.4062 0.3971

inflow.seg - poly.m

inflow.seg ~ poly.m + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.2792 0.09732 -2.869 0.004237 * *
poly.m 2148564 339002 6.338 4.103e-10 * * *
pop.below.poverty 0.03964 0.1067 0.3717 0.7102
manufactur.emp 0.4786 0.1141 4.194 3.087e-05 * * *
single.headed.fams 0.9314 0.4524 2.059 0.03989 *
under18 -0.09182 0.1075 -0.8538 0.3935
pop.dens -45.53 15.22 -2.992 0.002868 * *
perc.white 0.05249 0.02711 1.936 0.05328
perc.black 0.1387 0.04142 3.348 0.0008572 * * *
perc.latino -0.1206 0.02313 -5.213 2.435e-07 * * *
ln.pop 0.0188 0.003054 6.156 1.238e-09 * * *
ln.aland 0.004857 0.004585 1.059 0.2899
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
733 37.47 0.4224 0.4136

inflow.seg - hwy.m

inflow.seg ~ hwy.m + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.03326 0.1039 -0.32 0.7491
hwy.m 0.004425 0.001199 3.692 0.0002393 * * *
pop.below.poverty -0.000846 0.1085 -0.007795 0.9938
manufactur.emp 0.428 0.1167 3.667 0.0002637 * * *
single.headed.fams 1.578 0.4495 3.509 0.000477 * * *
under18 -0.1067 0.1136 -0.9392 0.3479
pop.dens 37.41 8.164 4.581 5.443e-06 * * *
perc.white 0.0679 0.02742 2.476 0.01351 *
perc.black 0.05651 0.04128 1.369 0.1715
perc.latino -0.1449 0.02304 -6.289 5.534e-10 * * *
ln.pop 0.01748 0.003401 5.138 3.582e-07 * * *
ln.aland -0.006172 0.004499 -1.372 0.1705
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
730 38.14 0.4035 0.3944

outflow.seg

outflow.seg - perc.acres.sfz

outflow.seg ~ perc.acres.sfz + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.2728 0.09571 -2.85 0.004492 * *
perc.acres.sfz 0.05944 0.01697 3.502 0.0004897 * * *
pop.below.poverty -0.09509 0.1041 -0.9131 0.3615
manufactur.emp 0.2364 0.1135 2.083 0.03761 *
single.headed.fams 1.377 0.4335 3.175 0.001562 * *
under18 -0.06934 0.1055 -0.6571 0.5113
pop.dens 48.52 7.952 6.101 1.722e-09 * * *
perc.white 0.06405 0.0265 2.417 0.0159 *
perc.black 0.07341 0.03987 1.841 0.06599
perc.latino -0.11 0.02202 -4.995 7.392e-07 * * *
ln.pop 0.01401 0.002926 4.789 2.035e-06 * * *
ln.aland 0.00513 0.004296 1.194 0.2328
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
730 36.71 0.3598 0.35

outflow.seg - poly.m

outflow.seg ~ poly.m + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.2846 0.09459 -3.009 0.002714 * *
poly.m 1520815 329493 4.616 4.639e-06 * * *
pop.below.poverty -0.06385 0.1037 -0.616 0.5381
manufactur.emp 0.3227 0.1109 2.909 0.003736 * *
single.headed.fams 0.8072 0.4397 1.836 0.06682
under18 -0.08842 0.1045 -0.846 0.3978
pop.dens -4.678 14.79 -0.3163 0.7519
perc.white 0.05146 0.02635 1.953 0.05125
perc.black 0.135 0.04026 3.354 0.0008371 * * *
perc.latino -0.09125 0.02248 -4.059 5.463e-05 * * *
ln.pop 0.01125 0.002968 3.789 0.0001641 * * *
ln.aland 0.009886 0.004457 2.218 0.02685 *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
733 36.42 0.3676 0.3579

outflow.seg - hwy.m

outflow.seg ~ hwy.m + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.08208 0.09956 -0.8244 0.41
hwy.m 0.003557 0.001148 3.098 0.002023 * *
pop.below.poverty -0.09121 0.104 -0.8773 0.3806
manufactur.emp 0.2831 0.1118 2.532 0.01155 *
single.headed.fams 1.299 0.4306 3.015 0.002656 * *
under18 -0.09599 0.1088 -0.8822 0.378
pop.dens 52.92 7.821 6.766 2.749e-11 * * *
perc.white 0.06136 0.02627 2.336 0.01977 *
perc.black 0.07254 0.03955 1.834 0.06704
perc.latino -0.1068 0.02208 -4.84 1.592e-06 * * *
ln.pop 0.01025 0.003258 3.146 0.001726 * *
ln.aland 0.0007571 0.00431 0.1757 0.8606
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
730 36.54 0.363 0.3532

inflow.isol_white

inflow.isol_white - perc.acres.sfz

inflow.isol_white ~ perc.acres.sfz + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.02619 0.02042 -1.283 0.1999
perc.acres.sfz 0.01928 0.00362 5.327 1.336e-07 * * *
pop.below.poverty 0.04926 0.02221 2.218 0.02685 *
manufactur.emp -0.01527 0.0242 -0.631 0.5282
single.headed.fams 0.3616 0.09247 3.911 0.0001006 * * *
under18 0.08023 0.02251 3.564 0.0003888 * * *
pop.dens 14.28 1.696 8.417 2.061e-16 * * *
perc.white 0.9319 0.005653 164.9 0 * * *
perc.black 0.05158 0.008505 6.064 2.134e-09 * * *
perc.latino -0.0412 0.004696 -8.774 1.231e-17 * * *
ln.pop -0.0006242 0.0006236 -1.001 0.3172
ln.aland 0.002008 0.0009163 2.191 0.02875 *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
735 7.832 0.9906 0.9904

