Table 6 Parameters of the model used to generate the results, in the state of Pernambuco, Brazil, 2014
Parameter | Coefficient | Estimate | P-value |
μ | Intercept | 1.1454 | 0 |
Number of rounds done: 2 | 0.1362 | 0 | |
Number of rounds done: 3 | 0.1386 | 0 | |
Baseline endemic index | 0.0141 | 0 | |
SVI income and work | −0.0395 | 0 | |
Cluster 2 | −0.1167 | 0 | |
Cluster 3 | 0.0751 | 0 | |
Cluster 4 | 0.2575 | 0 | |
Cluster 5 | 0.1839 | 0 | |
(Number of rounds done: 2) * (Baseline endemic index) | 0.0003 | 0 | |
(Number of rounds done: 3) * (Baseline endemic index) | −0.0006 | 0 | |
(Cluster 2) * (Baseline endemic index) | −0.0027 | 0 | |
(Cluster 3) * (Baseline endemic index) | −0.0051 | 0 | |
(Cluster 4) * (Baseline endemic index) | −0.0119 | 0 | |
(Cluster 5) * (Baseline endemic index) | 0 | 0.98 | |
(Baseline endemic index) * (SVI human capital) | −0.0251 | 0 | |
log(σ2) | Intercept | −17.539 | 0 |
Cluster 2 | −12.191 | 0 | |
Cluster 3 | −13.025 | 0 | |
Cluster 4 | 14.5965 | 0 | |
Cluster 5 | 14.8149 | 0 | |
log(ν) | Intercept | −0.911 | 0 |
log(τ) | Intercept | −1.7454 | 0 |
Cluster 2 | −0.2965 | 0 | |
Cluster 3 | −0.4099 | 0 | |
Cluster 4 | 2.1373 | 0 | |
Cluster 5 | 1.8407 | 0 | |
Random Effects | |||
Parameter | Municipalities | Beta 00 | |
μ | Itaquitinga | −0.23 | |
Jaboatão dos Guararapes | −0.48 | ||
Jaqueira | −0.71 | ||
João Alfredo | −0.64 | ||
Lagoa do Carro | −0.61 | ||
Machados | −0.5 | ||
Maraial | −0.07 | ||
São Benedito do Sul | −0.26 | ||
São Lourenço da Mata | −0.48 | ||
São Vicente Ferrer | −0.43 | ||
Tamandaré | −0.32 | ||
Timbaúba | −0.58 | ||
Tracunhaém | −0.43 | ||
Vicência | −0.46 | ||
Vitória de Santo Antão | −0.29 | ||
Água Preta | −1.15 | ||
Aliança | −0.49 | ||
Araçoiaba | −0.21 | ||
Belém de Maria | −0.35 | ||
Bom Conselho | −0.24 | ||
Bom Jardim | −0.39 | ||
Cabo de Santo Agostinho | −0.18 | ||
Catende | −0.21 | ||
Correntes | −0.43 | ||
Cortês | −0.41 | ||
Escada | −0.51 | ||
Gameleira | −0.49 | ||
Goiana | −0.61 | ||
Ipojuca | −0.21 | ||
Itambé | −0.74 | ||