This output shows models for CBSA 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:

% acreage single-fame zoning
n gov’ts / area
n interstate rays

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 4
##    cbsa hwy.m perc.acres.sfz        poly.m
##   <dbl> <dbl>          <dbl>         <dbl>
## 1 22780     0      0.0000316 0.00000000917
## 2 16380     0      0.777     0.0000000134

# 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)	-0.2661	0.07138	-3.728	0.0002052	* * *
perc.acres.sfz	0.02898	0.01365	2.123	0.034	*
pop.below.poverty	-0.07172	0.08649	-0.8293	0.4072
manufactur.emp	0.1527	0.09911	1.541	0.1238
single.headed.fams	1.312	0.3237	4.053	5.51e-05	* * *
under18	-0.0139	0.09608	-0.1446	0.885
pop.dens	52.33	12.51	4.184	3.156e-05	* * *
perc.white	0.1154	0.02364	4.882	1.25e-06	* * *
perc.black	0.1487	0.03489	4.263	2.241e-05	* * *
perc.latino	-0.1546	0.01905	-8.117	1.62e-15	* * *
ln.pop	0.02944	0.00332	8.867	4.162e-18	* * *
ln.aland	-0.005439	0.004216	-1.29	0.1974

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
885	31.1	0.5669	0.5614

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)	-0.2299	0.06862	-3.35	0.000843	* * *
poly.m	1470820	218654	6.727	3.093e-11	* * *
pop.below.poverty	-0.03454	0.08259	-0.4182	0.6759
manufactur.emp	0.3185	0.09672	3.293	0.00103	* *
single.headed.fams	0.7667	0.3157	2.429	0.01535	*
under18	-0.124	0.09392	-1.32	0.1871
pop.dens	-11.47	15.73	-0.7289	0.4663
perc.white	0.06919	0.02376	2.911	0.003688	* *
perc.black	0.1685	0.0327	5.152	3.167e-07	* * *
perc.latino	-0.1082	0.01969	-5.496	5.06e-08	* * *
ln.pop	0.02821	0.003219	8.765	9.25e-18	* * *
ln.aland	-0.002672	0.004107	-0.6505	0.5155

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
907	30.16	0.5842	0.579

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)	-0.137	0.07396	-1.853	0.06424
hwy.m	0.004083	0.0009526	4.287	2.011e-05	* * *
pop.below.poverty	-0.08696	0.08338	-1.043	0.2973
manufactur.emp	0.1001	0.09744	1.027	0.3046
single.headed.fams	1.179	0.3125	3.774	0.0001712	* * *
under18	-0.07594	0.09474	-0.8015	0.4231
pop.dens	61.71	11.86	5.203	2.424e-07	* * *
perc.white	0.1176	0.02275	5.168	2.917e-07	* * *
perc.black	0.1574	0.03312	4.752	2.345e-06	* * *
perc.latino	-0.1403	0.01885	-7.443	2.306e-13	* * *
ln.pop	0.02482	0.003424	7.249	9.041e-13	* * *
ln.aland	-0.007203	0.004138	-1.74	0.08212

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
911	30.54	0.5731	0.5679

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)	-0.2693	0.06508	-4.137	3.854e-05	* * *
perc.acres.sfz	0.02212	0.01245	1.777	0.07586
pop.below.poverty	-0.1309	0.07886	-1.66	0.09729
manufactur.emp	0.02438	0.09037	0.2698	0.7874
single.headed.fams	1.019	0.2952	3.451	0.0005863	* * *
under18	0.01403	0.0876	0.1602	0.8728
pop.dens	58.04	11.4	5.09	4.393e-07	* * *
perc.white	0.1003	0.02155	4.654	3.764e-06	* * *
perc.black	0.1295	0.03181	4.072	5.085e-05	* * *
perc.latino	-0.1225	0.01737	-7.055	3.521e-12	* * *
ln.pop	0.0239	0.003027	7.895	8.69e-15	* * *
ln.aland	-0.001047	0.003844	-0.2725	0.7853

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
885	28.35	0.5594	0.5539

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)	-0.2396	0.06214	-3.855	0.0001239	* * *
poly.m	1555635	198002	7.857	1.128e-14	* * *
pop.below.poverty	-0.09791	0.07479	-1.309	0.1908
manufactur.emp	0.1963	0.08759	2.241	0.02528	*
single.headed.fams	0.5104	0.2859	1.785	0.07453
under18	-0.1019	0.08505	-1.198	0.2311
pop.dens	-11.02	14.25	-0.7732	0.4396
perc.white	0.05005	0.02152	2.326	0.02024	*
perc.black	0.1451	0.02961	4.899	1.144e-06	* * *
perc.latino	-0.07269	0.01783	-4.076	4.979e-05	* * *
ln.pop	0.02242	0.002915	7.693	3.797e-14	* * *
ln.aland	0.00205	0.003719	0.5512	0.5816

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
907	27.31	0.5848	0.5797

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)	-0.1912	0.06796	-2.813	0.005008	* *
hwy.m	0.002526	0.0008752	2.886	0.003998	* *
pop.below.poverty	-0.1499	0.07661	-1.957	0.05066
manufactur.emp	-0.0004966	0.08953	-0.005547	0.9956
single.headed.fams	0.961	0.2871	3.347	0.0008496	* * *
under18	-0.02208	0.08705	-0.2536	0.7999
pop.dens	65.5	10.9	6.011	2.678e-09	* * *
perc.white	0.1031	0.0209	4.931	9.734e-07	* * *
perc.black	0.1362	0.03043	4.476	8.577e-06	* * *
perc.latino	-0.114	0.01732	-6.579	8.006e-11	* * *
ln.pop	0.02079	0.003146	6.608	6.677e-11	* * *
ln.aland	-0.001905	0.003802	-0.5011	0.6164

