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Multidimensional Poverty in the Philippines

Authors: Carlos C Bautista;

Multidimensional Poverty in the Philippines

Abstract

An index of multidimensional poverty is constructed for the Philippines using the Alkire-Foster methodology. Data from the annual poverty indicators survey (APIS) collected in 2011 are used to calculate the index. An examination of household poverty using mixed logit analysis shows that large-sized households have higher poverty risk. A substantial reduction of this risk is observed for households with heads who at a minimum were able to enter high school. The household head’s health status has a negative impact on the household’s risk of being poor. Small but statistically significant effects, less than 2 percentage points in the probability of being in the state of poverty, are observed with respect to the rest of the variables. Poverty likelihood rises with average household age but declines with the head’s age. The likelihood declines with the presence of OFW remittances. The household is less likely to be in poverty with a female head. These are compared with results of estimates using the income poverty definition. (Original version title: Multidimensional Poverty in the Philippines)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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