Table 2.
Gender | Areas | Model | df | Deviance | AIC | BIC |
Male | ||||||
Urban | ||||||
A | 60 | 1506.89 | 2080.53 | 2115.2935 | ||
AP | 56 | 270.76 | 852.40 | 896.43 | ||
AC | 42 | 495.37 | 1105.01 | 1181.49 | ||
APC | 39 | 84.94 | 9.34 | −83.44 | ||
Rural | ||||||
A | 60 | 3073.02 | 3724.61 | 3759.38 | ||
AP | 56 | 590.02 | 1249.61 | 1293.64 | ||
AC | 42 | 1855.70 | 2543.29 | 2619.77 | ||
APC | 39 | 156.77 | 11.33 | −11.61 | ||
Female | ||||||
Urban | ||||||
A | 60 | 665.48 | 1160.04 | 1194.80 | ||
AP | 56 | 217.57 | 720.13 | 764.16 | ||
AC | 42 | 164.75 | 695.31 | 771.78 | ||
APC | 39 | 63.22 | 8.00 | −105.16 | ||
Rural | ||||||
A | 60 | 1807.10 | 2382.52 | 2417.28 | ||
AP | 56 | 426.75 | 1010.17 | 1054.20 | ||
AC | 42 | 783.05 | 1394.47 | 1470.95 | ||
APC | 39 | 64.58 | 9.09 | −103.80 |
AIC, Akaike’s information criteria; APC, age-period-cohort; BIC, Bayesian information criteria.