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
911	28.06	0.5604	0.5551

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)	-0.08592	0.01511	-5.687	1.76e-08	* * *
perc.acres.sfz	0.0163	0.002889	5.641	2.283e-08	* * *
pop.below.poverty	0.01963	0.0183	1.072	0.2838
manufactur.emp	-0.0417	0.02098	-1.988	0.04713	*
single.headed.fams	0.3004	0.06852	4.384	1.305e-05	* * *
under18	0.06174	0.02033	3.037	0.002463	* *
pop.dens	24.8	2.647	9.37	5.989e-20	* * *
perc.white	0.9611	0.005002	192.1	0	* * *
perc.black	0.09028	0.007384	12.23	7.586e-32	* * *
perc.latino	-0.04102	0.004031	-10.18	4.589e-23	* * *
ln.pop	-0.002834	0.0007027	-4.033	5.98e-05	* * *
ln.aland	0.005382	0.0008923	6.032	2.391e-09	* * *

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
886	6.582	0.991	0.9909

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)	-0.06629	0.01372	-4.833	1.584e-06	* * *
poly.m	610253	43711	13.96	3.169e-40	* * *
pop.below.poverty	0.03017	0.01651	1.827	0.06797
manufactur.emp	0.03344	0.01934	1.73	0.08404
single.headed.fams	0.06046	0.06311	0.9581	0.3383
under18	0.01751	0.01877	0.9326	0.3513
pop.dens	-0.7528	3.145	-0.2394	0.8109
perc.white	0.9436	0.00475	198.6	0	* * *
perc.black	0.1023	0.006537	15.64	5.941e-49	* * *
perc.latino	-0.02124	0.003936	-5.396	8.744e-08	* * *
ln.pop	-0.003288	0.0006434	-5.109	3.949e-07	* * *
ln.aland	0.006367	0.0008211	7.754	2.408e-14	* * *

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
908	6.029	0.9924	0.9923

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)	-0.08866	0.01601	-5.537	4.032e-08	* * *
hwy.m	-0.0005729	0.0002062	-2.779	0.005572	* *
pop.below.poverty	0.01408	0.01805	0.7799	0.4356
manufactur.emp	-0.01245	0.02109	-0.5902	0.5552
single.headed.fams	0.2474	0.06764	3.657	0.00027	* * *
under18	0.07499	0.02051	3.657	0.0002702	* * *
pop.dens	28.12	2.567	10.96	2.614e-26	* * *
perc.white	0.9659	0.004924	196.2	0	* * *
perc.black	0.1012	0.007169	14.11	5.266e-41	* * *
perc.latino	-0.04437	0.004081	-10.87	5.936e-26	* * *
ln.pop	-0.002026	0.0007412	-2.734	0.006388	* *
ln.aland	0.005332	0.0008959	5.951	3.804e-09	* * *

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
912	6.611	0.9908	0.9907

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)	-0.4299	0.05175	-8.307	3.735e-16	* * *
perc.acres.sfz	0.0289	0.009897	2.92	0.003585	* *
pop.below.poverty	0.006779	0.06271	0.1081	0.9139
manufactur.emp	0.1894	0.07186	2.636	0.008532	* *
single.headed.fams	0.8481	0.2347	3.613	0.00032	* * *
under18	0.0002989	0.06966	0.00429	0.9966
pop.dens	43.76	9.069	4.826	1.647e-06	* * *
perc.white	0.1417	0.01714	8.27	4.976e-16	* * *
perc.black	1.264	0.02529	49.97	2.654e-258	* * *
perc.latino	-0.08736	0.01381	-6.326	4.014e-10	* * *
ln.pop	0.0204	0.002407	8.476	9.841e-17	* * *
ln.aland	-0.0004906	0.003057	-0.1605	0.8725

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
885	22.55	0.928	0.927

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)	-0.3971	0.04953	-8.016	3.39e-15	* * *
poly.m	1149500	157833	7.283	7.155e-13	* * *
pop.below.poverty	0.03475	0.05962	0.5828	0.5602
manufactur.emp	0.3217	0.06982	4.607	4.672e-06	* * *
single.headed.fams	0.4465	0.2279	1.96	0.05035
under18	-0.06933	0.06779	-1.023	0.3067
pop.dens	-5.34	11.36	-0.4702	0.6383
perc.white	0.1035	0.01715	6.032	2.368e-09	* * *
perc.black	1.277	0.0236	54.11	2.142e-284	* * *
perc.latino	-0.05454	0.01421	-3.837	0.0001331	* * *
ln.pop	0.01971	0.002323	8.483	8.977e-17	* * *
ln.aland	0.001357	0.002965	0.4578	0.6472

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
907	21.77	0.9315	0.9307

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)	-0.3236	0.05351	-6.047	2.166e-09	* * *
hwy.m	0.003297	0.0006892	4.784	2.012e-06	* * *
pop.below.poverty	-0.007282	0.06033	-0.1207	0.904
manufactur.emp	0.1475	0.0705	2.092	0.03668	*
single.headed.fams	0.7676	0.2261	3.395	0.0007158	* * *
under18	-0.03416	0.06855	-0.4983	0.6184
pop.dens	52.3	8.58	6.095	1.62e-09	* * *
perc.white	0.1414	0.01646	8.592	3.756e-17	* * *
perc.black	1.268	0.02396	52.93	1.724e-278	* * *
perc.latino	-0.07878	0.01364	-5.775	1.062e-08	* * *
ln.pop	0.01676	0.002477	6.763	2.429e-11	* * *
ln.aland	-0.002028	0.002994	-0.6774	0.4983