inflow.isol_white - poly.m

inflow.isol_white ~ poly.m + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.01901 0.02048 -0.9283 0.3536
poly.m 282572 71337 3.961 8.196e-05 * * *
pop.below.poverty 0.05291 0.02244 2.358 0.01861 *
manufactur.emp 0.009971 0.02401 0.4152 0.6781
single.headed.fams 0.2367 0.09519 2.487 0.01311 *
under18 0.08119 0.02263 3.588 0.0003556 * * *
pop.dens 5.051 3.202 1.577 0.1152
perc.white 0.9308 0.005706 163.1 0 * * *
perc.black 0.06624 0.008716 7.6 9.164e-14 * * *
perc.latino -0.03893 0.004867 -8 4.903e-15 * * *
ln.pop -0.001078 0.0006421 -1.678 0.0937
ln.aland 0.002635 0.0009649 2.731 0.006465 * *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
739 7.886 0.9904 0.9903

inflow.isol_white - hwy.m

inflow.isol_white ~ hwy.m + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.008803 0.0216 0.4075 0.6837
hwy.m 0.0002765 0.0002491 1.11 0.2673
pop.below.poverty 0.04592 0.02255 2.036 0.04209 *
manufactur.emp 0.004897 0.02426 0.2018 0.8401
single.headed.fams 0.3313 0.09343 3.546 0.0004165 * * *
under18 0.08915 0.02361 3.776 0.0001723 * * *
pop.dens 15.56 1.697 9.172 4.768e-19 * * *
perc.white 0.9333 0.005699 163.8 0 * * *
perc.black 0.05615 0.008581 6.544 1.135e-10 * * *
perc.latino -0.04334 0.004789 -9.049 1.312e-18 * * *
ln.pop -0.0007527 0.0007063 -1.066 0.2869
ln.aland 0.001 0.0009351 1.07 0.2851
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
735 7.928 0.9904 0.9902

inflow.isol_black

inflow.isol_black - perc.acres.sfz

inflow.isol_black ~ perc.acres.sfz + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.38 0.06716 -5.658 2.218e-08 * * *
perc.acres.sfz 0.0573 0.01191 4.811 1.829e-06 * * *
pop.below.poverty -0.06271 0.07308 -0.8582 0.3911
manufactur.emp 0.2209 0.07963 2.774 0.005685 * *
single.headed.fams 1.125 0.3042 3.697 0.0002353 * * *
under18 0.02185 0.07405 0.2951 0.768
pop.dens 23.96 5.581 4.294 2e-05 * * *
perc.white 0.1184 0.01859 6.367 3.451e-10 * * *
perc.black 1.239 0.02798 44.29 2.802e-207 * * *
perc.latino -0.06672 0.01545 -4.318 1.795e-05 * * *
ln.pop 0.0239 0.002053 11.64 8.655e-29 * * *
ln.aland -0.005395 0.003015 -1.79 0.07393
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
728 25.76 0.9283 0.9272

inflow.isol_black - poly.m

inflow.isol_black ~ poly.m + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.379 0.06659 -5.692 1.831e-08 * * *
poly.m 1218528 231942 5.254 1.967e-07 * * *
pop.below.poverty -0.03767 0.07297 -0.5162 0.6058
manufactur.emp 0.2995 0.07809 3.835 0.0001363 * * *
single.headed.fams 0.6581 0.3096 2.126 0.03386 *
under18 0.01894 0.07358 0.2574 0.797
pop.dens -17.79 10.41 -1.708 0.08804
perc.white 0.1067 0.01855 5.751 1.311e-08 * * *
perc.black 1.289 0.02834 45.47 8.049e-214 * * *
perc.latino -0.055 0.01583 -3.475 0.0005411 * * *
ln.pop 0.02163 0.00209 10.35 1.674e-23 * * *
ln.aland -0.001769 0.003137 -0.5638 0.573
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
732 25.64 0.9286 0.9275

inflow.isol_black - hwy.m

inflow.isol_black ~ hwy.m + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.1644 0.06944 -2.368 0.01814 *
hwy.m 0.005038 0.0008008 6.291 5.485e-10 * * *
pop.below.poverty -0.04248 0.07251 -0.5858 0.5582
manufactur.emp 0.2556 0.07799 3.278 0.001096 * *
single.headed.fams 1.001 0.3003 3.333 0.0009049 * * *
under18 -0.05643 0.07589 -0.7436 0.4574
pop.dens 29.87 5.455 5.476 6.012e-08 * * *
perc.white 0.1111 0.01832 6.067 2.115e-09 * * *
perc.black 1.231 0.02758 44.63 5.456e-209 * * *
perc.latino -0.05858 0.0154 -3.805 0.0001541 * * *
ln.pop 0.01772 0.002273 7.797 2.238e-14 * * *
ln.aland -0.008959 0.003006 -2.981 0.002975 * *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
728 25.48 0.9296 0.9286

outflow.isol_white

outflow.isol_white - perc.acres.sfz

outflow.isol_white ~ perc.acres.sfz + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.3617 0.03735 9.685 6.128e-21 * * *
perc.acres.sfz 0.0383 0.006622 5.783 1.092e-08 * * *
pop.below.poverty 0.04918 0.04063 1.211 0.2265
manufactur.emp -0.06716 0.04428 -1.517 0.1298
single.headed.fams 0.8404 0.1692 4.968 8.47e-07 * * *
under18 0.1664 0.04118 4.039 5.93e-05 * * *
pop.dens 23.45 3.103 7.557 1.249e-13 * * *
perc.white 0.3682 0.01034 35.61 3.578e-161 * * *
perc.black -0.539 0.01556 -34.64 9.479e-156 * * *
perc.latino -0.6085 0.008592 -70.83 0 * * *
ln.pop 0.007761 0.001141 6.802 2.158e-11 * * *
ln.aland 0.002026 0.001676 1.209 0.2272
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
735 14.33 0.9698 0.9693

