The spatial granularity of poverty statistics can have a significant impact on the efficiency of targeting resources meant to improve the living conditions of the poor. However, achieving granularity typically requires increasing the sample sizes of surveys on household income and expenditure or...

While economic growth is important for poverty reduction, the rather stellar performance of the Philippines in economic growth has still not translated into reduction of poverty. This is in large part due to issues pertaining to distribution. Inequalities in income, as well as inequities in...

Typhoons, floods, and other weather-related shocks can inflict suffering on local populations and create life-threatening conditions for the poor. Yet, natural disasters also present a development opportunity to upgrade capital stock, adopt new technologies, enhance the risk-resiliency of...

This study reviews two methods of measuring pove rty dynamics. The components approach uses the longitudinally averaged income to determine whether a household is chronically poor or not. On the other hand, the spells approach counts the number of poverty episodes experienced by a household....

Poverty statistics are conventionally compiled using data from household income and expenditure survey or living standards survey. This study examines an alternative approach in estimating poverty by investigating whether readily available geospatial data can accurately predict the spatial...

The spatial granularity of poverty statistics can have a significant impact on the efficiency of targeting resources meant to improve the living conditions of the poor. However, achieving granularity typically requires increasing the sample sizes of surveys on household income and expenditure or...

Poverty statistics are conventionally compiled using data from household income and expenditure survey or living standards survey. This study examines an alternative approach in estimating poverty by investigating whether readily available geospatial data can accurately predict the spatial...

Intra-household inequality continues to remain a neglected corner despite renewed focus on income and wealth inequality. Using the LIS micro data, we present evidence that this neglect is Equivalent to ignoring up to a third of total inequality. For a wide range of countries and over four...