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
911	22.09	0.9293	0.9284

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)	0.3728	0.03038	12.27	4.877e-32	* * *
perc.acres.sfz	0.02196	0.00581	3.78	0.0001676	* * *
pop.below.poverty	0.1057	0.03681	2.873	0.004168	* *
manufactur.emp	-0.04488	0.04219	-1.064	0.2876
single.headed.fams	0.5266	0.1378	3.821	0.0001421	* * *
under18	0.119	0.04089	2.91	0.003708	* *
pop.dens	35.41	5.324	6.651	5.126e-11	* * *
perc.white	0.3945	0.01006	39.22	7.633e-195	* * *
perc.black	-0.5142	0.01485	-34.62	4.48e-166	* * *
perc.latino	-0.6168	0.008107	-76.08	0	* * *
ln.pop	0.006302	0.001413	4.459	9.305e-06	* * *
ln.aland	0.002938	0.001795	1.637	0.102

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
886	13.24	0.9656	0.9652

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)	0.4004	0.02864	13.98	2.561e-40	* * *
poly.m	884866	91253	9.697	3.282e-21	* * *
pop.below.poverty	0.1215	0.03447	3.525	0.0004447	* * *
manufactur.emp	0.06409	0.04037	1.588	0.1127
single.headed.fams	0.1776	0.1317	1.348	0.1779
under18	0.05384	0.03919	1.374	0.1698
pop.dens	-1.995	6.566	-0.3039	0.7612
perc.white	0.3698	0.009917	37.29	1.927e-184	* * *
perc.black	-0.4965	0.01365	-36.38	1.085e-178	* * *
perc.latino	-0.5877	0.008217	-71.53	0	* * *
ln.pop	0.005705	0.001343	4.247	2.391e-05	* * *
ln.aland	0.004309	0.001714	2.514	0.01211	*

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
908	12.59	0.9684	0.968

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)	0.3884	0.032	12.14	1.624e-31	* * *
hwy.m	-1.055e-05	0.000412	-0.0256	0.9796
pop.below.poverty	0.09571	0.03607	2.654	0.008101	* *
manufactur.emp	-0.01981	0.04215	-0.4701	0.6384
single.headed.fams	0.4399	0.1352	3.254	0.00118	* *
under18	0.1235	0.04098	3.013	0.002657	* *
pop.dens	40.76	5.129	7.947	5.693e-15	* * *
perc.white	0.4015	0.009839	40.8	6.978e-207	* * *
perc.black	-0.4991	0.01433	-34.84	4.931e-169	* * *
perc.latino	-0.6176	0.008155	-75.73	0	* * *
ln.pop	0.006434	0.001481	4.344	1.558e-05	* * *
ln.aland	0.002654	0.00179	1.483	0.1385

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
912	13.21	0.9652	0.9647

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)	-0.1405	0.03752	-3.745	0.000192	* * *
perc.acres.sfz	0.0192	0.007174	2.676	0.007579	* *
pop.below.poverty	0.02553	0.04546	0.5616	0.5745
manufactur.emp	0.06706	0.05209	1.287	0.1983
single.headed.fams	0.4282	0.1702	2.517	0.01203	*
under18	0.1288	0.0505	2.551	0.01091	*
pop.dens	11.83	6.574	1.799	0.07233
perc.white	-0.008911	0.01242	-0.7173	0.4734
perc.black	1.069	0.01834	58.31	2.733e-303	* * *
perc.latino	-0.137	0.01001	-13.68	9.567e-39	* * *
ln.pop	0.01409	0.001745	8.072	2.284e-15	* * *
ln.aland	-0.003001	0.002216	-1.354	0.176

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
885	16.35	0.9515	0.9509

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)	-0.1171	0.03572	-3.277	0.001089	* *
poly.m	867021	113837	7.616	6.628e-14	* * *
pop.below.poverty	0.04109	0.043	0.9555	0.3396
manufactur.emp	0.1671	0.05036	3.318	0.0009428	* * *
single.headed.fams	0.1264	0.1643	0.7688	0.4422
under18	0.07132	0.0489	1.459	0.145
pop.dens	-25.61	8.19	-3.127	0.00182	* *
perc.white	-0.03561	0.01237	-2.879	0.00409	* *
perc.black	1.082	0.01702	63.53	0	* * *
perc.latino	-0.1102	0.01025	-10.75	2.026e-25	* * *
ln.pop	0.01356	0.001676	8.09	1.941e-15	* * *
ln.aland	-0.001639	0.002138	-0.7663	0.4437

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
907	15.7	0.9543	0.9537

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)	-0.05986	0.03864	-1.549	0.1217
hwy.m	0.00255	0.0004977	5.123	3.679e-07	* * *
pop.below.poverty	0.009153	0.04356	0.2101	0.8336
manufactur.emp	0.03519	0.05091	0.6913	0.4895
single.headed.fams	0.3691	0.1633	2.261	0.02401	*
under18	0.09632	0.0495	1.946	0.052
pop.dens	17.82	6.196	2.876	0.004117	* *
perc.white	-0.007123	0.01188	-0.5993	0.5491
perc.black	1.075	0.0173	62.13	0	* * *
perc.latino	-0.1279	0.009851	-12.99	1.843e-35	* * *
ln.pop	0.01126	0.001789	6.295	4.803e-10	* * *
ln.aland	-0.004224	0.002162	-1.953	0.05107