outflow.isol_white - poly.m

outflow.isol_white ~ poly.m + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.3674 0.03724 9.865 1.248e-21 * * *
poly.m 714148 129730 5.505 5.125e-08 * * *
pop.below.poverty 0.06314 0.0408 1.548 0.1221
manufactur.emp -0.01709 0.04367 -0.3914 0.6956
single.headed.fams 0.559 0.1731 3.229 0.001297 * *
under18 0.1692 0.04115 4.111 4.397e-05 * * *
pop.dens -0.6321 5.823 -0.1085 0.9136
perc.white 0.3616 0.01038 34.85 3.091e-157 * * *
perc.black -0.5091 0.01585 -32.12 1.364e-141 * * *
perc.latino -0.6028 0.00885 -68.11 8.543e-318 * * *
ln.pop 0.006458 0.001168 5.53 4.466e-08 * * *
ln.aland 0.004018 0.001755 2.29 0.02232 *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
739 14.34 0.9696 0.9691

outflow.isol_white - hwy.m

outflow.isol_white ~ hwy.m + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.4578 0.03955 11.57 1.525e-28 * * *
hwy.m 0.001678 0.0004561 3.68 0.0002509 * * *
pop.below.poverty 0.0552 0.04129 1.337 0.1818
manufactur.emp -0.03589 0.04442 -0.8078 0.4195
single.headed.fams 0.7607 0.1711 4.447 1.01e-05 * * *
under18 0.1522 0.04323 3.522 0.0004556 * * *
pop.dens 26.88 3.107 8.652 3.261e-17 * * *
perc.white 0.3665 0.01044 35.12 1.915e-158 * * *
perc.black -0.5373 0.01571 -34.2 3.176e-153 * * *
perc.latino -0.6099 0.00877 -69.55 1.68e-322 * * *
ln.pop 0.005783 0.001293 4.472 9.014e-06 * * *
ln.aland 0.0002255 0.001712 0.1317 0.8952
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
735 14.52 0.969 0.9685

outflow.isol_black

outflow.isol_black - perc.acres.sfz

outflow.isol_black ~ perc.acres.sfz + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.1177 0.04686 -2.512 0.01222 *
perc.acres.sfz 0.03125 0.008309 3.761 0.000183 * * *
pop.below.poverty -0.01872 0.05099 -0.3672 0.7136
manufactur.emp 0.1356 0.05556 2.441 0.01487 *
single.headed.fams 0.5651 0.2123 2.662 0.007934 * *
under18 0.117 0.05166 2.265 0.02378 *
pop.dens 6.916 3.894 1.776 0.07612
perc.white -0.008516 0.01297 -0.6564 0.5118
perc.black 1.069 0.01952 54.74 4.208e-258 * * *
perc.latino -0.1229 0.01078 -11.4 8.409e-28 * * *
ln.pop 0.01468 0.001433 10.24 4.515e-23 * * *
ln.aland -0.004896 0.002103 -2.328 0.0202 *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
728 17.97 0.9549 0.9542

outflow.isol_black - poly.m

outflow.isol_black ~ poly.m + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.142 0.04541 -3.127 0.001836 * *
poly.m 1141335 158161 7.216 1.359e-12 * * *
pop.below.poverty 0.008371 0.04976 0.1682 0.8665
manufactur.emp 0.1865 0.05325 3.502 0.0004906 * * *
single.headed.fams 0.1658 0.2111 0.7857 0.4323
under18 0.09431 0.05017 1.88 0.06056
pop.dens -34.07 7.1 -4.799 1.941e-06 * * *
perc.white -0.01965 0.01265 -1.553 0.1208
perc.black 1.11 0.01932 57.45 4.062e-271 * * *
perc.latino -0.1067 0.01079 -9.886 1.07e-21 * * *
ln.pop 0.01252 0.001425 8.788 1.104e-17 * * *
ln.aland -0.0009163 0.002139 -0.4283 0.6685
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
732 17.48 0.9571 0.9564

outflow.isol_black - hwy.m

outflow.isol_black ~ hwy.m + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.004869 0.04872 -0.09995 0.9204
hwy.m 0.00259 0.0005618 4.61 4.776e-06 * * *
pop.below.poverty -0.00938 0.05087 -0.1844 0.8538
manufactur.emp 0.157 0.05471 2.869 0.004236 * *
single.headed.fams 0.497 0.2107 2.359 0.01862 *
under18 0.07611 0.05324 1.43 0.1533
pop.dens 10.12 3.827 2.644 0.008384 * *
perc.white -0.01173 0.01285 -0.9128 0.3616
perc.black 1.066 0.01935 55.07 1.312e-259 * * *
perc.latino -0.1187 0.0108 -10.99 4.672e-26 * * *
ln.pop 0.0115 0.001595 7.209 1.433e-12 * * *
ln.aland -0.006768 0.002109 -3.21 0.001389 * *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
728 17.88 0.9552 0.9546

residential.dissim

residential.dissim - perc.acres.sfz

residential.dissim ~ perc.acres.sfz + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.2691 0.115 -2.34 0.01958 *
perc.acres.sfz 0.1148 0.02039 5.628 2.615e-08 * * *
pop.below.poverty 0.1154 0.1251 0.9221 0.3568
manufactur.emp 0.3361 0.1364 2.465 0.01393 *
single.headed.fams 1.823 0.521 3.499 0.0004956 * * *
under18 0.155 0.1268 1.223 0.2219
pop.dens 110 9.556 11.51 2.882e-28 * * *
perc.white 0.2431 0.03184 7.633 7.303e-14 * * *
perc.black -0.1773 0.04791 -3.7 0.0002319 * * *
perc.latino -0.153 0.02646 -5.783 1.094e-08 * * *
ln.pop 0.009824 0.003516 2.794 0.005339 * *
ln.aland 0.01383 0.005162 2.679 0.007551 * *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
730 44.12 0.4081 0.3991

