to use the classification of households based on Leyden poverty line including the differences in goals of credit by the …

We investigate the accuracy of ex ante assessments of vulnerability to income poverty using cross-sectional data and … vulnerability predictions is limited even when panel data are used. In part this low accuracy is due to low poverty incidence and … high mobility in and out of poverty. …

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 distribution of poverty in Thailand. In particular, geospatial data examined …

Tracking poverty is predicated on the availability of comparable consumption data and reliable price deflators. However …, regular series of strictly comparable data are only rarely available. Poverty prediction methods that track consumption … tested directly. This study analyses the performance of poverty prediction models based on small area estimation (SAE …

Tracking poverty is predicated on the availability of comparable consumption data and reliable price deflators. However … response, poverty prediction methods that track consumption correlates as opposed to consumption itself have been developed …-an assumption that cannot usually be tested directly. This study analyzes the performance of poverty prediction models based on …