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
911	15.95	0.9527	0.9521

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)	-0.4566	0.09214	-4.955	8.67e-07	* * *
perc.acres.sfz	0.09362	0.01762	5.313	1.368e-07	* * *
pop.below.poverty	-0.03103	0.1116	-0.278	0.7811
manufactur.emp	0.1422	0.1279	1.112	0.2666
single.headed.fams	1.918	0.4179	4.59	5.075e-06	* * *
under18	0.3247	0.124	2.618	0.008999	* *
pop.dens	226.4	16.14	14.02	1.919e-40	* * *
perc.white	0.3654	0.03051	11.98	1.052e-30	* * *
perc.black	-0.01501	0.04503	-0.3334	0.7389
perc.latino	-0.1819	0.02459	-7.399	3.231e-13	* * *
ln.pop	-0.01129	0.004286	-2.635	0.008574	* *
ln.aland	0.02901	0.005442	5.332	1.241e-07	* * *

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
885	40.14	0.4353	0.4282

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)	-0.3594	0.08809	-4.08	4.91e-05	* * *
poly.m	2572550	280710	9.164	3.329e-19	* * *
pop.below.poverty	0.03118	0.106	0.2941	0.7688
manufactur.emp	0.4791	0.1242	3.858	0.0001225	* * *
single.headed.fams	0.9241	0.4053	2.28	0.02283	*
under18	0.1654	0.1206	1.371	0.1706
pop.dens	121.8	20.2	6.032	2.367e-09	* * *
perc.white	0.2874	0.03051	9.421	3.683e-20	* * *
perc.black	0.03103	0.04198	0.7392	0.46
perc.latino	-0.1098	0.02528	-4.344	1.556e-05	* * *
ln.pop	-0.01219	0.004132	-2.951	0.003252	* *
ln.aland	0.03238	0.005273	6.141	1.231e-09	* * *

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
907	38.72	0.4647	0.4581

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)	-0.3244	0.09784	-3.316	0.0009507	* * *
hwy.m	0.00266	0.00126	2.111	0.03503	*
pop.below.poverty	-0.05042	0.1103	-0.4572	0.6477
manufactur.emp	0.1782	0.1289	1.383	0.1671
single.headed.fams	1.659	0.4133	4.014	6.466e-05	* * *
under18	0.3234	0.1253	2.581	0.01002	*
pop.dens	248.7	15.69	15.85	4.318e-50	* * *
perc.white	0.3776	0.03009	12.55	2.13e-33	* * *
perc.black	0.0196	0.04381	0.4474	0.6547
perc.latino	-0.1853	0.02494	-7.428	2.557e-13	* * *
ln.pop	-0.01351	0.004529	-2.982	0.002939	* *
ln.aland	0.02685	0.005474	4.905	1.109e-06	* * *

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
911	40.39	0.4162	0.4091

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)	-0.09227	0.02426	-3.803	0.0001528	* * *
perc.acres.sfz	0.03182	0.004639	6.859	1.31e-11	* * *
pop.below.poverty	0.01066	0.02939	0.3627	0.7169
manufactur.emp	-0.02963	0.03368	-0.8796	0.3793
single.headed.fams	0.5475	0.11	4.975	7.843e-07	* * *
under18	0.0527	0.03265	1.614	0.1069
pop.dens	59.14	4.251	13.91	6.827e-40	* * *
perc.white	0.8534	0.008033	106.2	0	* * *
perc.black	0.2059	0.01186	17.37	2.86e-58	* * *
perc.latino	-0.06265	0.006473	-9.678	4.091e-21	* * *
ln.pop	-0.002683	0.001128	-2.377	0.01765	*
ln.aland	0.0091	0.001433	6.351	3.437e-10	* * *

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
886	10.57	0.9634	0.963

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)	-0.05785	0.02195	-2.635	0.008551	* *
poly.m	1038887	69942	14.85	8.837e-45	* * *
pop.below.poverty	0.03278	0.02642	1.241	0.215
manufactur.emp	0.09853	0.03094	3.185	0.001498	* *
single.headed.fams	0.1722	0.101	1.705	0.08856
under18	-0.01325	0.03004	-0.4411	0.6593
pop.dens	16.02	5.032	3.184	0.001502	* *
perc.white	0.8201	0.007601	107.9	0	* * *
perc.black	0.2209	0.01046	21.12	1.16e-80	* * *
perc.latino	-0.03256	0.006298	-5.17	2.891e-07	* * *
ln.pop	-0.003387	0.00103	-3.29	0.001042	* *
ln.aland	0.01077	0.001314	8.195	8.589e-16	* * *

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
908	9.647	0.9692	0.9688

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)	-0.08751	0.02598	-3.369	0.0007868	* * *
hwy.m	-0.0006485	0.0003345	-1.939	0.05285
pop.below.poverty	0.004592	0.02928	0.1568	0.8754
manufactur.emp	0.01373	0.03422	0.4012	0.6883
single.headed.fams	0.4862	0.1097	4.431	1.054e-05	* * *
under18	0.07921	0.03327	2.381	0.01748	*
pop.dens	65.49	4.164	15.73	2.024e-49	* * *
perc.white	0.8577	0.007988	107.4	0	* * *
perc.black	0.2187	0.01163	18.8	9.252e-67	* * *
perc.latino	-0.07054	0.006621	-10.65	4.838e-25	* * *
ln.pop	-0.001654	0.001202	-1.376	0.1692
ln.aland	0.008919	0.001453	6.137	1.261e-09	* * *

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
912	10.72	0.9618	0.9613

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)	-0.7073	0.0917	-7.713	3.346e-14	* * *
perc.acres.sfz	0.03077	0.01754	1.755	0.07965
pop.below.poverty	0.1016	0.1111	0.9148	0.3606
manufactur.emp	0.2749	0.1273	2.159	0.03113	*
single.headed.fams	2.362	0.4159	5.679	1.848e-08	* * *
under18	-0.08363	0.1234	-0.6775	0.4983
pop.dens	107	16.07	6.659	4.879e-11	* * *
perc.white	0.3785	0.03037	12.46	6.252e-33	* * *
perc.black	1.532	0.04482	34.17	3.685e-163	* * *
perc.latino	-0.2007	0.02447	-8.203	8.35e-16	* * *
ln.pop	0.04299	0.004266	10.08	1.12e-22	* * *
ln.aland	-0.008924	0.005416	-1.648	0.09977

