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. Author manuscript; available in PMC: 2018 Nov 28.
Published in final edited form as: Hous Policy Debate. 2017 Jan 16;27(4):584–610. doi: 10.1080/10511482.2016.1254098

Table 6.

ITT and TOT Effects of Neighborhood (odds ratios) on Young Adult Outcomes Interactions with Age when First Resided in DHA Housing

Last School GPAˆˆˆ High School Drop Out Witnessed Violence
Neighborhood Characteristics w/Interaction with Age into DHAˆˆ ITT TOT ITT TOT ITT TOT
Social Vulnerability −0.003 −0.002 1.007 1.023 1.007 0.993
* Age into DHA 0.000 0.000 0.999 0.997 1.000 1.001
Occupational Prestige 0.013 0.046 0.845*** 0.842 0.856* 0.767
* Age into DHA −0.001 −0.002 1.004 1.001 1.004 0.992
Latino Residents (%) −0.011 0.003 1.003 0.960 1.001 0.990
* Age into DHA 0.001** 0.002 0.997 0.999 1.000 1.004
Foreign-Born Residents (%) 0.005 −0.032 0.992 0.967 1.103 0.950
* Age into DHA −0.001 0.000 1.003 1.007 0.992 1.004
Violent Crime Rate 0.003 −0.022 0.971 1.019 1.020 1.132
* Age into DHA −0.001 0.003 1.003 0.991 0.996 0.983
Property Crime Rate 0.005 0.009 0.994 0.977 1.010 1.015
* Age into DHA −0.001** −0.001 1.001 1.005* 0.999 0.999
 R-squared (Pseudo for logit) 0.098 0.115 0.093 0.125 0.305 0.343
F (or Wald Chi-squared for logit) 2.42 2.59 46.84 47.04 58.44 64.51
prob > F (or Chi-squared) 0.000 0.000 0.005 0.005 0.000 0.000
F (or Chi-squared) (neigh'd vars.) 2.43 2.31 16.44 20.24 46.34 48.51
prob > F (or Chi-squared) 0.005 0.009 0.172 0.063 0.000 0.000
*

p <0.10;

**

p <0.05;

***

p <0.01; based on robust std. errors adjusted for clustering in households

ˆˆ

ITT uses first-offered neighborhood; TOT uses IV for neighborhood experienced; see Table A1

ˆˆˆ

Estimated via OLS; all others via logit All models include covariates as in Table 1