Showing 1 - 10 of 2,021
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 …
Persistent link: https://www.econbiz.de/10008663055
Persistent link: https://www.econbiz.de/10012244156
The at-risk-of-poverty rate is one of the three indicators used for monitoring progress towards the Europe 2020 poverty … policies. However, due to complicated nature of the European Union Statistics on Income and Living Conditions (EU-SILC) poverty …") the current at-risk-of-poverty rate for the European Union (EU) countries based on EU-SILC microdata from a previous …
Persistent link: https://www.econbiz.de/10009763917
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. …
Persistent link: https://www.econbiz.de/10010358150
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 …
Persistent link: https://www.econbiz.de/10012403931
We propose a novel Bayesian Graded Response Model (BGRM) for food security measurement. Our BGRM has several attractive features. It produces continuous food security estimates and measures of estimation uncertainty at the household level. Unlike the USDA's official measurement model, the BGRM...
Persistent link: https://www.econbiz.de/10014544738
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. …
Persistent link: https://www.econbiz.de/10010290956
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. -- vulnerability ; poverty ; ROC ; German panel data …
Persistent link: https://www.econbiz.de/10009615143
We investigate the accuracy of ex ante assessments of vulnerability to poverty using cross-sectional data and panel … vulnerability predictions is limited even when panel data are used. In part this low accuracy is due to low poverty incidence and … high mobility. -- vulnerability ; poverty ; ROC ; German panel data …
Persistent link: https://www.econbiz.de/10009671469
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 …
Persistent link: https://www.econbiz.de/10013241472