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In Vietnam, one can now benefit from child poverty estimations that are geared to the specific cultural and social context, multidimensional and child-focused to create awareness about the issue of child poverty and inform policies towards the reduction of child poverty.
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Poverty mapping uses small area estimation techniques to estimate levels of deprivation (poverty, undernutrition) across small geographic domains within a country.
Estimation of regional poverty level is a key issue for making strategies to eradicate poverty.
A three-step Feasible Generalized Least Squares (FGLS) estimation procedure was employed to estimate vulnerability to poverty and to model the effect of health status on expected future consumption and variations in future consumption.
Thus, the estimation of vulnerability to poverty depends on such elements as the distributional assumption of normality of log consumption, the choice of poverty line, the expected level of log consumption and the expected variability of log consumption.
Two reasons motivated this choice; first, unlike VEU, VEP allows the use of cross section data in the estimation of vulnerability to poverty.
Two poverty lines were employed in the vulnerability estimations.
There may have been a bias in exposure estimation since housing in high poverty areas may be situated closer to traffic, yet neighborhoods with high and low poverty levels were assigned the same air pollution values.
We aim to address this issue by presenting an estimation of the magnitude of accessibility poverty risk in developed countries.
Variations in poverty indices could result in under- or over-estimation of coverage of health facility deliveries among the poor.
The estimation results show that even though poverty is endogenous in health care provider choice equations, there is no unobserved heterogeneity in our models.
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