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. Author manuscript; available in PMC: 2014 Feb 1.
Published in final edited form as: J R Stat Soc Ser A Stat Soc. 2012 Jun 28;176(2):389–413. doi: 10.1111/j.1467-985X.2012.01039.x

Table 3.

Posterior mean estimates and 95% posterior intervals (PIs) from the bivariate CAR Poisson hurdle model (excluding age parameters). Estimates for percent occupied housing and percent below poverty are given for a 10-unit change.

Model
Component		 Variable Parameter Posterior
Mean		 95% PI
Bernoulli Intercept β11 −0.65 (−0.73, −0.58)
Male β12 0.20 (0.17, 0.22)
Non-Hispanic black β13 0.68 (0.65, 0.71)
Hispanic β14 0.56 (0.50, 0.61)
Private Insurance β15 −1.32 (−1.35, −1.30)
% Occupied Housing α11 0.02 (−0.02, 0.06)
% Below Poverty α12 0.10 (0.07, 0.12)
Poisson Intercept β21 0.70 (0.64, 0.77)
Male β22 −0.13 (−0.15, −0.11)
Non-Hispanic black β23 0.05 (0.03, 0.08)
Hispanic β24 −0.57 (−0.62, −0.54)
Private Insurance β25 −0.60 (−0.62, −0.58)
% Occupied Housing α21 0.01 (−0.03, 0.05)
% Below Poverty α22 0.04 (0.02, 0.07)
Variance Components Var(ϕ1i) Σ11 0.22 (0.16, 0.31)
Cov(ϕ1i, ϕ2i) Σ12 0.10 (0.06, 0.15)
Var(ϕ2i) Σ22 0.14 (0.10, 0.19)
Corr(ϕ1i, ϕ2i) ρ 0.57 (0.42, 0.70)