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
885	39.95	0.8762	0.8746

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)	-0.6606	0.08811	-7.498	1.563e-13	* * *
poly.m	1897483	280747	6.759	2.508e-11	* * *
pop.below.poverty	0.1684	0.106	1.588	0.1126
manufactur.emp	0.4724	0.1242	3.804	0.0001521	* * *
single.headed.fams	1.669	0.4053	4.117	4.188e-05	* * *
under18	-0.219	0.1206	-1.816	0.06967
pop.dens	22.34	20.2	1.106	0.2691
perc.white	0.3117	0.03051	10.22	3.015e-23	* * *
perc.black	1.547	0.04198	36.85	1.232e-181	* * *
perc.latino	-0.1446	0.02528	-5.718	1.465e-08	* * *
ln.pop	0.04161	0.004133	10.07	1.149e-22	* * *
ln.aland	-0.005501	0.005274	-1.043	0.2972

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
907	38.72	0.8813	0.8798

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)	-0.5091	0.09451	-5.386	9.183e-08	* * *
hwy.m	0.006499	0.001217	5.34	1.181e-07	* * *
pop.below.poverty	0.0972	0.1065	0.9123	0.3619
manufactur.emp	0.1663	0.1245	1.335	0.1821
single.headed.fams	2.193	0.3993	5.492	5.177e-08	* * *
under18	-0.1789	0.1211	-1.478	0.1398
pop.dens	117.7	15.15	7.769	2.148e-14	* * *
perc.white	0.373	0.02907	12.83	9.752e-35	* * *
perc.black	1.531	0.04232	36.19	1.208e-177	* * *
perc.latino	-0.1798	0.02409	-7.464	1.981e-13	* * *
ln.pop	0.03565	0.004375	8.147	1.239e-15	* * *
ln.aland	-0.01166	0.005288	-2.204	0.02776	*

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
911	39.02	0.8792	0.8778

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)	-0.007972	0.04951	-0.161	0.8721
perc.acres.sfz	-0.02395	0.009487	-2.525	0.01176	*
residential.dissim	0.5654	0.01794	31.53	3.325e-146	* * *
pop.below.poverty	-0.05418	0.05916	-0.9157	0.3601
manufactur.emp	0.07228	0.06784	1.065	0.287
single.headed.fams	0.2275	0.2241	1.015	0.3103
under18	-0.1975	0.06598	-2.993	0.002839	* *
pop.dens	-75.69	9.47	-7.992	4.185e-15	* * *
perc.white	-0.09119	0.01744	-5.228	2.151e-07	* * *
perc.black	0.1572	0.02386	6.587	7.743e-11	* * *
perc.latino	-0.05175	0.01343	-3.853	0.0001251	* * *
ln.pop	0.03583	0.00228	15.71	3.575e-49	* * *
ln.aland	-0.02184	0.00293	-7.454	2.175e-13	* * *

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
885	21.27	0.7976	0.7948

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)	-0.03017	0.04857	-0.6213	0.5346
poly.m	41569	160374	0.2592	0.7955
residential.dissim	0.5556	0.01826	30.43	3.896e-140	* * *
pop.below.poverty	-0.05186	0.05793	-0.8953	0.3708
manufactur.emp	0.05234	0.06839	0.7653	0.4443
single.headed.fams	0.2533	0.222	1.141	0.2542
under18	-0.2159	0.06593	-3.274	0.001101	* *
pop.dens	-79.15	11.25	-7.033	4.024e-12	* * *
perc.white	-0.09051	0.01747	-5.18	2.746e-07	* * *
perc.black	0.1512	0.02294	6.593	7.366e-11	* * *
perc.latino	-0.04721	0.01395	-3.383	0.0007475	* * *
ln.pop	0.03499	0.002268	15.42	9.005e-48	* * *
ln.aland	-0.02066	0.00294	-7.027	4.185e-12	* * *

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
907	21.15	0.7957	0.793

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)	0.0413	0.05111	0.8081	0.4192
hwy.m	0.002621	0.0006558	3.996	6.972e-05	* * *
residential.dissim	0.5497	0.01732	31.75	6.666e-149	* * *
pop.below.poverty	-0.05924	0.05727	-1.034	0.3012
manufactur.emp	0.002113	0.06699	0.03153	0.9749
single.headed.fams	0.2671	0.2165	1.234	0.2176
under18	-0.2537	0.06531	-3.885	0.0001098	* * *
pop.dens	-75	9.213	-8.14	1.308e-15	* * *
perc.white	-0.09002	0.01694	-5.315	1.345e-07	* * *
perc.black	0.1466	0.02275	6.444	1.891e-10	* * *
perc.latino	-0.03848	0.01334	-2.884	0.004016	* *
ln.pop	0.03225	0.002363	13.64	1.162e-38	* * *
ln.aland	-0.02196	0.00288	-7.626	6.15e-14	* * *

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
911	20.97	0.7989	0.7962

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)	-0.03703	0.04582	-0.8082	0.4192
perc.acres.sfz	-0.0255	0.008779	-2.904	0.003774	* *
residential.dissim	0.5087	0.0166	30.65	1.489e-140	* * *
pop.below.poverty	-0.1151	0.05475	-2.102	0.0358	*
manufactur.emp	-0.04796	0.06278	-0.7639	0.4451
single.headed.fams	0.04283	0.2074	0.2065	0.8364
under18	-0.1511	0.06106	-2.475	0.01352	*
pop.dens	-57.12	8.764	-6.517	1.209e-10	* * *
perc.white	-0.08554	0.01614	-5.299	1.478e-07	* * *
perc.black	0.1372	0.02209	6.211	8.166e-10	* * *
perc.latino	-0.02999	0.01243	-2.413	0.01603	*
ln.pop	0.02964	0.00211	14.05	1.459e-40	* * *
ln.aland	-0.0158	0.002712	-5.828	7.885e-09	* * *