residential.dissim - poly.m

residential.dissim ~ poly.m + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.2848 0.113 -2.521 0.01192 *
poly.m 2797682 393489 7.11 2.8e-12 * * *
pop.below.poverty 0.1702 0.1238 1.375 0.1697
manufactur.emp 0.5043 0.1325 3.807 0.0001528 * * *
single.headed.fams 0.7526 0.5252 1.433 0.1522
under18 0.1176 0.1248 0.9417 0.3466
pop.dens 12.6 17.66 0.7135 0.4757
perc.white 0.2225 0.03147 7.07 3.673e-12 * * *
perc.black -0.05917 0.04808 -1.231 0.2188
perc.latino -0.1181 0.02685 -4.397 1.261e-05 * * *
ln.pop 0.004819 0.003545 1.359 0.1744
ln.aland 0.02239 0.005322 4.207 2.917e-05 * * *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
733 43.5 0.4227 0.4139

residential.dissim - hwy.m

residential.dissim ~ hwy.m + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.004333 0.1218 0.03557 0.9716
hwy.m 0.004525 0.001405 3.221 0.001335 * *
pop.below.poverty 0.1203 0.1272 0.9458 0.3446
manufactur.emp 0.4375 0.1368 3.198 0.001447 * *
single.headed.fams 1.569 0.5269 2.979 0.002994 * *
under18 0.112 0.1331 0.8411 0.4006
pop.dens 120 9.569 12.54 9.487e-33 * * *
perc.white 0.2454 0.03214 7.637 7.113e-14 * * *
perc.black -0.1606 0.04839 -3.319 0.0009505 * * *
perc.latino -0.1548 0.02701 -5.73 1.482e-08 * * *
ln.pop 0.00473 0.003986 1.187 0.2358
ln.aland 0.008415 0.005273 1.596 0.1109
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
730 44.7 0.3913 0.382

residential.isol_white

residential.isol_white - perc.acres.sfz

residential.isol_white ~ perc.acres.sfz + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.01125 0.03103 0.3625 0.7171
perc.acres.sfz 0.03716 0.005502 6.753 2.969e-11 * * *
pop.below.poverty 0.05635 0.03376 1.669 0.09547
manufactur.emp 0.00385 0.03679 0.1046 0.9167
single.headed.fams 0.6181 0.1406 4.397 1.259e-05 * * *
under18 0.04905 0.03422 1.433 0.1522
pop.dens 35.97 2.578 13.95 2.372e-39 * * *
perc.white 0.7919 0.008592 92.16 0 * * *
perc.black 0.1322 0.01293 10.23 5.038e-23 * * *
perc.latino -0.05772 0.007138 -8.085 2.597e-15 * * *
ln.pop 0.00166 0.0009478 1.751 0.08034
ln.aland 0.003823 0.001393 2.745 0.006209 * *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
737 11.91 0.9642 0.9637

residential.isol_white - poly.m

residential.isol_white ~ poly.m + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.02527 0.03136 0.8058 0.4206
poly.m 538138 109249 4.926 1.041e-06 * * *
pop.below.poverty 0.06319 0.03436 1.839 0.06629
manufactur.emp 0.05244 0.03678 1.426 0.1544
single.headed.fams 0.3777 0.1458 2.591 0.009766 * *
under18 0.05055 0.03465 1.459 0.1451
pop.dens 18.41 4.904 3.755 0.0001872 * * *
perc.white 0.7904 0.008738 90.45 0 * * *
perc.black 0.1607 0.01335 12.04 1.408e-30 * * *
perc.latino -0.05331 0.007453 -7.153 2.073e-12 * * *
ln.pop 0.0008227 0.0009833 0.8366 0.4031
ln.aland 0.00499 0.001478 3.377 0.000771 * * *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
740 12.08 0.9632 0.9626

residential.isol_white - hwy.m

residential.isol_white ~ hwy.m + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.08481 0.03321 2.553 0.01087 *
hwy.m 0.0008374 0.000383 2.187 0.0291 *
pop.below.poverty 0.05181 0.03467 1.494 0.1356
manufactur.emp 0.04068 0.0373 1.091 0.2758
single.headed.fams 0.5505 0.1436 3.832 0.000138 * * *
under18 0.0573 0.0363 1.579 0.1149
pop.dens 38.69 2.609 14.83 1.183e-43 * * *
perc.white 0.7946 0.008763 90.68 0 * * *
perc.black 0.1403 0.01319 10.64 1.202e-24 * * *
perc.latino -0.06054 0.007364 -8.222 9.252e-16 * * *
ln.pop 0.001004 0.001086 0.9244 0.3556
ln.aland 0.001919 0.001438 1.335 0.1824
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
737 12.19 0.9626 0.962

residential.isol_black

residential.isol_black - perc.acres.sfz

residential.isol_black ~ perc.acres.sfz + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.5492 0.1195 -4.596 5.096e-06 * * *
perc.acres.sfz 0.06195 0.02119 2.923 0.003571 * *
pop.below.poverty 0.003149 0.13 0.02422 0.9807
manufactur.emp 0.4846 0.1417 3.42 0.0006608 * * *
single.headed.fams 2.908 0.5413 5.371 1.056e-07 * * *
under18 -0.127 0.1318 -0.9635 0.3356
pop.dens 39.85 9.93 4.014 6.61e-05 * * *
perc.white 0.312 0.03309 9.431 5.515e-20 * * *
perc.black 1.439 0.04978 28.91 1.826e-122 * * *
perc.latino -0.1652 0.02749 -6.008 2.985e-09 * * *
ln.pop 0.05249 0.003653 14.37 2.47e-41 * * *
ln.aland -0.02033 0.005364 -3.79 0.0001635 * * *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
730 45.84 0.8701 0.8681

residential.isol_black - poly.m

residential.isol_black ~ poly.m + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.6262 0.1158 -5.408 8.698e-08 * * *
poly.m 2814237 403390 6.976 6.862e-12 * * *
pop.below.poverty 0.07502 0.1269 0.5911 0.5547
manufactur.emp 0.5906 0.1358 4.349 1.567e-05 * * *
single.headed.fams 1.966 0.5384 3.652 0.0002787 * * *
under18 -0.1869 0.128 -1.461 0.1445
pop.dens -62.42 18.11 -3.447 0.0006003 * * *
perc.white 0.2808 0.03226 8.703 2.188e-17 * * *
perc.black 1.534 0.04929 31.12 1.927e-135 * * *
perc.latino -0.1239 0.02752 -4.503 7.822e-06 * * *
ln.pop 0.04704 0.003634 12.94 1.334e-34 * * *
ln.aland -0.01002 0.005456 -1.837 0.06665
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
733 44.59 0.8766 0.8747

residential.isol_black - hwy.m

residential.isol_black ~ hwy.m + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.2474 0.1232 -2.008 0.04498 *
hwy.m 0.007844 0.00142 5.523 4.667e-08 * * *
pop.below.poverty 0.04321 0.1286 0.336 0.737
manufactur.emp 0.5106 0.1383 3.691 0.0002401 * * *
single.headed.fams 2.758 0.5327 5.176 2.943e-07 * * *
under18 -0.2746 0.1346 -2.04 0.04171 *
pop.dens 47.16 9.675 4.875 1.343e-06 * * *
perc.white 0.2978 0.03249 9.165 5.099e-19 * * *
perc.black 1.418 0.04892 28.98 6.995e-123 * * *
perc.latino -0.1475 0.02731 -5.402 8.968e-08 * * *
ln.pop 0.04259 0.004031 10.57 2.368e-24 * * *
ln.aland -0.02477 0.005331 -4.645 4.039e-06 * * *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
730 45.2 0.8733 0.8713

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.white + perc.black + perc.latino + ln.pop + ln.aland"
# only run over mvmt outcomes
(mvmt.yns <- yns[!grepl("residential", yns)])
## [1] "inflow.seg"         "outflow.seg"        "inflow.isol_white" 
## [4] "inflow.isol_black"  "outflow.isol_white" "outflow.isol_black"
# 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$population)

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

inflow.seg

inflow.seg - perc.acres.sfz

inflow.seg ~ perc.acres.sfz + residential.dissim + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.09046 0.07025 -1.288 0.1983
perc.acres.sfz 0.007112 0.01268 0.5609 0.575
residential.dissim 0.6121 0.02271 26.95 4.801e-111 * * *
pop.below.poverty -0.07648 0.07619 -1.004 0.3159
manufactur.emp 0.1564 0.08332 1.877 0.06095
single.headed.fams 0.608 0.3197 1.902 0.05759
under18 -0.1541 0.07724 -1.995 0.04646 *
pop.dens -37.2 6.329 -5.878 6.366e-09 * * *
perc.white -0.07787 0.02015 -3.865 0.0001212 * * *
perc.black 0.1619 0.02943 5.501 5.258e-08 * * *
perc.latino -0.0548 0.01647 -3.327 0.0009215 * * *
ln.pop 0.01674 0.002151 7.783 2.485e-14 * * *
ln.aland -0.01053 0.003157 -3.336 0.0008932 * * *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
730 26.85 0.7051 0.7001

inflow.seg - poly.m

inflow.seg ~ poly.m + residential.dissim + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.1072 0.06976 -1.537 0.1247
poly.m 459030 250279 1.834 0.06706
residential.dissim 0.6039 0.0229 26.37 8.621e-108 * * *
pop.below.poverty -0.06312 0.07622 -0.8281 0.4079
manufactur.emp 0.1741 0.08227 2.116 0.03469 *
single.headed.fams 0.4769 0.3234 1.475 0.1407
under18 -0.1628 0.0768 -2.12 0.03435 *
pop.dens -53.14 10.86 -4.891 1.238e-06 * * *
perc.white -0.08188 0.02001 -4.092 4.762e-05 * * *
perc.black 0.1744 0.02959 5.893 5.811e-09 * * *
perc.latino -0.04927 0.01673 -2.946 0.003327 * *
ln.pop 0.01589 0.002183 7.281 8.696e-13 * * *
ln.aland -0.008665 0.003313 -2.616 0.009088 * *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
733 26.74 0.7062 0.7013

inflow.seg - hwy.m

inflow.seg ~ hwy.m + residential.dissim + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.03589 0.07283 -0.4928 0.6223
hwy.m 0.001669 0.0008459 1.973 0.04886 *
residential.dissim 0.6091 0.02231 27.3 4.732e-113 * * *
pop.below.poverty -0.07413 0.0761 -0.9741 0.3304
manufactur.emp 0.1616 0.08238 1.961 0.05023
single.headed.fams 0.6218 0.317 1.962 0.05019
under18 -0.1749 0.07963 -2.196 0.02841 *
pop.dens -35.67 6.317 -5.647 2.354e-08 * * *
perc.white -0.08159 0.01998 -4.084 4.933e-05 * * *
perc.black 0.1543 0.02915 5.294 1.597e-07 * * *
perc.latino -0.05068 0.01651 -3.069 0.002228 * *
ln.pop 0.01459 0.002386 6.117 1.566e-09 * * *
ln.aland -0.0113 0.003158 -3.577 0.0003706 * * *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
730 26.73 0.7075 0.7026