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
885	19.69	0.7879	0.7849

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)	-0.06341	0.04513	-1.405	0.1603
poly.m	294769	149008	1.978	0.04821	*
residential.dissim	0.4901	0.01697	28.89	3.813e-130	* * *
pop.below.poverty	-0.1132	0.05382	-2.103	0.03573	*
manufactur.emp	-0.03854	0.06355	-0.6064	0.5444
single.headed.fams	0.05747	0.2063	0.2786	0.7806
under18	-0.183	0.06126	-2.987	0.002898	* *
pop.dens	-70.73	10.46	-6.763	2.432e-11	* * *
perc.white	-0.09082	0.01623	-5.595	2.941e-08	* * *
perc.black	0.1298	0.02131	6.092	1.65e-09	* * *
perc.latino	-0.01886	0.01296	-1.455	0.1461
ln.pop	0.0284	0.002107	13.48	8.211e-38	* * *
ln.aland	-0.01382	0.002732	-5.059	5.12e-07	* * *

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
907	19.65	0.7853	0.7824

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)	-0.03019	0.04786	-0.6308	0.5284
hwy.m	0.001205	0.0006142	1.963	0.05	*
residential.dissim	0.4963	0.01622	30.61	1.738e-141	* * *
pop.below.poverty	-0.1249	0.05363	-2.329	0.02009	*
manufactur.emp	-0.08896	0.06274	-1.418	0.1565
single.headed.fams	0.1376	0.2028	0.6785	0.4976
under18	-0.1826	0.06116	-2.986	0.002906	* *
pop.dens	-57.93	8.628	-6.714	3.353e-11	* * *
perc.white	-0.08434	0.01586	-5.318	1.326e-07	* * *
perc.black	0.1265	0.0213	5.937	4.137e-09	* * *
perc.latino	-0.02203	0.01249	-1.763	0.07817
ln.pop	0.02749	0.002213	12.42	8.216e-33	* * *
ln.aland	-0.01523	0.002697	-5.648	2.18e-08	* * *

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
911	19.64	0.7849	0.782

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)	-0.03758	0.008238	-4.562	5.788e-06
perc.acres.sfz	-0.0003753	0.001604	-0.234	0.8151
residential.isol_white	0.5239	0.01139	45.99	1.688e-235
pop.below.poverty	0.01404	0.009899	1.419	0.1563
manufactur.emp	-0.02617	0.01135	-2.306	0.02132
single.headed.fams	0.01359	0.03758	0.3617	0.7176
under18	0.03413	0.01101	3.1	0.002
pop.dens	-6.18	1.582	-3.906	0.000101
perc.white	0.514	0.01009	50.94	1.065e-263
perc.black	-0.01762	0.004631	-3.804	0.0001525
perc.latino	-0.008198	0.002294	-3.574	0.0003707
ln.pop	-0.001429	0.0003812	-3.747	0.0001904
ln.aland	0.0006143	0.0004936	1.245	0.2136


(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 $R^2$
886	3.56	0.9974	0.9973

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

	Estimate	Std. Error	t value	Pr(>\|t\|)
(Intercept)	-0.03721	0.008183	-4.547	6.187e-06	* * *
poly.m	87891	28996	3.031	0.002506	* *
residential.isol_white	0.5028	0.01241	40.53	9.659e-205	* * *
pop.below.poverty	0.01369	0.009819	1.394	0.1636
manufactur.emp	-0.0161	0.01155	-1.394	0.1638
single.headed.fams	-0.0261	0.03756	-0.6949	0.4873
under18	0.02417	0.01116	2.166	0.03055	*
pop.dens	-8.809	1.879	-4.688	3.196e-06	* * *
perc.white	0.5313	0.01056	50.32	3.685e-263	* * *
perc.black	-0.008806	0.004754	-1.852	0.06429
perc.latino	-0.004866	0.002373	-2.05	0.04064	*
ln.pop	-0.001585	0.0003846	-4.12	4.146e-05	* * *
ln.aland	0.0009531	0.0005059	1.884	0.05987

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
908	3.583	0.9973	0.9973

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

	Estimate	Std. Error	t value	Pr(>\|t\|)
(Intercept)	-0.04333	0.008738	-4.959	8.479e-07	* * *
hwy.m	-0.000237	0.0001121	-2.115	0.0347	*
residential.isol_white	0.518	0.01114	46.49	2.439e-241	* * *
pop.below.poverty	0.0117	0.009788	1.195	0.2324
manufactur.emp	-0.01956	0.01144	-1.71	0.08763
single.headed.fams	-0.004507	0.03708	-0.1215	0.9033
under18	0.03396	0.01116	3.044	0.002404	* *
pop.dens	-5.801	1.572	-3.69	0.0002374	* * *
perc.white	0.5216	0.009924	52.56	2.15e-276	* * *
perc.black	-0.01208	0.004589	-2.633	0.008621	* *
perc.latino	-0.007832	0.002349	-3.334	0.00089	* * *
ln.pop	-0.001169	0.0004024	-2.906	0.003756	* *
ln.aland	0.0007117	0.0004959	1.435	0.1516