outflow.seg

outflow.seg - perc.acres.sfz

outflow.seg ~ perc.acres.sfz + residential.dissim + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.127 0.07296 -1.741 0.0822
perc.acres.sfz -0.002756 0.01317 -0.2093 0.8343
residential.dissim 0.5419 0.02359 22.97 5.843e-88 * * *
pop.below.poverty -0.1576 0.07914 -1.992 0.04678 *
manufactur.emp 0.05421 0.08654 0.6264 0.5312
single.headed.fams 0.3887 0.3321 1.171 0.2421
under18 -0.1533 0.08023 -1.911 0.05635
pop.dens -11.1 6.573 -1.689 0.09169
perc.white -0.06766 0.02093 -3.234 0.001278 * *
perc.black 0.1695 0.03057 5.544 4.15e-08 * * *
perc.latino -0.02707 0.01711 -1.582 0.114
ln.pop 0.008689 0.002234 3.889 0.00011 * * *
ln.aland -0.002364 0.003279 -0.7209 0.4712
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
730 27.88 0.6313 0.6251

outflow.seg - poly.m

outflow.seg ~ poly.m + residential.dissim + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.1307 0.07261 -1.799 0.07236
poly.m 8317 260470 0.03193 0.9745
residential.dissim 0.5406 0.02383 22.69 2.224e-86 * * *
pop.below.poverty -0.1559 0.07932 -1.965 0.04983 *
manufactur.emp 0.05008 0.08562 0.5849 0.5588
single.headed.fams 0.4003 0.3365 1.19 0.2346
under18 -0.152 0.07992 -1.902 0.05763
pop.dens -11.49 11.31 -1.016 0.3098
perc.white -0.06883 0.02083 -3.305 0.0009963 * * *
perc.black 0.167 0.0308 5.424 7.98e-08 * * *
perc.latino -0.02743 0.01741 -1.576 0.1155
ln.pop 0.008641 0.002271 3.804 0.0001542 * * *
ln.aland -0.002219 0.003447 -0.6436 0.52
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
733 27.83 0.6312 0.625

outflow.seg - hwy.m

outflow.seg ~ hwy.m + residential.dissim + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.08439 0.07534 -1.12 0.263
hwy.m 0.001137 0.0008751 1.299 0.1942
residential.dissim 0.5348 0.02308 23.17 4.195e-89 * * *
pop.below.poverty -0.1556 0.07872 -1.976 0.04853 *
manufactur.emp 0.04917 0.08521 0.577 0.5641
single.headed.fams 0.4592 0.3279 1.401 0.1618
under18 -0.1559 0.08237 -1.892 0.05885
pop.dens -11.25 6.534 -1.722 0.08552
perc.white -0.06991 0.02067 -3.383 0.0007567 * * *
perc.black 0.1584 0.03015 5.254 1.967e-07 * * *
perc.latino -0.02407 0.01708 -1.409 0.1592
ln.pop 0.007719 0.002468 3.128 0.001833 * *
ln.aland -0.003744 0.003267 -1.146 0.2522
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
730 27.65 0.6358 0.6297

inflow.isol_white

inflow.isol_white - perc.acres.sfz

inflow.isol_white ~ perc.acres.sfz + residential.isol_white + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

Table continues below
  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.0325 0.01066 -3.05 0.002371
perc.acres.sfz -0.001546 0.001948 -0.7937 0.4276
residential.isol_white 0.5605 0.01275 43.96 2.545e-206
pop.below.poverty 0.01766 0.01161 1.521 0.1287
manufactur.emp -0.01743 0.01263 -1.38 0.168
single.headed.fams 0.01513 0.0489 0.3095 0.757
under18 0.05273 0.01176 4.482 8.583e-06
pop.dens -5.882 0.997 -5.9 5.586e-09
perc.white 0.488 0.01052 46.39 9.006e-219
perc.black -0.02253 0.004748 -4.745 2.512e-06
perc.latino -0.008848 0.002559 -3.458 0.0005766
ln.pop -0.001555 0.0003261 -4.769 2.239e-06
ln.aland -0.0001342 0.0004807 -0.2791 0.7803
 
(Intercept) * *
perc.acres.sfz
residential.isol_white * * *
pop.below.poverty
manufactur.emp
single.headed.fams
under18 * * *
pop.dens * * *
perc.white * * *
perc.black * * *
perc.latino * * *
ln.pop * * *
ln.aland
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
735 4.087 0.9974 0.9974

inflow.isol_white - poly.m

inflow.isol_white ~ poly.m + residential.isol_white + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

Table continues below
  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.03312 0.01061 -3.123 0.001861
poly.m -17948 37537 -0.4781 0.6327
residential.isol_white 0.5584 0.01253 44.58 5.058e-210
pop.below.poverty 0.01762 0.01164 1.514 0.1305
manufactur.emp -0.01931 0.01245 -1.551 0.1212
single.headed.fams 0.02581 0.0495 0.5214 0.6023
under18 0.05296 0.01173 4.515 7.403e-06
pop.dens -5.233 1.674 -3.127 0.001839
perc.white 0.4895 0.01033 47.37 2.736e-224
perc.black -0.02351 0.00494 -4.759 2.347e-06
perc.latino -0.009162 0.002606 -3.516 0.0004661
ln.pop -0.001537 0.0003326 -4.623 4.475e-06
ln.aland -0.0001516 0.0005033 -0.3011 0.7634
 
(Intercept) * *
poly.m
residential.isol_white * * *
pop.below.poverty
manufactur.emp
single.headed.fams
under18 * * *
pop.dens * *
perc.white * * *
perc.black * * *
perc.latino * * *
ln.pop * * *
ln.aland
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
739 4.082 0.9974 0.9974

inflow.isol_white - hwy.m

inflow.isol_white ~ hwy.m + residential.isol_white + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

Table continues below
  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.03843 0.01117 -3.441 0.0006118
hwy.m -0.0001897 0.0001286 -1.475 0.1406
residential.isol_white 0.557 0.01243 44.81 1.107e-210
pop.below.poverty 0.01705 0.01162 1.467 0.1429
manufactur.emp -0.01776 0.0125 -1.422 0.1556
single.headed.fams 0.02462 0.04857 0.5069 0.6123
under18 0.05722 0.01217 4.701 3.096e-06
pop.dens -5.987 0.997 -6.005 3.039e-09
perc.white 0.4907 0.0103 47.62 5.963e-225
perc.black -0.022 0.004748 -4.633 4.28e-06
perc.latino -0.009615 0.002577 -3.731 0.0002059
ln.pop -0.001313 0.0003637 -3.61 0.0003278
ln.aland -6.78e-05 0.0004819 -0.1407 0.8881
 
(Intercept) * * *
hwy.m
residential.isol_white * * *
pop.below.poverty
manufactur.emp
single.headed.fams
under18 * * *
pop.dens * * *
perc.white * * *
perc.black * * *
perc.latino * * *
ln.pop * * *
ln.aland
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
735 4.08 0.9974 0.9974

inflow.isol_black

inflow.isol_black - perc.acres.sfz

inflow.isol_black ~ perc.acres.sfz + residential.isol_black + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.1125 0.03389 -3.32 0.0009448 * * *
perc.acres.sfz 0.02713 0.005958 4.554 6.184e-06 * * *
residential.isol_black 0.487 0.01043 46.69 2.704e-219 * * *
pop.below.poverty -0.06434 0.03635 -1.77 0.07712
manufactur.emp -0.01514 0.03992 -0.3793 0.7046
single.headed.fams -0.2917 0.1543 -1.89 0.05916
under18 0.08361 0.03685 2.269 0.02357 *
pop.dens 4.562 2.806 1.626 0.1045
perc.white -0.03357 0.009804 -3.424 0.0006516 * * *
perc.black 0.5384 0.02047 26.31 3.36e-107 * * *
perc.latino 0.01374 0.007875 1.745 0.08148
ln.pop -0.001674 0.001159 -1.445 0.149
ln.aland 0.004509 0.001514 2.978 0.002998 * *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
728 12.81 0.9823 0.982

inflow.isol_black - poly.m

inflow.isol_black ~ poly.m + residential.isol_black + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.06829 0.03429 -1.992 0.04679 *
poly.m -177669 120972 -1.469 0.1424
residential.isol_black 0.4961 0.01081 45.9 7.288e-216 * * *
pop.below.poverty -0.07491 0.03685 -2.033 0.04241 *
manufactur.emp 0.006499 0.03993 0.1628 0.8708
single.headed.fams -0.3175 0.1577 -2.013 0.04443 *
under18 0.1116 0.0372 3.002 0.002779 * *
pop.dens 13.18 5.299 2.488 0.01309 *
perc.white -0.03262 0.009844 -3.313 0.000968 * * *
perc.black 0.5276 0.0219 24.1 1.701e-94 * * *
perc.latino 0.006494 0.0081 0.8018 0.423
ln.pop -0.001708 0.001171 -1.458 0.1452
ln.aland 0.003204 0.001587 2.019 0.0439 *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
732 12.94 0.9818 0.9815

inflow.isol_black - hwy.m

inflow.isol_black ~ hwy.m + residential.isol_black + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.04428 0.03525 -1.256 0.2094
hwy.m 0.001229 0.0004138 2.97 0.003079 * *
residential.isol_black 0.4857 0.01065 45.61 7.581e-214 * * *
pop.below.poverty -0.06353 0.0367 -1.731 0.08388
manufactur.emp 0.00765 0.03984 0.192 0.8478
single.headed.fams -0.3385 0.1548 -2.186 0.02911 *
under18 0.07686 0.03852 1.995 0.04638 *
pop.dens 6.977 2.806 2.486 0.01314 *
perc.white -0.03351 0.009799 -3.419 0.0006635 * * *
perc.black 0.5424 0.02056 26.38 1.331e-107 * * *
perc.latino 0.01309 0.00795 1.646 0.1001
ln.pop -0.002968 0.001237 -2.4 0.01665 *
ln.aland 0.003073 0.001544 1.99 0.04694 *
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
728 12.9 0.982 0.9817

outflow.isol_white

outflow.isol_white - perc.acres.sfz

outflow.isol_white ~ perc.acres.sfz + residential.isol_white + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

Table continues below
  Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.3537 0.02997 11.8 1.662e-29
perc.acres.sfz 0.01161 0.005478 2.12 0.03438
residential.isol_white 0.7182 0.03587 20.02 2.781e-71
pop.below.poverty 0.008695 0.03266 0.2662 0.7902
manufactur.emp -0.06993 0.03553 -1.968 0.04943
single.headed.fams 0.3964 0.1375 2.882 0.004066
under18 0.1311 0.03309 3.962 8.16e-05
pop.dens -2.377 2.804 -0.8477 0.3969
perc.white -0.2005 0.02959 -6.777 2.553e-11
perc.black -0.634 0.01335 -47.47 3.171e-224
perc.latino -0.5671 0.007198 -78.78 0
ln.pop 0.006568 0.0009174 7.159 2.001e-12
ln.aland -0.0007184 0.001352 -0.5313 0.5954
 