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
912	3.585	0.9973	0.9973

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

Table continues below
	Estimate	Std. Error	t value	Pr(>\|t\|)
(Intercept)	-0.08882	0.0278	-3.194	0.001452
perc.acres.sfz	0.01406	0.005154	2.729	0.00648
residential.isol_black	0.4822	0.009929	48.57	3.171e-250
pop.below.poverty	-0.04224	0.03261	-1.295	0.1956
manufactur.emp	0.05688	0.03745	1.519	0.1292
single.headed.fams	-0.2909	0.1242	-2.341	0.01945
under18	0.04063	0.03622	1.122	0.2623
pop.dens	-7.836	4.832	-1.622	0.1052
perc.white	-0.04078	0.009668	-4.218	2.727e-05
perc.black	0.5254	0.0201	26.13	1.195e-111
perc.latino	0.009435	0.00745	1.266	0.2057
ln.pop	-0.0003284	0.001322	-0.2483	0.8039
ln.aland	0.003813	0.001591	2.396	0.01679


(Intercept)	* *
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	*

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
885	11.72	0.9806	0.9803

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

Table continues below
	Estimate	Std. Error	t value	Pr(>\|t\|)
(Intercept)	-0.08382	0.02744	-3.054	0.002324
poly.m	249718	86966	2.871	0.004183
residential.isol_black	0.4742	0.0101	46.95	1.623e-243
pop.below.poverty	-0.04511	0.03209	-1.406	0.1601
manufactur.emp	0.09765	0.03783	2.582	0.009992
single.headed.fams	-0.3448	0.1236	-2.789	0.005396
under18	0.03452	0.0365	0.9457	0.3446
pop.dens	-15.93	6.107	-2.609	0.009239
perc.white	-0.04433	0.009742	-4.551	6.087e-06
perc.black	0.5433	0.02013	26.99	7.681e-118
perc.latino	0.01401	0.007777	1.802	0.07189
ln.pop	-2.353e-05	0.001318	-0.01786	0.9858
ln.aland	0.003966	0.001594	2.487	0.01305


(Intercept)	* *
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	*

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
907	11.7	0.9802	0.98

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

Table continues below
	Estimate	Std. Error	t value	Pr(>\|t\|)
(Intercept)	-0.07929	0.02888	-2.746	0.006155
hwy.m	0.000178	0.0003718	0.4789	0.6321
residential.isol_black	0.4799	0.01003	47.85	2.976e-249
pop.below.poverty	-0.05393	0.03205	-1.682	0.09284
manufactur.emp	0.06773	0.03748	1.807	0.07108
single.headed.fams	-0.2847	0.1221	-2.332	0.01991
under18	0.05169	0.03645	1.418	0.1565
pop.dens	-4.199	4.707	-0.8921	0.3726
perc.white	-0.0376	0.009508	-3.955	8.261e-05
perc.black	0.5335	0.01995	26.75	2.139e-116
perc.latino	0.007519	0.007466	1.007	0.3141
ln.pop	-0.0003513	0.001363	-0.2577	0.7967
ln.aland	0.003565	0.001594	2.236	0.0256


(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 $R^2$
911	11.73	0.9801	0.9798

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

	Estimate	Std. Error	t value	Pr(>\|t\|)
(Intercept)	0.442	0.02454	18.01	6.748e-62	* * *
perc.acres.sfz	-0.001913	0.004779	-0.4002	0.6891
residential.isol_white	0.7502	0.03394	22.11	2.442e-86	* * *
pop.below.poverty	0.09775	0.02949	3.314	0.0009567	* * *
manufactur.emp	-0.02265	0.03381	-0.67	0.5031
single.headed.fams	0.1159	0.112	1.035	0.301
under18	0.07945	0.03281	2.422	0.01566	*
pop.dens	-8.961	4.714	-1.901	0.05765
perc.white	-0.2457	0.03006	-8.174	1.046e-15	* * *
perc.black	-0.6687	0.0138	-48.46	9.884e-250	* * *
perc.latino	-0.5698	0.006834	-83.37	0	* * *
ln.pop	0.008315	0.001136	7.32	5.644e-13	* * *
ln.aland	-0.00389	0.001471	-2.645	0.008312	* *

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
886	10.61	0.9779	0.9776

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)	0.4415	0.02411	18.31	7.628e-64	* * *
poly.m	145904	85447	1.708	0.08807
residential.isol_white	0.7113	0.03656	19.46	1.376e-70	* * *
pop.below.poverty	0.09818	0.02893	3.393	0.000721	* * *
manufactur.emp	-0.005997	0.03405	-0.1761	0.8602
single.headed.fams	0.05516	0.1107	0.4984	0.6183
under18	0.06326	0.03287	1.924	0.05463
pop.dens	-13.39	5.538	-2.418	0.01579	*
perc.white	-0.2136	0.03112	-6.864	1.253e-11	* * *
perc.black	-0.6536	0.01401	-46.66	6.672e-242	* * *
perc.latino	-0.5646	0.006994	-80.72	0	* * *
ln.pop	0.008114	0.001133	7.159	1.699e-12	* * *
ln.aland	-0.00335	0.001491	-2.247	0.02489	*

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
908	10.56	0.9778	0.9775

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)	0.4534	0.02571	17.64	5.254e-60	* * *
hwy.m	0.0004708	0.0003297	1.428	0.1536
residential.isol_white	0.7422	0.03278	22.64	3.649e-90	* * *
pop.below.poverty	0.0923	0.0288	3.205	0.001398	* *
manufactur.emp	-0.03	0.03366	-0.8915	0.3729
single.headed.fams	0.07894	0.1091	0.7236	0.4695
under18	0.06469	0.03282	1.971	0.04906	*
pop.dens	-7.848	4.624	-1.697	0.09004
perc.white	-0.2352	0.0292	-8.055	2.521e-15	* * *
perc.black	-0.6614	0.0135	-48.99	4.799e-256	* * *
perc.latino	-0.5653	0.00691	-81.8	0	* * *
ln.pop	0.007662	0.001184	6.472	1.589e-10	* * *
ln.aland	-0.003966	0.001459	-2.718	0.006693	* *