(Intercept) * * *
perc.acres.sfz *
residential.isol_white * * *
pop.below.poverty
manufactur.emp *
single.headed.fams * *
under18 * * *
pop.dens
perc.white * * *
perc.black * * *
perc.latino * * *
ln.pop * * *
ln.aland
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
735 11.5 0.9806 0.9803

outflow.isol_white - poly.m

outflow.isol_white ~ poly.m + residential.isol_white + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.3495 0.02988 11.7 4.462e-29 * * *
poly.m 332143 105748 3.141 0.001753 * *
residential.isol_white 0.7099 0.03529 20.11 7.313e-72 * * *
pop.below.poverty 0.01828 0.03279 0.5575 0.5774
manufactur.emp -0.05432 0.03507 -1.549 0.1219
single.headed.fams 0.2909 0.1395 2.086 0.03733 *
under18 0.1333 0.03305 4.033 6.1e-05 * * *
pop.dens -13.7 4.715 -2.907 0.003765 * *
perc.white -0.1994 0.02911 -6.852 1.56e-11 * * *
perc.black -0.6232 0.01392 -44.77 4.904e-211 * * *
perc.latino -0.565 0.007342 -76.95 0 * * *
ln.pop 0.005873 0.0009369 6.269 6.22e-10 * * *
ln.aland 0.0004754 0.001418 0.3352 0.7375
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
739 11.5 0.9805 0.9801

outflow.isol_white - hwy.m

outflow.isol_white ~ hwy.m + residential.isol_white + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.3963 0.03149 12.58 5.736e-33 * * *
hwy.m 0.001071 0.0003627 2.952 0.003263 * *
residential.isol_white 0.7259 0.03506 20.71 3.99e-75 * * *
pop.below.poverty 0.01757 0.03278 0.5359 0.5922
manufactur.emp -0.06542 0.03524 -1.856 0.06381
single.headed.fams 0.361 0.137 2.636 0.008575 * *
under18 0.1106 0.03432 3.223 0.001325 * *
pop.dens -1.203 2.812 -0.4279 0.6688
perc.white -0.2103 0.02906 -7.238 1.166e-12 * * *
perc.black -0.6392 0.01339 -47.74 1.542e-225 * * *
perc.latino -0.566 0.007268 -77.87 0 * * *
ln.pop 0.005053 0.001026 4.926 1.04e-06 * * *
ln.aland -0.001166 0.001359 -0.8584 0.3909
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
735 11.51 0.9805 0.9802

outflow.isol_black

outflow.isol_black - perc.acres.sfz

outflow.isol_black ~ perc.acres.sfz + residential.isol_black + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.03081 0.0344 0.8957 0.3707
perc.acres.sfz 0.0145 0.006048 2.397 0.01678 *
residential.isol_black 0.2705 0.01059 25.54 9.47e-103 * * *
pop.below.poverty -0.01962 0.0369 -0.5318 0.595
manufactur.emp 0.004559 0.04053 0.1125 0.9105
single.headed.fams -0.2214 0.1567 -1.413 0.158
under18 0.1513 0.03741 4.045 5.79e-05 * * *
pop.dens -3.857 2.849 -1.354 0.1762
perc.white -0.09291 0.009953 -9.335 1.25e-19 * * *
perc.black 0.6794 0.02078 32.7 4.103e-144 * * *
perc.latino -0.07826 0.007994 -9.789 2.546e-21 * * *
ln.pop 0.0004752 0.001176 0.4039 0.6864
ln.aland 0.0006046 0.001537 0.3933 0.6942
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
728 13.01 0.9764 0.976

outflow.isol_black - poly.m

outflow.isol_black ~ poly.m + residential.isol_black + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

  Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.02334 0.03425 0.6813 0.4959
poly.m 398413 120837 3.297 0.001025 * *
residential.isol_black 0.264 0.0108 24.45 1.503e-96 * * *
pop.below.poverty -0.01145 0.03681 -0.311 0.7559
manufactur.emp 0.03056 0.03989 0.7661 0.4439
single.headed.fams -0.3533 0.1575 -2.243 0.02523 *
under18 0.1436 0.03716 3.866 0.0001207 * * *
pop.dens -17.59 5.293 -3.324 0.0009329 * * *
perc.white -0.09377 0.009833 -9.536 2.232e-20 * * *
perc.black 0.7053 0.02187 32.25 8.417e-142 * * *
perc.latino -0.07396 0.008091 -9.141 6.212e-19 * * *
ln.pop 0.000105 0.00117 0.08974 0.9285
ln.aland 0.00173 0.001586 1.091 0.2756
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
732 12.93 0.9766 0.9762

outflow.isol_black - hwy.m

outflow.isol_black ~ hwy.m + residential.isol_black + pop.below.poverty + manufactur.emp + single.headed.fams + under18 + pop.dens + perc.white + perc.black + perc.latino + ln.pop + ln.aland

Table continues below
  Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.06203 0.03563 1.741 0.08214
hwy.m 0.000469 0.0004184 1.121 0.2626
residential.isol_black 0.2704 0.01077 25.12 2.786e-100
pop.below.poverty -0.0211 0.03711 -0.5687 0.5697
manufactur.emp 0.01891 0.04028 0.4694 0.6389
single.headed.fams -0.2488 0.1565 -1.589 0.1124
under18 0.1503 0.03895 3.86 0.0001237
pop.dens -2.632 2.837 -0.9276 0.3539
perc.white -0.09226 0.009907 -9.313 1.507e-19
perc.black 0.6823 0.02079 32.82 8.269e-145
perc.latino -0.07877 0.008037 -9.8 2.311e-21
ln.pop -2.402e-05 0.00125 -0.01921 0.9847
ln.aland -6.903e-05 0.001561 -0.04422 0.9647
 
(Intercept)
hwy.m
residential.isol_black * * *
pop.below.poverty
manufactur.emp
single.headed.fams
under18 * * *
pop.dens
perc.white * * *
perc.black * * *
perc.latino * * *
ln.pop
ln.aland
Fitting linear model: mxtmp
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
728 13.04 0.9762 0.9758