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
912	10.55	0.9778	0.9775

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

Table continues below
	Estimate	Std. Error	t value	Pr(>\|t\|)
(Intercept)	0.04972	0.02923	1.701	0.08932
perc.acres.sfz	0.01093	0.005419	2.016	0.04407
residential.isol_black	0.269	0.01044	25.76	2.804e-109
pop.below.poverty	-0.001808	0.03429	-0.05272	0.958
manufactur.emp	-0.006875	0.03938	-0.1746	0.8615
single.headed.fams	-0.207	0.1306	-1.585	0.1134
under18	0.1513	0.03808	3.973	7.676e-05
pop.dens	-16.95	5.081	-3.336	0.0008858
perc.white	-0.1107	0.01017	-10.89	5.588e-26
perc.black	0.6571	0.02114	31.09	2.135e-143
perc.latino	-0.08298	0.007833	-10.59	9.547e-25
ln.pop	0.002523	0.00139	1.815	0.06991
ln.aland	-0.0006009	0.001673	-0.3591	0.7196


(Intercept)
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

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
885	12.32	0.9724	0.9721

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

Table continues below
	Estimate	Std. Error	t value	Pr(>\|t\|)
(Intercept)	0.05311	0.02846	1.866	0.06234
poly.m	378185	90172	4.194	3.014e-05
residential.isol_black	0.2576	0.01047	24.6	1.827e-102
pop.below.poverty	-0.0023	0.03327	-0.06914	0.9449
manufactur.emp	0.04538	0.03922	1.157	0.2475
single.headed.fams	-0.3036	0.1282	-2.368	0.01808
under18	0.1277	0.03785	3.375	0.0007696
pop.dens	-31.37	6.333	-4.954	8.704e-07
perc.white	-0.1159	0.0101	-11.48	1.565e-28
perc.black	0.6829	0.02087	32.72	5.018e-155
perc.latino	-0.07292	0.008064	-9.043	9.322e-19
ln.pop	0.002835	0.001366	2.075	0.03826
ln.aland	-0.0002214	0.001653	-0.1339	0.8935


(Intercept)
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

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
907	12.13	0.9728	0.9724

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

	Estimate	Std. Error	t value	Pr(>\|t\|)
(Intercept)	0.07439	0.03002	2.478	0.0134	*
hwy.m	0.0008357	0.0003865	2.162	0.03088	*
residential.isol_black	0.2637	0.01043	25.29	5.395e-107	* * *
pop.below.poverty	-0.01648	0.03332	-0.4945	0.621
manufactur.emp	-0.008656	0.03896	-0.2221	0.8242
single.headed.fams	-0.2092	0.1269	-1.648	0.09963
under18	0.1435	0.0379	3.787	0.0001629	* * *
pop.dens	-13.23	4.894	-2.703	0.007009	* *
perc.white	-0.1055	0.009885	-10.67	4.067e-25	* * *
perc.black	0.6712	0.02074	32.37	6.243e-153	* * *
perc.latino	-0.08049	0.007762	-10.37	7.099e-24	* * *
ln.pop	0.00186	0.001417	1.312	0.1897
ln.aland	-0.00115	0.001658	-0.6937	0.4881

Fitting linear model: mxtmp
Observations	Residual Std. Error	$R^2$	Adjusted $R^2$
911	12.2	0.9724	0.972

Division / mvmt / segregation models for CBSAs

kira

Single-barricade Models; No residential seg controls

Setup:

Results:

inflow.seg

inflow.seg - perc.acres.sfz

inflow.seg - poly.m

inflow.seg - hwy.m

outflow.seg

outflow.seg - perc.acres.sfz

outflow.seg - poly.m

outflow.seg - hwy.m

inflow.isol_white

inflow.isol_white - perc.acres.sfz

inflow.isol_white - poly.m

inflow.isol_white - hwy.m

inflow.isol_black

inflow.isol_black - perc.acres.sfz

inflow.isol_black - poly.m

inflow.isol_black - hwy.m

outflow.isol_white

outflow.isol_white - perc.acres.sfz

outflow.isol_white - poly.m

outflow.isol_white - hwy.m

outflow.isol_black

outflow.isol_black - perc.acres.sfz

outflow.isol_black - poly.m

outflow.isol_black - hwy.m

residential.dissim

residential.dissim - perc.acres.sfz

residential.dissim - poly.m

residential.dissim - hwy.m

residential.isol_white

residential.isol_white - perc.acres.sfz

residential.isol_white - poly.m

residential.isol_white - hwy.m

residential.isol_black

residential.isol_black - perc.acres.sfz

residential.isol_black - poly.m

residential.isol_black - hwy.m

Single-barricade Models; With residential seg controls

Setup:

Results:

inflow.seg

inflow.seg - perc.acres.sfz

inflow.seg - poly.m

inflow.seg - hwy.m

outflow.seg

outflow.seg - perc.acres.sfz

outflow.seg - poly.m

outflow.seg - hwy.m

inflow.isol_white

inflow.isol_white - perc.acres.sfz

inflow.isol_white - poly.m

inflow.isol_white - hwy.m

inflow.isol_black

inflow.isol_black - perc.acres.sfz

inflow.isol_black - poly.m

inflow.isol_black - hwy.m

outflow.isol_white

outflow.isol_white - perc.acres.sfz

outflow.isol_white - poly.m

outflow.isol_white - hwy.m

outflow.isol_black

outflow.isol_black - perc.acres.sfz

outflow.isol_black - poly.m

outflow.isol_black - hwy.m